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The Role of Personality and Linguistic Patterns in Discriminating Between Fake News Spreaders and Fact Checkers.

, , , , and . NLDB, volume 12089 of Lecture Notes in Computer Science, page 181-192. Springer, (2020)

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USI-IR at IEST 2018: Sequence Modeling and Pseudo-Relevance Feedback for Implicit Emotion Detection., , and . WASSA@EMNLP, page 231-234. Association for Computational Linguistics, (2018)A Dataset for Research on Depression in Social Media., , and . UMAP, page 338-342. ACM, (2020)The impact of psycholinguistic patterns in discriminating between fake news spreaders and fact checkers., , , , , and . Data Knowl. Eng., (2022)Discovering Latent Depression Patterns in Online Social Media., , and . IIR, volume 2441 of CEUR Workshop Proceedings, page 13-16. CEUR-WS.org, (2019)A Survey of Computational Methods for Online Mental State Assessment on Social Media., , and . ACM Trans. Comput. Heal., 2 (2): 17:1-17:31 (2021)Predicting Relevant Conversation Turns for Improved Retrieval in Multi-Turn Conversational Search., , , and . TREC, volume 1250 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2019)Mental Disorders on Online Social Media Through the Lens of Language and Behaviour: Analysis and Visualisation., , and . CoRR, (2022)Anticipating Depression Based on Online Social Media Behaviour., , and . FQAS, volume 11529 of Lecture Notes in Computer Science, page 278-290. Springer, (2019)The Role of Personality and Linguistic Patterns in Discriminating Between Fake News Spreaders and Fact Checkers., , , , and . NLDB, volume 12089 of Lecture Notes in Computer Science, page 181-192. Springer, (2020)