Computational Propaganda Theory and Bot Detection System: Critical Literature Review

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Abstract

According to the classical definition, propaganda is the management of collective attitudes by manipulation of significant symbols. However, this definition has changed to computational propaganda — the way manipulation takes place in the digital medium. Computational propaganda is the use of algorithms, automation, and human curation to purposefully distribute misleading information over social media networks to manipulate public opinion, for political polarization, etc. Digital media platforms have introduced new modalities of propaganda such as the use of social bots and state-organized troll armies for social astroturfing to simulate public support or opposition towards a particular topic. This paper reviews the theoretical foundations of computational propaganda and surveys existing bot detection systems developed to counter these threats.

Citation

Pote, M. (2024). Computational Propaganda Theory and Bot Detection System: Critical Literature Review. arXiv preprint arXiv:2404.05240.

@article{pote2024computational,
  title   = {Computational Propaganda Theory and Bot Detection System: Critical Literature Review},
  author  = {Pote, Manita},
  journal = {arXiv preprint arXiv:2404.05240},
  year    = {2024},
  url     = {https://arxiv.org/abs/2404.05240}
}