Title

Analyzing and measuring the spread of fake content on twitter during high impact events

Summary

This paper introduces TweetCred, a semi-supervised ranking model that assigns real-time credibility scores to tweets, implemented as a browser plug-in. Over three months, TweetCred was used by 1,127 Twitter users, scoring 5.4 million tweets and demonstrating its effectiveness, response time, and usability. During sudden crisis events, spreading spam, rumors, and fake content on Twitter diminishes the credibility of information shared on the platform.

َAuthor

Gupta A., Lamba, H., Kumaraguru, P., & Joshi, A

Year

2013

َThematic Area

Communication Studies

Topic

Misinformation, disinformation, and malinformation

Country

Global

Region

Global

Misinformation Combatting

Misinformation Diffusion

Place Published

Cham

Publisher

Springer

Journal

DOI

https://doi.org/10.1007/978-3-319-13734-6_16

URL

https://doi.org/10.1007/978-3-319-13734-6_16

APA 7th End Text Citation

Gupta, A., Kumaraguru, P., Castillo, C., Meier, P. (2014). TweetCred: Real-Time Credibility Assessment of Content on Twitter. In: Aiello, L.M., McFarland, D. (eds) Social Informatics. SocInfo 2014. Lecture Notes in Computer Science, vol 8851. Springer, Cham. https://doi.org/10.1007/978-3-319-13734-6_16