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HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks., , , and . ICWSM, page 933-942. AAAI Press, (2021)Domain Adaptation with Adversarial Training and Graph Embeddings., , and . ACL (1), page 1077-1087. Association for Computational Linguistics, (2018)ArabGend: Gender Analysis and Inference on Arabic Twitter., , and . W-NUT@COLING, page 124-135. Association for Computational Linguistics, (2022)The CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News., , , , , , , , , and 4 other author(s). ECIR (2), volume 12657 of Lecture Notes in Computer Science, page 639-649. Springer, (2021)The CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection., , , , , , , , , and 8 other author(s). ECIR (2), volume 13186 of Lecture Notes in Computer Science, page 416-428. Springer, (2022)Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document., , , , , and . EMNLP (Findings), page 2069-2080. Association for Computational Linguistics, (2022)Overview of the CLEF-2022 CheckThat! Lab Task 1 on Identifying Relevant Claims in Tweets., , , , , , , , , and 3 other author(s). CLEF (Working Notes), volume 3180 of CEUR Workshop Proceedings, page 368-392. CEUR-WS.org, (2022)A Survey on Multimodal Disinformation Detection., , , , , , , , and . COLING, page 6625-6643. International Committee on Computational Linguistics, (2022)Bangla Text Classification using Transformers., , and . CoRR, (2020)Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document, , , and . (2021)cite arxiv:2109.07410Comment: detecting previously fact-checked claims, fact-checking, disinformation, fake news, social media, political debates.