Can computer network attributes be useful for identifying low-credibility websites? A case study in Brazil
Bibliographic Data
| ID | 16859332 |
|---|---|
| Authors | João 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) |
| Year | 2024 |
| Volume | 14 |
| Issue | 1 |
| Publication date | 2024-08-07 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Network Analysis and Mining (JOURNAL) |
| Journal identifiers | ISSN: 1869-5450 • E-ISSN: 1869-5469 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s13278-024-01330-w |
| OpenAlex | W4401395696 |
| Language | EN |
| References cited | 27 |
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
Auditing radicalization pathways on YouTube
The Kolmogorov-Smirnov Test for Goodness of Fit
Inoculating Against Fake News About Covid-19
Disinformation and social bot operations in the run up to the 2017 French presidential election
Social Media and Fake News in the 2016 Election
Fake news spreader detection using trust-based strategies in social networks with bot filtration
| Highly cited | No |
|---|