Labeled Datasets for Research on Information Operations

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Abstract

Information operations (IO) on social media threaten democratic processes and public discourse. Developing effective detection methods requires large-scale labeled datasets, yet few such resources exist. We present labeled datasets covering 26 IO campaigns, combining platform-verified IO posts with over 13 million posts by 303,000 control accounts. The datasets enable researchers to study narratives, network interactions, and engagement strategies of coordinated accounts, and to develop and benchmark IO detection algorithms.

Citation

Seckin, O. C., Pote, M., Nwala, A. C., Yin, L., Luceri, L., Flammini, A., & Menczer, F. (2025). Labeled Datasets for Research on Information Operations. Proceedings of the International AAAI Conference on Web and Social Media, 19(1). https://doi.org/10.1609/icwsm.v19i1.35958

@article{seckin2025labeled,
  title     = {Labeled Datasets for Research on Information Operations},
  author    = {Seckin, Ozgur Can and Pote, Manita and Nwala, Alexander C. and Yin, Lake and Luceri, Luca and Flammini, Alessandro and Menczer, Filippo},
  journal   = {Proceedings of the International AAAI Conference on Web and Social Media},
  volume    = {19},
  number    = {1},
  year      = {2025},
  doi       = {10.1609/icwsm.v19i1.35958},
  url       = {https://doi.org/10.1609/icwsm.v19i1.35958}
}