Analyzing COVID-Related Social Discourse on Twitter using Emotion, Sentiment, Political Bias, Stance, Veracity and Conspiracy Theories.

@inproceedings{peskine-2023-analyzing, author = {Youri Peskine and Rapha\"{e}l Troncy and Paolo Papotti}, editor = {Ying Ding and Jie Tang and Juan F. Sequeda and Lora Aroyo and Carlos Castillo and Geert-Jan Houben}, title = {{Analyzing COVID-Related Social Discourse on Twitter using Emotion, Sentiment, Political Bias, Stance, Veracity and Conspiracy Theories}}, booktitle = {{Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}}, pages = {688--693}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3543873.3587622}, doi = {https://doi.org/10.1145/3543873.3587622} }