Proceedings ArticleDOI
Twitter under crisis: can we trust what we RT?
Marcelo Mendoza,Barbara Poblete,Carlos Castillo +2 more
- pp 71-79
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TLDR
The behavior of Twitter users under an emergency situation is explored and it is shown that it is posible to detect rumors by using aggregate analysis on tweets, and that the propagation of tweets that correspond to rumors differs from tweets that spread news.Abstract:
In this article we explore the behavior of Twitter users under an emergency situation. In particular, we analyze the activity related to the 2010 earthquake in Chile and characterize Twitter in the hours and days following this disaster. Furthermore, we perform a preliminary study of certain social phenomenons, such as the dissemination of false rumors and confirmed news. We analyze how this information propagated through the Twitter network, with the purpose of assessing the reliability of Twitter as an information source under extreme circumstances. Our analysis shows that the propagation of tweets that correspond to rumors differs from tweets that spread news because rumors tend to be questioned more than news by the Twitter community. This result shows that it is posible to detect rumors by using aggregate analysis on tweets.read more
Citations
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The spread of true and false news online
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Information credibility on twitter
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Journal ArticleDOI
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Matteo Cinelli,Walter Quattrociocchi,Alessandro Galeazzi,Carlo Michele Valensise,Emanuele Brugnoli,Ana Lucia Schmidt,Paola Zola,Fabiana Zollo,Antonio Scala +8 more
TL;DR: This work addresses the diffusion of information about the COVID-19 with a massive data analysis on Twitter, Instagram, YouTube, Reddit and Gab, and identifies information spreading from questionable sources, finding different volumes of misinformation in each platform.
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Rumor has it: Identifying Misinformation in Microblogs
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Faking Sandy: characterizing and identifying fake images on Twitter during Hurricane Sandy
TL;DR: The role of Twitter, during Hurricane Sandy (2012) to spread fake images about the disaster was highlighted, and automated techniques can be used in identifying real images from fake images posted on Twitter.
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Proceedings ArticleDOI
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