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Can computer network attributes be useful for identifying low-credibility websites? A case study in Brazil

Bibliographic Data

ID16859332
AuthorsJoão M M Couto (0000-0003-1706-2497, Universidade Federal de Minas Gerais, corresponding author), Julio C S Reis (0000-0003-0563-0434, Universidade Federal de Viçosa), Fabrício Benevenuto (0000-0002-9658-5984, Universidade Federal de Minas Gerais)
Year2024
Volume14
Issue1
Publication date2024-08-07
Open AccessYes
TypeARTICLE
VenueSocial Network Analysis and Mining (JOURNAL)
Journal identifiersISSN: 1869-5450 • E-ISSN: 1869-5469
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s13278-024-01330-w
OpenAlexW4401395696
LanguageEN
References cited27

Computer security · Credibility · Data science · Internet privacy · Misinformation · Political science · The Internet · World Wide Web · Computer Science · Misinformation and Its Impacts · Social Media and Politics · Spam and Phishing Detection

  • The rise of social bots

    Open Access•Emilio Ferrara, Onur Varol et al.•Communications of the ACM•2016

  • Auditing radicalization pathways on YouTube

    Open Access•Maria Helena Ribeiro, Manoel Horta Ribeiro et al.•Proceedings of the 2020…•2020

  • The Kolmogorov-Smirnov Test for Goodness of Fit

    Frank J Massey•Journal of the American…•1951

  • Inoculating Against Fake News About Covid-19

    Open Access•Sander Van Der Linden, Jon Roozenbeek et al.•Frontiers in Psychology•2020

  • Disinformation and social bot operations in the run up to the 2017 French presidential election

    Open Access•Emilio Ferrara•First Monday•2017

  • Social Media and Fake News in the 2016 Election

    Open Access•Hunt Allcott, Matthew Gentzkow•The Journal of Economic…•2017

  • Fake news spreader detection using trust-based strategies in social networks with bot filtration

    Open Access•Bhavtosh Rath, Aadesh Salecha et al.•Social Network Analysis and Mining•2022

Highly citedNo

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