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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)

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Multimodal Multi-image Fake News Detection., , and . DSAA, page 647-654. IEEE, (2020)PRHLT-UPV at SemEval-2020 Task 8: Study of Multimodal Techniques for Memes Analysis., , and . SemEval@COLING, page 908-915. International Committee for Computational Linguistics, (2020)Emotional Influence Prediction of News Posts., , , and . ICWSM, page 592-595. AAAI Press, (2018)A User-Centered Evaluation of a Web Based Patent Classification Tool., , , and . MindTheGap@iConference, volume 1131 of CEUR Workshop Proceedings, page 6-11. CEUR-WS.org, (2014)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)Emerging Sentiment Language Model for Emotion Detection., , , and . CLiC-it, volume 2006 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Sentiment Propagation for Predicting Reputation Polarity., , , and . ECIR, volume 10193 of Lecture Notes in Computer Science, page 226-238. (2017)Report on the CLEF-IP 2013 Experiments: Multilayer Collection Selection on Topically Organized Patents., , , and . CLEF (Working Notes), volume 1179 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)Leveraging Emotional Signals for Credibility Detection., , and . SIGIR, page 877-880. ACM, (2019)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)