A Large-Scale Longitudinal Multimodal Dataset of State-Backed Information Operations on Twitter

Authors

  • Xiaobo Guo Dartmouth College
  • Soroush Vosoughi Dartmouth College

Keywords:

Organizational and group behavior mediated by social media; interpersonal communication mediated by social media

Abstract

This paper proposes a large-scale and comprehensive dataset of 28 sub-datasets of state-backed tweets and accounts affiliated with 14 different countries, spanning more than 3 years, and a corresponding "negative" dataset of background tweets from the same time period and on similar topics. To our knowledge, this is the first dataset that contains both state-sponsored propaganda tweets and carefully collected corresponding negative tweet datasets for so many countries spanning such a long period of time.

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Published

2022-05-31

How to Cite

Guo, X., & Vosoughi, S. (2022). A Large-Scale Longitudinal Multimodal Dataset of State-Backed Information Operations on Twitter. Proceedings of the International AAAI Conference on Web and Social Media, 16(1), 1245-1250. Retrieved from https://ojs.aaai.org/index.php/ICWSM/article/view/19375