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What Do Fact Checkers Fact-check When?

Autor: Ribeiro, M., Zannettou, S., Goga, O., Benevenuto, F., West, R.

Recent research suggests that not all fact checking efforts are equal: when and what is fact checked plays a pivotal role in effectively correcting misconceptions. In this paper, we propose a framework to study fact checking efforts using Google Tren

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1874::7caa0f28ff01e006231eff27cdaf4368
https://hdl.handle.net/21.11116/0000-0009-7B9F-B21.11116/0000-0009-7BA1-7

A Dataset of Fact-Checked Images Shared on WhatsApp During the Brazilian and Indian Elections

Autor: Reis, JCS, Melo, P, Garimella, K, Almeida, JM, Eckles, D, Benevenuto, F

Publikováno v: arXiv

Recently, messaging applications, such as WhatsApp, have been reportedly abused by misinformation campaigns, especially in Brazil and India. A notable form of abuse in WhatsApp relies on several manipulated images and memes containing all kinds of fa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1789eb7239ecb9f8b143fafcb5221098
http://arxiv.org/abs/2005.02443

Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations

Autor: Chakraborty, A., Messias, J., Benevenuto, F., Ghosh, S., Niloy Ganguly, Gummadi, K. P.

Publikováno v: Scopus-Elsevier

Users of social media sites like Facebook and Twitter rely on crowdsourced content recommendation systems (e.g., Trending Topics) to retrieve important and useful information. Contents selected for recommendation indirectly give the initial users who

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a705fe628c7b3f465e46be3c9293c2db
http://arxiv.org/abs/1704.00139

Analyzing the dynamic evolution of hashtags on Twitter: a language-based approach

Autor: Landulfo Teixeira P. Cunha, E., Magno, G., Comarela, G., Almeida, V., Gonçalves, M.A., Benevenuto, F.

Publikováno v: Proceedings of the Workshop on Language in Social Media (LSM 2011), 58–65. Madison, Wisconsin: Omnipress
STARTPAGE=58–65;TITLE=Proceedings of the Workshop on Language in Social Media (LSM 2011)

Hashtags are used in Twitter to classify messages, propagate ideas and also to promote specific topics and people. In this paper, we present a linguistic-inspired study of how these tags are created, used and disseminated by the members of informatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7edd4574738ec3e32a1b19ecf9d215e1
https://hdl.handle.net/1887/61764