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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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The impact of psycholinguistic patterns in discriminating between fake news spreaders and fact checkers., , , , , and . Data Knowl. Eng., (2022)Multimodal Fake News Detection with Textual, Visual and Semantic Information., , and . TDS, volume 12284 of Lecture Notes in Computer Science, page 30-38. Springer, (2020)On the Impact of Emotions on the Detection of False Information., , and . ISEEIE, page 277-282. ACM, (2021)Early Commenting Features for Emotional Reactions Prediction., , , and . SPIRE, volume 11147 of Lecture Notes in Computer Science, page 168-182. Springer, (2018)UPV-UMA at CheckThat! Lab: Verifying Arabic Claims using a Cross Lingual Approach., , , , , and . CLEF (Working Notes), volume 2380 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Towards Robust Online Sexism Detection: A Multi-Model Approach with BERT, XLM-RoBERTa, and DistilBERT for EXIST 2023 Tasks., , and . CLEF (Working Notes), volume 3497 of CEUR Workshop Proceedings, page 1000-1011. CEUR-WS.org, (2023)A Collection for Detecting Triggers of Sentiment Spikes., , and . SIGIR, page 1249-1252. ACM, (2017)Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection., , , , , , , , , and 5 other author(s). CLEF, volume 12260 of Lecture Notes in Computer Science, page 372-383. Springer, (2020)Opinion retrieval in Twitter using stylistic variations., and . SAC, page 1077-1079. ACM, (2016)Opinions in Federated Search: University of Lugano at TREC 2014 Federated Web Search Track., , and . TREC, volume 500-308 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2014)