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Investigating Scientific Misinformation Using Different Modes of Learning.

, , , , , and . SDU@AAAI, volume 3656 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)

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Inferring #MeToo Experience Tweets using Classic and Neural Models., , , , and . DATA, page 107-117. SCITEPRESS, (2022)A first look at COVID-19 information and misinformation sharing on Twitter., , , , , , , , , and . CoRR, (2020)Investigating Scientific Misinformation Using Different Modes of Learning., , , , , and . SDU@AAAI, volume 3656 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Blending Noisy Social Media Signals with Traditional Movement Variables to Predict Forced Migration., , , , , , , , and . KDD, page 1975-1983. ACM, (2019)Identifying High-Quality Training Data for Misinformation Detection., , , , , , and . DATA, page 64-76. SCITEPRESS, (2023)DeMis: Data-Efficient Misinformation Detection Using Reinforcement Learning., and . ECML/PKDD (2), volume 13714 of Lecture Notes in Computer Science, page 224-240. Springer, (2022)Knowledge Enhanced Masked Language Model for Stance Detection., and . NAACL-HLT, page 4725-4735. Association for Computational Linguistics, (2021)Towards Automatic Comparison of Data Privacy Documents: A Preliminary Experiment on GDPR-like Laws., and . CoRR, (2021)PoliBERTweet: A Pre-trained Language Model for Analyzing Political Content on Twitter., and . LREC, page 7360-7367. European Language Resources Association, (2022)Understanding knowledge areas in curriculum through text mining from course materials., , , and . TALE, page 161-168. IEEE, (2016)