- Tanushree Mitra, Virginia Polytechnic Institute and State University, Blacksburg
Modern online social networks, such as Facebook, Twitter, and Reddit, are neutral toward the credibility of information. Simply put, they transmit both credible and less credible information. In this talk the speaker will focus on addressing the specific challenge of assessing the credibility of social media information in the absence of traditional gatekeepers. The speaker will (1) present the development of the first large-scale, systematic social media credibility corpus, called CREDBANK, a corpus comprising 66M tweets nested in 1,377 real-world events; (2) show that temporal and linguistic regularities can differentiate credible and noncredible information by discussing the analysis of CREDBANK; and (3) conclude with a preview of a new line of work addressing additional challenges that arise due to lack of information gatekeeping in social computing systems.
About the Speaker:
Tanushree Mitra is an assistant professor of computer science at Virginia Tech, where she leads the Social Computing research group. She and her students study and build large-scale social computing systems using a range of interdisciplinary methods from the fields of data mining, machine learning, natural language processing, and human computer interaction. Dr. Mitra is particularly interested in addressing socially relevant problems which are created by social computing technologies and which are often amplified by participation in online social platforms.