The COVID-19 social media infodemic — TEI-tagged view

Matteo Cinelli, Walter Quattrociocchi, Alessandro Galeazzi, Carlo Michele Valensise, Emanuele Brugnoli, Ana Lucia Schmidt, Paola Zola, Fabiana Zollo, Antonio Scala · 2020 · social-psychology · doi:10.1038/s41598-020-73510-5 · TEI xml · tagged edition · index · concepts · authors
Where this record's text came from. 2026-08-21 and 2026-08-28 schema-0.3 passes: every quote verified as an exact substring of the staged text and anchored at merge time; concept terms verified present; every edge endpoint an existing node.
Other fields define these differently the same word, defined another way in another discipline
misinformation 4 fields · engagement 4 fields · dataset 2 fields · interest 2 fields · lack of transparency 2 fields
Tags on this paper every tag the record carries, whether or not the words occur in the text below — a number is how many papers in the corpus carry that tag; a tag with no number is unique to this paper
questionable reliable2 news outlets2 single articles platform2 Gab2 volume4 reactions2 amplification factor fake news3 keywords post diffusion of information massive data analysis Twitter5 Instagram YouTube Reddit4 engagement10 interest2 epidemic models basic reproduction number R0 misinformation6 spreading patterns rumors’ amplification SARS-CoV-2 virus outbreak global threat disintermediated news cycle infodemic3 misinformation phenomena social response information is consumed and reported behavioral response of the population public health interventions communication dynamics users’ preferences and attitudes algorithms3 content promotion social perceptions framing of narratives policy-making2 polarized groups shared narratives comparative analysis five social media platforms 8 million comments and posts 45 days secondary cases “infectious” individual R0 = 1 mainstream platforms less regulated social media platforms crowdfunded social media social news aggregation collective filtering of information Google Trends’ COVID-19 related queries 1,342,103 posts 7,465,721 comments 3,734,815 users interactions2 users’ activity long tail dynamics of reactions and content consumption Natural Language Processing techniques word embedding10 word vector representation clustering procedures cumulative number of new posts each day first situation report specific timings for content consumption interaction mechanisms standard epidemic models monotonic increasing trend growth mechanisms phenomenological models infective process EXP model SIR (Susceptible, Infected, Recovered) compartmental model supercritical engagement rate social contagion phenomena abrupt jump continuous models2 Media Bias/Fact Check2 extreme bias propaganda/conspiracies poor or no sourcing lack of transparency3 overall reactions strong linear correlation growth dynamics re-scaled version re-scaling factor ρ mainstream social media coefficient of relative amplification permeability of a platform Twitter is the most neutral YouTube amplifies questionable sources less Reddit reduces the impact of questionable sources Gab strongly amplifies them interaction paradigm interaction patterns of groups of users tailored communication strategies Reddit dataset YouTube Data API Twitter API stream API search API Instagram Dataset URLs MediaBias/FactCheck (MBFC) Factual/Sourcing Conspiracy-Pseudoscience Pro-Science binary label matching ability Partitioning Around Medoids (PAM) algorithm Skip-gram model2 distributed representations of words Latent Semantic Analysis (LSA)2 Latent Dirichlet Allocation (LDA)2 linear regularities among words English HTML code, URLs and email addresses stop-words cosine distance matrix average silhouette width average pairwise Jaccard similarity word clouds mechanistic models adjusted exponential model data-scarce settings classical SIR model susceptible population infected individuals rate β4 γ linear regression coefficients R2 values average number of secondary cases Word embeddings3 EXP E U /E R interaction paradigm imposed by the specific social media information spreading perils of misinformation phenomena dataset4 R0 audience and interaction mechanisms cluster words linear relationship between reliable and questionable sources observational-study83
Method, as described: keyword-driven collection from five platform APIs over 45 days, 8 million posts and comments, links tagged reliable or questionable from Media Bias/Fact Check, and an epidemic model fitted to obtain a basic reproduction number per platform

Our tag layer for this paper

Cross-disciplinary analysis
content-tags & facets: phenomenon · claim-type · cross-domain-transfer · mechanism · claim-relation · replication-status · limitation — grounded in the full text
phenomenonan infodemic - and a quantity whose value is a property of the environment measured rather than of the thing measured— “Surprisingly, all the posts show a strong linear correlation, i.e., the number of posts/reactions relying on questionable and reliable sources grows with the same pace inside the same social media platform. We observe the same phenomenon also for the engagement with reliable and questionable sources. Hence, the growth dynamics of…
claim-typeexistence— “We address the diffusion of information about the COVID‑19 with a massive data analysis on Twitter, Instagram, YouTube, Reddit and Gab. We analyze engagement and interest in the COVID‑19 topic and provide a differential assessment on the evolution of the discourse on a global scale for each platform and their users. We fit information…
method — evidence— “In all cases we guided the data collection by a set of selected keywords based on Google Trends’ COVID-19 related queries such as: coronavirus, pandemic, coronaoutbreak, china, wuhan, nCoV, IamNotAVirus, coronavirus_update, coronavirus_transmission, coronavirusnews, coronavirusoutbreak.”
object of study — evidence— “We address the diffusion of information about the COVID‑19 with a massive data analysis on Twitter, Instagram, YouTube, Reddit and Gab. We analyze engagement and interest in the COVID‑19 topic and provide a differential assessment on the evolution of the discourse on a global scale for each platform and their users. We fit information…
research question — evidence— “While most of the studies on misinformation diffusion focus on a single platform17,26,33, the dynamics behind information consumption might be particular to the environment in which they spread on. Consequently, in this paper we perform a comparative analysis on five social media platforms (Twitter, Instagram, YouTube, Reddit and Gab) during…
contribution — evidence— “Surprisingly, all the posts show a strong linear correlation, i.e., the number of posts/reactions relying on questionable and reliable sources grows with the same pace inside the same social media platform. We observe the same phenomenon also for the engagement with reliable and questionable sources. Hence, the growth dynamics of…
transferfrom epidemiology: the basic reproduction number from epidemiology, applied to users who begin posting about a topic rather than to infected individuals— “Furthermore, we model the spread of information with epidemic models, characterizing for each platform its basic reproduction number ( R0 ), i.e. the average number of secondary cases (users that start posting about COVID-19) an “infectious” individual (an individual already posting on COVID-19) will create. In epidemiology, R0 = 1 is a…transfers[0]
transferfrom journalism fact-checking: a third-party fact-checking organisation's outlet ratings, used as the ground truth for content reliability— “We tag links as reliable or questionable according to the data reported by the independent fact-checking organization Media Bias/Fact Check34. In order to clarify the limits of an approach that is based on labelling news outlets rather than single articles, as for instance performed in33,48, we report the definitions used in this paper for…transfers[1]
mechanismthe same curve, a different multiplier posts and reactions from questionable outlets grow at the same pace as those from reliable ones inside a platform, so the questionable series is a re-scaling of the reliable one. THE ONLY THING THAT VARIES IS THE SCALING FACTOR, AND IT VARIES BY PLATFORM - which means a single-platform study measures its platform, not the phenomenon— “Surprisingly, all the posts show a strong linear correlation, i.e., the number of posts/reactions relying on questionable and reliable sources grows with the same pace inside the same social media platform. We observe the same phenomenon also for the engagement with reliable and questionable sources. Hence, the growth dynamics of…mechanisms[0]
mechanismvolume and reaction come apart Gab posts about 70% as much questionable as reliable content and reacts to it about three times more. Counting posts and counting reactions therefore rank the platforms differently, and the amplification factor exists precisely to separate them— “Among less regulated social media, a peculiar effect is observed in Gab: while the volume of posts from questionable sources is just the ∼ 70% of the volume of posts from reliable ones, the volume of reactions for the former ones is ∼ 3 times bigger than the volume for the latter ones.”mechanisms[1]
mechanismthe label is on the outlet, and the authors say so reliability comes from Media Bias/Fact Check at the level of the news outlet. Every article from a listed outlet inherits its label, and every article from an unlisted one is invisible. The paper states the limit and prints the six criteria rather than citing the list, which is what makes the boundary checkable— “We tag links as reliable or questionable according to the data reported by the independent fact-checking organization Media…mechanisms[2]
mechanismthe keyword set is the aperture every platform's data was gathered by the same Google-Trends-derived keyword list, and on Gab the hashtags were then manually browsed and selected by meaning. What is in the dataset is what those keywords caught, and the comparability across five platforms rests on the list being applied identically
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mechanisms[3]
mechanisman epidemiological model borrowed for language R0 is the number of secondary cases an infectious individual creates. Here the infection is posting about COVID-19, so R0 > 1 means the topic keeps spreading. The metaphor imports a threshold at 1 that the social process did not have
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mechanisms[4]
critiques single-platform studies of misinformation diffusion, on the grounds that the dynamics may be particular to the environment
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claim_relations[0]
qualifies the finding that fake news spreads faster and wider than fact-based news, by noting it might be a platform-specific effect
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claim_relations[1]
qualifies its own reliability labels, by naming outlet-level rather than article-level tagging as the limit and printing the criteria
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claim_relations[2]
extends epidemiological modelling, by fitting a basic reproduction number to the spread of a topic rather than of a disease
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claim_relations[3]
sensea questionable source - AS DEFINED HERE: a news OUTLET systematically showing extreme bias, promotion of propaganda or conspiracies, poor sourcing, unverifiable information, a lack of transparency, or fake news
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senses[0]
sensea questionable source - WHAT THE LABEL CANNOT SEE: the individual article. The authors name labelling outlets rather than single articles as the limit of the approach, in the sentence that adopts it
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senses[1]
sense`fake news` - AS A TERM: possibly `inadequate, since political debate often resorts to labelling opposite news as unreliable or fake`
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senses[2]
sensethe spread of misinformation - AS A PATTERN: the same growth dynamics as reliable content, re-scaled
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senses[3]
sensethe spread of misinformation - AS A VOLUME: a ratio strongly dependent on the platform, with Gab's reactions running three times the reliable volume
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senses[4]
senseR0 - AS AN EPIDEMIC PARAMETER: the average number of secondary cases one infectious individual creates, with 1 as the threshold
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senses[5]
senseInfodemic - misinformation during outbreak management can fragment social response and interfere with disease countermeasures
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senses[6]
senseCross-platform unit of comparison - the same COVID-19 argument is observed in environments with different audiences and interaction settings
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senses[7]
senseEngagement distribution - all five platforms show long-tailed user activity even though their interaction volumes differ
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senses[8]
senseEpidemic analogy - exposure precedes first posting, an already-posting user is infectious, and R0 above one denotes possible infodemic growth
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senses[9]
senseModel limitation - Instagram's abrupt growth jump drives an implausibly large SIR R0 and cannot be represented by a continuous epidemic model
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senses[10]
senseSource-class growth - questionable and reliable content share a linear growth pace within a platform but differ by a platform-specific rescaling factor
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senses[11]
senseVolume versus amplification - Gab has lower questionable posting volume than reliable volume while questionable reactions are several times larger
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senses[12]
senseRelative amplification - alpha above one favors questionable sources, below one favors reliable sources, and near one is neutral
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senses[13]
senseOutlet-label aperture - only posts with external URLs matching the MBFC list can receive the study's Questionable or Reliable classification
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senses[14]
sensePhenomenological versus mechanistic modeling - one reproduces empirical curves without a growth mechanism while the other tries to encode the mechanism
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senses[15]
controlfive platforms analysed over the same time window with the same keyword set, rather than one — held
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— rules out a platform-specific effect being reported as a property of misinformation - which the paper names as the flaw in single-platform studies
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controls[0]
controlthe growth of reliable-source content plotted against questionable-source content within each platform, rather than questionable content alone — held
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— rules out a rise in misinformation that is really a rise in posting - the two grow at the same pace, so the ratio is the only thing that carries information
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controls[1]
controlthe amplification factor defined and measured separately from post volume — held
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— rules out posting and reacting being conflated - on Gab they point in opposite directions
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controls[2]
controlthe six criteria for a questionable source printed in the paper rather than cited to the fact-checking organisation — held
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— rules out a category readers cannot inspect - the boundary is stated even though the labels come from a third party
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controls[3]
controlkeyword-driven collection applied identically across platforms, with the Gab hashtags manually browsed because no documented API guide exists — held — rules out a cross-platform difference that is really a difference in how each platform was searched
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controls[4]
weightsingle-platform studies of misinformation diffusion, on the grounds that the dynamics may be particular to the environment — 0.95
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claim_relations[0]
weightthe finding that fake news spreads faster and wider than fact-based news, by noting it might be a platform-specific effect — 0.95
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claim_relations[1]
weightits own reliability labels, by naming outlet-level rather than article-level tagging as the limit and printing the criteria — 0.95
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claim_relations[2]
weightepidemiological modelling, by fitting a basic reproduction number to the spread of a topic rather than of a disease — 0.9
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claim_relations[3]
differs in (stated by the tagger, no quotation)news outlets —distinct-from→ single articles — what unit the reliability judgement is attached toconcept_edges[1]
relationnews outlets —distinct-from→ single articles — reliability is tagged at the outlet level from a third-party fact-checker; other studies label individual articles, and the authors name the difference as the limit of their approach
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concept_edges[1]
weightnews outlets —distinct-from→ single articles — 0.95
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concept_edges[1]
auditvolume —distinct-from→ reactions — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but the span compares post volume with reactions; distinct-from is loose.
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concept_edges[2]
differs in (stated by the tagger, no quotation)volume —distinct-from→ reactions — whether the platform's difference is in what is posted or in what is reacted toconcept_edges[2]
relationvolume —distinct-from→ reactions — on Gab the volume of questionable posts is about 70% of reliable ones while their reactions are about three times bigger - the volume and the response come apart, and only on that platform
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concept_edges[2]
weightvolume —distinct-from→ reactions — 0.95
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concept_edges[2]
auditamplification factor —operationalised-as→ post — Audit 2026-09-28: DOUBTFUL - read against its span and kept, but E is the average number of reactions to a post; the endpoint 'post' drops 'reactions'.
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concept_edges[3]
relationamplification factor —operationalised-as→ post — amplification is defined as the average number of reactions a post receives, which separates how much is published from how much is responded to
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concept_edges[3]
weightamplification factor —operationalised-as→ post — 0.95
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concept_edges[3]
noteGab —is-a→ crowdfunded social media — The paper directly classifies Gab as a crowdfunded social medium.
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concept_edges[4]
noteReddit —is-a→ social news aggregation — The paper directly classifies Reddit as social news aggregation.
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concept_edges[5]
noteR0 —operationalised-as→ average number of secondary cases — The i.e. clause supplies the study's platform-level operational definition.
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concept_edges[6]
noteinteractions —operationalised-as→ engagement — The study equates its interaction measure with engagement using i.e.
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concept_edges[7]
noteword embedding —operationalised-as→ word vector representation — The paper defines the embedding representation with an i.e. clause.
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concept_edges[8]
differs in (stated by the tagger, no quotation)phenomenological models —contrasted-with→ mechanistic models — reproducing empirical data without versus incorporating growth mechanismsconcept_edges[9]
notephenomenological models —contrasted-with→ mechanistic models — The methods section explicitly distinguishes the two model families.
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concept_edges[9]
noteWord embeddings —operationalised-as→ distributed representations of words — An i.e. clause defines word embeddings as distributed representations.
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concept_edges[10]
notecoefficient of relative amplification —operationalised-as→ E U /E R — The coefficient is explicitly defined as the unreliable-to-reliable amplification ratio.
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concept_edges[11]
auditinteraction paradigm imposed by the specific social media —causes→ information spreading — Audit 2026-09-28: DOUBTFUL - read against its full span and kept, but 'Our analysis suggests' spreading is driven by the interaction paradigm; hedged.
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concept_edges[12]
noteinteraction paradigm imposed by the specific social media —causes→ information spreading — The analysis suggests that platform interaction paradigms drive spreading; weight reflects 'suggests'.
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concept_edges[12]
relationinteraction paradigm imposed by the specific social media —causes→ information spreading — information spreading is driven by the interaction paradigm imposed by the specific social media or/and by the specific interaction patterns of groups of users engaged with the topic
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concept_edges[12]
weightinteraction paradigm imposed by the specific social media —causes→ information spreading — 0.7
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concept_edges[12]
outcomecontrol — held
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controls[0]
outcomecontrol — held
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
controls[1]
outcomecontrol — held
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
controls[2]
outcomecontrol — held
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
controls[3]
outcome (stated by the tagger, no quotation)control — held
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controls[4]
weightR0 > 1 → infodemic — 0.7
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unhoused_relations[3]
weightspecific timings for content consumption → audience and interaction mechanisms — 0.6
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unhoused_relations[5]
no type for thisadjusted exponential model → EXP — The paper indicates the adjusted exponential model as EXP; the gate's same-as cues do not include this wording, so the alias remains unhoused.
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unhoused_relations[0]
no type for thisalgorithms → content promotion — Algorithms mediate content promotion; mediates is absent from the eight governed types.
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unhoused_relations[1]
no type for thisGoogle Trends’ COVID-19 related queries → dataset — The query set filters which platform content enters the dataset; selects-or-filters-into is absent from the governed types.
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unhoused_relations[2]
no type for thisR0 > 1 → infodemic — R0 above one indicates the possibility of an infodemic; indicator-of is absent from the eight governed types.
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unhoused_relations[3]
no type for thisR0 → engagement rate — R0 is used as a proxy for engagement rate; proxy-for is absent from the eight governed types.
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unhoused_relations[4]
no type for thisspecific timings for content consumption → audience and interaction mechanisms — Platform timing patterns may depend on audience and social/algorithmic interaction mechanisms; depends-on is absent and the statement is hedged.
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unhoused_relations[5]
no type for thisgrowth dynamics → re-scaling factor ρ — Questionable-source growth is a rescaled version of reliable-source growth, with rho providing the platform-dependent scale; scaled-by is absent.
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unhoused_relations[6]
no type for thisConspiracy-Pseudoscience → Questionable — MBFC outlets in Conspiracy-Pseudoscience are assigned the binary Questionable label; labelled-as by a classifier is absent from the governed types.
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unhoused_relations[7]
no type for thisPartitioning Around Medoids (PAM) algorithm → cluster words — PAM is used to cluster words from their embedding vectors; used-for is absent from the governed types.
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unhoused_relations[8]
no type for thisR2 values → linear relationship between reliable and questionable sources — High R-squared values confirm the linear source-class diffusion relationship; supports-or-confirms is absent from the eight types.
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unhoused_relations[9]
limitationreliability is labelled at the level of the news outlet rather than the single article, and the authors name this as the limit of the approach
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limitations[0]
limitationthe definition of `fake news` may be `inadequate, since political debate often resorts to labelling opposite news as unreliable or fake`
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limitations[1]
limitationTwitter data before 27 January could not be gathered because of API limitations, so that platform's series starts later than the others
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limitations[2]
limitationGab has no official API guide, so hashtags were manually browsed and selected by meaning rather than by a documented procedure
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limitations[3]
limitationthe whole dataset is bounded by a keyword list derived from Google Trends
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limitations[4]
Content tags
content-observations: finding · quantity · variable · definition · key-term — grounded in the full text
finding
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content_tags.findings[0]
finding
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.findings[1]
finding
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.findings[2]
finding
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content_tags.findings[3]
finding
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content_tags.findings[4]
finding
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content_tags.findings[5]
quantitydays of data across five platforms, more than 8 million comments and posts
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content_tags.quantities[0]
variableplatform
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content_tags.variables[0]
variableamplification factor
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content_tags.variables[1]
definitionquestionable sources
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content_tags.definitions[0]
definitionamplification factor
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content_tags.definitions[1]
Concepts
terms this paper carries, each with the sentence it was cut from — the layer that joins one paper to another. Terms with no quote yet are on CONCEPTS.html.
conceptquestionable — not defined in this paper's own words; news outlets carrying one or more of six named characteristics, tagged at the OUTLET level from a third-party fact-checker rather than judged per article
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concepts[0]
conceptreliable — not defined in this paper's own words; outlets showing none of those characteristics - which may still carry a liberal or conservative bias without that compromising reliability
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concepts[1]
conceptnews outlets — not defined in this paper's own words; the unit the reliability label is attached to, and the paper's own stated limit
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concepts[2]
conceptsingle articles — not defined in this paper's own words; the finer unit other studies label at, named here as what this approach does not do
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concepts[3]
conceptplatform — not defined in this paper's own words; the environment the measurement is taken in - and, in this paper's central result, what the ratio of questionable to reliable content is a property of
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concepts[4]
conceptGab — not defined in this paper's own words; the least regulated platform in the set, where questionable posts are ~70% of the reliable volume and their reactions ~3 times bigger
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concepts[5]
conceptvolume — not defined in this paper's own words; how much is posted - which on Gab runs at ~70% of the reliable figure while the reactions run three times higher
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concepts[6]
conceptreactions — not defined in this paper's own words; endorsements and comments on a post - the quantity that comes apart from volume, and the reason the amplification factor exists
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concepts[7]
conceptamplification factor — not defined in this paper's own words; the average number of reactions to a post, defined here to separate how much is posted from how much is reacted to
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concepts[8]
conceptfake news — not defined in this paper's own words; a term the authors call possibly inadequate, because political debate uses it to label opposing news
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[9]
conceptkeywords — not defined in this paper's own words; the Google-Trends-derived query set that decides which posts enter the dataset on every platform - the aperture of the whole study
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[10]
conceptpost — not defined in this paper's own words; the unit amplification is measured per - the denominator that turns a count of reactions into a rate, and the reason volume and response can be separated at all
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[11]
conceptdiffusion of information — not defined in this paper's own words; cross-platform spread of COVID-19 information
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concepts[12]
conceptmassive data analysis — not defined in this paper's own words; analysis across five social platforms
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concepts[13]
conceptTwitter — not defined in this paper's own words; mainstream platform in the comparative study
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concepts[14]
conceptInstagram — not defined in this paper's own words; mainstream platform in the comparative study
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concepts[15]
conceptYouTube — not defined in this paper's own words; mainstream video platform in the comparative study
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concepts[16]
conceptReddit — not defined in this paper's own words; less regulated discussion platform in the comparative study
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concepts[17]
conceptengagement — not defined in this paper's own words; user interaction with COVID-19 content
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concepts[18]
conceptinterest — not defined in this paper's own words; user attention to the COVID-19 topic
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concepts[19]
conceptepidemic models — not defined in this paper's own words; models fitted to information spreading
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concepts[20]
conceptbasic reproduction number R0 — not defined in this paper's own words; platform-specific epidemic-style growth parameter
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[21]
conceptmisinformation — information from questionable sources
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concepts[22]
conceptspreading patterns — not defined in this paper's own words; growth patterns compared across source classes
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concepts[23]
conceptrumors’ amplification — not defined in this paper's own words; platform-dependent amplification outcome
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concepts[24]
conceptSARS-CoV-2 virus outbreak — not defined in this paper's own words; disease outbreak generating the information crisis
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concepts[25]
conceptglobal threat — not defined in this paper's own words; WHO characterization of the outbreak
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concepts[26]
conceptdisintermediated news cycle — not defined in this paper's own words; information environment around the epidemic
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concepts[27]
conceptinfodemic — not defined in this paper's own words; misinformation peril during outbreak management
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concepts[28]
conceptmisinformation phenomena — not defined in this paper's own words; false or unreliable information during an outbreak
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[29]
conceptsocial response — not defined in this paper's own words; collective response influenced and fragmented by misinformation
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concepts[30]
conceptinformation is consumed and reported — not defined in this paper's own words; seeking and reporting behavior shaped by the news cycle
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concepts[31]
conceptbehavioral response of the population — not defined in this paper's own words; population behavior incorporated into epidemic forecasts
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concepts[32]
conceptpublic health interventions — not defined in this paper's own words; countermeasures modeled with behavioral response
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[33]
conceptcommunication dynamics — dynamics behind content consumption
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[34]
conceptusers’ preferences and attitudes — not defined in this paper's own words; inputs mediated by platform algorithms
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concepts[35]
conceptalgorithms — not defined in this paper's own words; mediators of content promotion and information spreading
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concepts[36]
conceptcontent promotion — not defined in this paper's own words; algorithm-facilitated distribution of content
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concepts[37]
conceptsocial perceptions — not defined in this paper's own words; collective perceptions shaped by the platform shift
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concepts[38]
conceptframing of narratives — not defined in this paper's own words; narrative construction affected by social media
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concepts[39]
conceptpolicy-making — not defined in this paper's own words; public process influenced by information diffusion
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concepts[40]
conceptpolarized groups — not defined in this paper's own words; groups forming around shared narratives
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concepts[41]
conceptshared narratives — not defined in this paper's own words; worldview-consistent content around which groups polarize
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concepts[42]
conceptcomparative analysis — not defined in this paper's own words; same-topic comparison across five platforms
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concepts[43]
conceptfive social media platforms — Twitter, Instagram, YouTube, Reddit and Gab
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concepts[44]
concept8 million comments and posts — not defined in this paper's own words; approximate dataset volume
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concepts[45]
concept45 days — not defined in this paper's own words; study observation duration
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concepts[46]
conceptsecondary cases — not defined in this paper's own words; users newly posting after exposure
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concepts[47]
concept“infectious” individual — not defined in this paper's own words; user already posting about COVID-19 in the analogy
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concepts[48]
conceptR0 = 1 — not defined in this paper's own words; epidemiological threshold value
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concepts[49]
conceptmainstream platforms — Twitter, Instagram and YouTube
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concepts[50]
conceptless regulated social media platforms — Gab and Reddit
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concepts[51]
conceptcrowdfunded social media — not defined in this paper's own words; class assigned to Gab
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concepts[52]
conceptsocial news aggregation — not defined in this paper's own words; class assigned to Reddit
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concepts[53]
conceptcollective filtering of information — not defined in this paper's own words; Reddit information-selection model
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concepts[54]
conceptGoogle Trends’ COVID-19 related queries — not defined in this paper's own words; query source guiding collection
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concepts[55]
concept1,342,103 posts — not defined in this paper's own words; post count in the derived dataset
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[56]
concept7,465,721 comments — not defined in this paper's own words; comment count in the derived dataset
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[57]
concept3,734,815 users — not defined in this paper's own words; user count in the derived dataset
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[58]
conceptinteractions — not defined in this paper's own words; engagement actions with COVID-19 topics
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[59]
conceptusers’ activity — not defined in this paper's own words; long-tailed distribution of platform activity
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concepts[60]
conceptlong tail — not defined in this paper's own words; shape of the activity distribution
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concepts[61]
conceptdynamics of reactions and content consumption — not defined in this paper's own words; similar behavior across platforms
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concepts[62]
conceptNatural Language Processing techniques — not defined in this paper's own words; methods used to extract discussion topics
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concepts[63]
conceptword embedding — not defined in this paper's own words; word-vector representation of each platform corpus
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concepts[64]
conceptword vector representation — not defined in this paper's own words; embedding in which contextual similarity is spatial proximity
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concepts[65]
conceptclustering procedures — not defined in this paper's own words; procedures separating groups of words and topics
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concepts[66]
conceptcumulative number of new posts each day — not defined in this paper's own words; daily engagement-growth measure
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concepts[67]
conceptfirst situation report — not defined in this paper's own words; WHO event near the cross-platform behavior change
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concepts[68]
conceptspecific timings for content consumption — not defined in this paper's own words; platform-dependent timing pattern
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[69]
conceptinteraction mechanisms — not defined in this paper's own words; social and algorithmic mechanisms differing by platform
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concepts[70]
conceptstandard epidemic models — not defined in this paper's own words; models previously used for social information spreading
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concepts[71]
conceptmonotonic increasing trend — not defined in this paper's own words; observed growth in new interacting users
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concepts[72]
conceptgrowth mechanisms — not defined in this paper's own words; mechanisms imposed by some epidemic models
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concepts[73]
conceptphenomenological models — not defined in this paper's own words; models emphasizing empirical reproducibility
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concepts[74]
conceptbasic reproduction number R0 — expected number of new infectors
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[75]
conceptinfective process — not defined in this paper's own words; mapping of new posting after topic exposure
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[76]
conceptEXP model — not defined in this paper's own words; adjusted exponential phenomenological model
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concepts[77]
conceptSIR (Susceptible, Infected, Recovered) compartmental model — not defined in this paper's own words; mechanistic epidemic model applied to authors
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[78]
conceptsupercritical — not defined in this paper's own words; R0 estimates above the epidemic threshold
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[79]
conceptengagement rate — not defined in this paper's own words; quantity proxied by R0
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concepts[80]
conceptsocial contagion phenomena — not defined in this paper's own words; spreading phenomena more complex than epidemic proxies
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concepts[81]
conceptabrupt jump — not defined in this paper's own words; Instagram author-growth discontinuity
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concepts[82]
conceptcontinuous models — not defined in this paper's own words; standard epidemic models unable to explain the jump
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[83]
conceptMedia Bias/Fact Check — not defined in this paper's own words; independent source classifier
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[84]
conceptextreme bias — not defined in this paper's own words; criterion for a questionable outlet
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[85]
conceptpropaganda/conspiracies — not defined in this paper's own words; criterion for a questionable outlet
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[86]
conceptpoor or no sourcing — not defined in this paper's own words; criterion for a questionable outlet
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[87]
conceptlack of transparency — not defined in this paper's own words; criterion for a questionable outlet
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[88]
conceptoverall reactions — not defined in this paper's own words; likes, endorsements and comments counted as interactions
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[89]
conceptstrong linear correlation — not defined in this paper's own words; same-pace cross-source growth within platforms
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[90]
conceptgrowth dynamics — not defined in this paper's own words; time evolution of source-linked posts and interactions
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[91]
conceptre-scaled version — not defined in this paper's own words; questionable growth related to reliable growth by a platform factor
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[92]
conceptre-scaling factor ρ — not defined in this paper's own words; platform-dependent questionable-to-reliable fraction
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[93]
conceptmainstream social media — not defined in this paper's own words; platforms where questionable posts are a small fraction
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[94]
conceptcoefficient of relative amplification — not defined in this paper's own words; ratio comparing amplification of source classes
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[95]
conceptpermeability of a platform — not defined in this paper's own words; platform tendency to amplify questionable versus reliable outlets
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[96]
conceptTwitter is the most neutral — not defined in this paper's own words; relative amplification near one
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[97]
conceptYouTube amplifies questionable sources less — not defined in this paper's own words; relative amplification below one
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[98]
conceptReddit reduces the impact of questionable sources — not defined in this paper's own words; relative amplification near one half
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[99]
conceptGab strongly amplifies them — not defined in this paper's own words; relative amplification near four
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[100]
conceptinteraction paradigm — not defined in this paper's own words; platform-imposed driver of spreading
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[101]
conceptinteraction patterns of groups of users — not defined in this paper's own words; engaged-user dynamics driving spreading
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[102]
concepttailored communication strategies — not defined in this paper's own words; crisis strategies informed by social dynamics
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[103]
conceptReddit dataset — not defined in this paper's own words; dataset downloaded through the Pushshift API
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[104]
conceptYouTube Data API — not defined in this paper's own words; video and comment collection interface
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[105]
conceptTwitter API — not defined in this paper's own words; search and stream collection interface
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[106]
conceptstream API — not defined in this paper's own words; one-percent stream sample
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[107]
conceptsearch API — not defined in this paper's own words; rate-limited random tweet sample
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[108]
conceptInstagram Dataset — not defined in this paper's own words; manually populated public-content dataset
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[109]
conceptURLs — not defined in this paper's own words; external links used to classify posts
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[110]
conceptMediaBias/FactCheck (MBFC) — not defined in this paper's own words; classification source for outlet labels
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[111]
conceptFactual/Sourcing — not defined in this paper's own words; MBFC category used for reliability labeling
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[112]
conceptConspiracy-Pseudoscience — not defined in this paper's own words; MBFC label mapped to Questionable
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[113]
conceptPro-Science — not defined in this paper's own words; MBFC reliability label
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[114]
conceptbinary label — not defined in this paper's own words; Questionable versus Reliable outlet assignment
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[115]
conceptmatching ability — not defined in this paper's own words; share of post domains found in the MBFC outlet list
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[116]
conceptPartitioning Around Medoids (PAM) algorithm — not defined in this paper's own words; algorithm clustering embedding vectors
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[117]
conceptSkip-gram model — not defined in this paper's own words; embedding model used for each platform corpus
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[118]
conceptdistributed representations of words — not defined in this paper's own words; neural word-vector representations
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[119]
conceptLatent Semantic Analysis (LSA) — not defined in this paper's own words; older text representation baseline
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[120]
conceptLatent Dirichlet Allocation (LDA) — not defined in this paper's own words; older topic representation baseline
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[121]
conceptlinear regularities among words — not defined in this paper's own words; structure preserved by embeddings
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[122]
conceptEnglish — not defined in this paper's own words; language retained during corpus cleaning
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[123]
conceptHTML code, URLs and email addresses — not defined in this paper's own words; material removed during text cleaning
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[124]
conceptstop-words — not defined in this paper's own words; tokens removed during text cleaning
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[125]
conceptcosine distance matrix — not defined in this paper's own words; proximity metric for clustering word vectors
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[126]
conceptaverage silhouette width — not defined in this paper's own words; criterion for selecting cluster count
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[127]
conceptaverage pairwise Jaccard similarity — not defined in this paper's own words; cluster-stability measure across subsamples
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[128]
conceptword clouds — not defined in this paper's own words; visual summaries used to identify topics
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[129]
conceptmechanistic models — not defined in this paper's own words; models incorporating mechanisms of growth
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[130]
conceptadjusted exponential model — not defined in this paper's own words; phenomenological model estimating R0
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[131]
conceptdata-scarce settings — not defined in this paper's own words; settings where the EXP model has been used
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[132]
conceptclassical SIR model — not defined in this paper's own words; mechanistic susceptible-infected-recovered model
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[133]
conceptsusceptible population — not defined in this paper's own words; population at risk of infection in SIR
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[134]
conceptinfected individuals — not defined in this paper's own words; infectious compartment in SIR
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[135]
conceptrate β — not defined in this paper's own words; SIR contact infection rate
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[136]
conceptγ — not defined in this paper's own words; SIR recovery rate
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[137]
conceptlinear regression coefficients — not defined in this paper's own words; coefficients relating source-class diffusion
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[138]
conceptR2 values — not defined in this paper's own words; fit values confirming the linear relationship
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[139]
conceptaverage number of secondary cases — not defined in this paper's own words; newly posting users created by one already-posting user
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[140]
conceptWord embeddings — not defined in this paper's own words; distributed neural representations of words
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[141]
conceptEXP — not defined in this paper's own words; abbreviation for the adjusted exponential model
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[142]
conceptE U /E R — not defined in this paper's own words; ratio defining relative amplification
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[143]
conceptinteraction paradigm imposed by the specific social media — not defined in this paper's own words; platform-specific interaction structure
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[144]
conceptinformation spreading — not defined in this paper's own words; diffusion outcome driven by platform and group dynamics
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[145]
conceptperils of misinformation phenomena — not defined in this paper's own words; problem denoted by infodemic
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[146]
conceptdataset — not defined in this paper's own words; collected cross-platform content
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[147]
conceptR0 > 1 — not defined in this paper's own words; supercritical threshold condition
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[148]
conceptR0 — not defined in this paper's own words; basic reproduction parameter used as engagement proxy
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[149]
conceptaudience and interaction mechanisms — not defined in this paper's own words; possible determinants of platform timing
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[150]
conceptQuestionable — not defined in this paper's own words; binary outlet label
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[151]
conceptcluster words — not defined in this paper's own words; operation performed on embedding vectors
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[152]
conceptlinear relationship between reliable and questionable sources — not defined in this paper's own words; relationship confirmed by high R-squared
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
concepts[153]
Statistics — cross-field join keys
field-invariant statistical terms, used in their statistical sense (gated on a number / symbol / test). A p-value or a standard deviation means the SAME thing in physics, biology, psychology and sociology — so these are the strongest cross-field join keys. Grounded verbatim.
R0
Quotation withheld — this paper is not ours to reproduce, and the page has already quoted as much of it as the rights layer allows. The tag, its field and its confidence stand; the sentence is at the publisher.
content_tags.statistics[0]

When we have changed our mind. Some entries in the table begin with a word in capitals and the reason for it. EVIDENCE CORRECTED — the finding still stands, but we had quoted the wrong sentence from the paper, and the quotation has been replaced with the right one. RETRACTED — the entry itself was wrong; it stays on the page, marked, with the reason, rather than being deleted. WITHDRAWN AND REPLACED — the entry was wrong, and a corrected version of it appears in the entries below. Each mark carries its own reason, in brackets, because the reasons differ from one entry to the next. An entry we have WITHDRAWN is removed from this page and kept in the record, with its reason. A line reading Audit and a date is a later re-reading of the entry against its whole sentence: DOUBTFUL means it was kept, and the reason says what is loose about it. Quotation marks inside the tagger's sentence. Where a tag is the tagger's own sentence, a phrase in quotation marks inside it is borrowed from the paper — the tagger's wording around it is not. The paper's own sentence is the evidence quote for that row; on this page it is withheld with the article, and the article is at its publisher. Nothing inside quotation marks anywhere on this page is ours: if it is quoted, it is the paper's. Whose words a concept carries. A concept entry records a term the paper itself uses, so the term, the sense given for it, and its evidence are the paper's own words, quoted where the paper fixes them. This is the opposite of a sense entry in the tag table, which is the tagger's sentence about how the paper uses a term. Where a concept entry could not be grounded in the paper's words, the entry says so on its own row.

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