YouNICon: YouTube’s CommuNIty of Conspiracy Videos

Authors

  • Shao Yi Liaw School of Computing and Information Systems, Singapore Management University, Singapore
  • Fan Huang Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington, USA
  • Fabricio Benevenuto Federal University of Minas Gerais Belo Horizonte, Brazil
  • Haewoon Kwak Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington, USA
  • Jisun An Luddy School of Informatics, Computing, and Engineering, Indiana University Bloomington, USA

DOI:

https://doi.org/10.1609/icwsm.v17i1.22218

Keywords:

, Credibility of online content, Text categorization; topic recognition; demographic/gender/age identification, Web and Social Media

Abstract

Conspiracy theories are widely propagated on social media. Among various social media services, YouTube is one of the most influential sources of news and entertainment. This paper seeks to develop a dataset, YOUNICON, to enable researchers to perform conspiracy theory detection as well as classification of videos with conspiracy theories into different topics. YOUNICON is a dataset with a large collection of videos from suspicious channels that were identified to contain conspiracy theories in a previous study. Overall, YOUNICON will enable researchers to study trends in conspiracy theories and understand how individuals can interact with the conspiracy theory producing community or channel. Our data is available at: https://doi.org/10.5281/zenodo.7466262.

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Published

2023-06-02

How to Cite

Yi Liaw, S., Huang, F., Benevenuto, F., Kwak, H., & An, J. (2023). YouNICon: YouTube’s CommuNIty of Conspiracy Videos. Proceedings of the International AAAI Conference on Web and Social Media, 17(1), 1102-1111. https://doi.org/10.1609/icwsm.v17i1.22218

Issue

Vol. 17 (2023): Proceedings of the Seventeenth International AAAI Conference on Web and Social Media

Section

Dataset Papers