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Controversial information spreads faster and further than non-controversial information in Reddit

Datos Bibliográficos

ID7520192
AutoresJasser, Jasser Jasser (University of Central Florida), Ivan Garibay (0000-0002-3302-9382, University of Central Florida, autor de correspondencia), Steve Scheinert (Deloitte (United States)), Alexander V Mantzaris (0000-0002-0026-5725, University of Central Florida)
Año2021
Volumen5
Número1
Páginas111-122
Fecha de publicación2021-05-25
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaJournal of Computational Social Science (JOURNAL)
Identificadores de la revistaISSN: 2432-2725 • E-ISSN: 2432-2717
EditorialSpringer Nature (PUBLISHER • SG)
DOI10.1007/s42001-021-00121-z
OpenAlexW3165338456
IdiomaEN
Citas recibidas6
Referencias citadas19

Online users discuss and converse about all sorts of topics on social networks. Facebook, Twitter, Reddit are among many other networks where users can have this freedom of information sharing. The abundance of information shared over these networks makes them an attractive area for investigating all aspects of human behavior on information dissemination. Among the many interesting behaviors, controversiality within social cascades is of high interest to us. It is known that controversiality is bound to happen within online discussions. The online social network platform Reddit has the feature to tag comments as controversial if the users have mixed opinions about that comment. The difference between this study and previous attempts at understanding controversiality on social networks is that we do not investigate topics that are known to be controversial. On the contrary, we examine typical cascades with comments that the readers deemed to be controversial concerning the matter discussed. This work asks whether controversially initiated information cascades have distinctive characteristics than those not controversial in Reddit. We used data collected from Reddit consisting of around 17 million posts and their corresponding comments related to cybersecurity issues to answer these emerging questions. From the comparative analyses conducted, controversial content travels faster and further from its origin. Understanding this phenomenon would shed light on how users or organization might use it to their help in controlling and spreading a specific beneficiary message

Converse · Data science · Epistemology · Information cascade · Internet privacy · Phenomenon · Social media · Social network (sociolinguistics · World Wide Web · Complex Network Analysis Techniques · Computer Science · Misinformation and Its Impacts · Opinion Dynamics and Social Influence · Psychology · Social Psychology

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Obras citantes distintas6
Citas por año1,5
Intervalo de citas2022 - 2026 (5)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 6
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae