Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case Study

Alexander Shevtsov, Christos Tzagkarakis, Despoina Antonakaki, Sotiris Ioannidis. Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case Study. In Ceren Budak, Meeyoung Cha, Daniele Quercia, editors, Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, ICWSM 2022, Atlanta, Georgia, USA, June 6-9, 2022. pages 956-967, AAAI Press, 2022. [doi]

@inproceedings{ShevtsovTAI22,
  title = {Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case Study},
  author = {Alexander Shevtsov and Christos Tzagkarakis and Despoina Antonakaki and Sotiris Ioannidis},
  year = {2022},
  url = {https://ojs.aaai.org/index.php/ICWSM/article/view/19349},
  researchr = {https://researchr.org/publication/ShevtsovTAI22},
  cites = {0},
  citedby = {0},
  pages = {956-967},
  booktitle = {Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, ICWSM 2022, Atlanta, Georgia, USA, June 6-9, 2022},
  editor = {Ceren Budak and Meeyoung Cha and Daniele Quercia},
  publisher = {AAAI Press},
  isbn = {978-1-57735-875-6},
}