Speaker:

Filippo Menczer - Professor of Informatics and Computer Science and Director of the Center for Complex Networks and Systems Research, Indiana University.

Talk Abstract:

As social media become major channels for the diffusion of news and information, they are also increasingly attractive and targeted for abuse and manipulation. This talk overviews ongoing network analytics, data mining, and modeling efforts to understand the spread of misinformation online and offline. I present machine learning methods to detect astroturf and social bots, and outline initial steps toward computational fact-checking, as well as theoretical models to study how truthful and truthy facts compete for our collective attention. These efforts will be framed by a case study in which, ironically, our own research became the target of a coordinated disinformation campaign. Joint work with many members and collaborators of the Center for Complex Networks and Systems Research and the Indiana University Network Science Institute. This research is supported by the National Science Foundation, McDonnell Foundation, and DARPA. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of these funding agencies.

Livestream:

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