Detection of COVID-19-Related Conspiracy Theories in Tweets using Transformer-Based Models and Node Embedding Techniques

Youri Peskine, Paolo Papotti, Raphaël Troncy. Detection of COVID-19-Related Conspiracy Theories in Tweets using Transformer-Based Models and Node Embedding Techniques. In Steven Hicks, Alba García Seco de Herrera, Johannes Langguth, Andreas Lommatzsch, Stelios Andreadis, Minh-Son Dao, Pierre-Etienne Martin, Ali Hürriyetoglu, Vajira Thambawita, Tor-Arne S. Nordmo, Romain Vuillemot, Martha A. Larson, editors, Working Notes Proceedings of the MediaEval 2022 Workshop, Bergen, Norway and Online, 12-13 January 2023. Volume 3583 of CEUR Workshop Proceedings, CEUR-WS.org, 2022. [doi]

@inproceedings{PeskinePT22,
  title = {Detection of COVID-19-Related Conspiracy Theories in Tweets using Transformer-Based Models and Node Embedding Techniques},
  author = {Youri Peskine and Paolo Papotti and Raphaël Troncy},
  year = {2022},
  url = {https://ceur-ws.org/Vol-3583/paper46.pdf},
  researchr = {https://researchr.org/publication/PeskinePT22},
  cites = {0},
  citedby = {0},
  booktitle = {Working Notes Proceedings of the MediaEval 2022 Workshop, Bergen, Norway and Online, 12-13 January 2023},
  editor = {Steven Hicks and Alba García Seco de Herrera and Johannes Langguth and Andreas Lommatzsch and Stelios Andreadis and Minh-Son Dao and Pierre-Etienne Martin and Ali Hürriyetoglu and Vajira Thambawita and Tor-Arne S. Nordmo and Romain Vuillemot and Martha A. Larson},
  volume = {3583},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}