Collective response to media coverage of the COVID-19 pandemic on Reddit and Wikipedia: mixed-methods analysis

dc.contributor.authorGozzi, Nicolò
dc.contributor.authorStarnini, Michele
dc.contributor.authorPanisson, André
dc.contributor.authorPaolotti, Daniela
dc.contributor.authorPerra, Nicola
dc.contributor.groupUniversitat Politècnica de Catalunya. SIMCON - First-principles approaches to condensed matter physics: quantum effects and complexity
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Física
dc.date.accessioned2022-05-10T17:55:50Z
dc.date.available2022-05-10T17:55:50Z
dc.date.issued2020-10-12
dc.description.abstractBackground: The exposure and consumption of information during epidemic outbreaks may alter people’s risk perception and trigger behavioral changes, which can ultimately affect the evolution of the disease. It is thus of utmost importance to map the dissemination of information by mainstream media outlets and the public response to this information. However, our understanding of this exposure-response dynamic during the COVID-19 pandemic is still limited. Objective: The goal of this study is to characterize the media coverage and collective internet response to the COVID-19 pandemic in four countries: Italy, the United Kingdom, the United States, and Canada. Methods: We collected a heterogeneous data set including 227,768 web-based news articles and 13,448 YouTube videos published by mainstream media outlets, 107,898 user posts and 3,829,309 comments on the social media platform Reddit, and 278,456,892 views of COVID-19–related Wikipedia pages. To analyze the relationship between media coverage, epidemic progression, and users’ collective web-based response, we considered a linear regression model that predicts the public response for each country given the amount of news exposure. We also applied topic modelling to the data set using nonnegative matrix factorization. Results: Our results show that public attention, quantified as user activity on Reddit and active searches on Wikipedia pages, is mainly driven by media coverage; meanwhile, this activity declines rapidly while news exposure and COVID-19 incidence remain high. Furthermore, using an unsupervised, dynamic topic modeling approach, we show that while the levels of attention dedicated to different topics by media outlets and internet users are in good accordance, interesting deviations emerge in their temporal patterns. Conclusions: Overall, our findings offer an additional key to interpret public perception and response to the current global health emergency and raise questions about the effects of attention saturation on people’s collective awareness and risk perception and thus on their tendencies toward behavioral change.
dc.description.peerreviewedPeer Reviewed
dc.description.versionPostprint (published version)
dc.identifier.citationGozzi, N. [et al.]. Collective response to media coverage of the COVID-19 pandemic on Reddit and Wikipedia: mixed-methods analysis. "Journal of medical internet research", 12 Octubre 2020, vol. 22, núm. 10, p. e21597:1-e21597:18.
dc.identifier.doi10.2196/21597
dc.identifier.issn1438-8871
dc.identifier.otherhttps://arxiv.org/abs/2006.06446
dc.identifier.urihttps://hdl.handle.net/2117/367198
dc.language.isoeng
dc.publisherJMIR
dc.relation.publisherversionhttps://www.jmir.org/2020/10/e21597/
dc.rights.accessOpen Access
dc.rights.licensenameAttribution 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Física
dc.subject.lcshSocial media
dc.subject.lcshSocial networks
dc.subject.lcshCOVID-19 (Disease)
dc.subject.lcshCommunication
dc.subject.lemacMitjans de comunicació social
dc.subject.lemacXarxes Socials
dc.subject.lemacCOVID-19 (Malaltia)
dc.subject.lemacComunicació
dc.subject.otherSocial media
dc.subject.otherNews coverage
dc.subject.otherDigital epidemiology
dc.subject.otherInfodemiology
dc.subject.otherInfoveillance
dc.subject.otherInfodemic
dc.subject.otherDigital epidemiology
dc.subject.otherData science
dc.subject.otherTopic modeling
dc.subject.otherPandemic
dc.subject.otherCOVID-19
dc.subject.otherReddit
dc.subject.otherWikipedia
dc.subject.otherInformation
dc.subject.otherResponse
dc.subject.otherRisk perception
dc.subject.otherBehavior
dc.titleCollective response to media coverage of the COVID-19 pandemic on Reddit and Wikipedia: mixed-methods analysis
dc.typeArticle
dspace.entity.typePublication
local.citation.authorGozzi, N.; Starnini, M.; Panisson, A.; Paolotti, D.; Perra, N.
local.citation.endingPagee21597:18
local.citation.number10
local.citation.publicationNameJournal of medical internet research
local.citation.startingPagee21597:1
local.citation.volume22
local.identifier.drac33209820

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