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Exploring Sentiment in Social Media: Bootstrapping Subjectivity Clues from Multilingual Twitter Streams.

, , and . ACL (2), page 505-510. The Association for Computer Linguistics, (2013)

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Explaining and predicting human behavior and social dynamics in simulated virtual worlds: reproducibility, generalizability, and robustness of causal discovery methods., , , , , , , , and . Comput. Math. Organ. Theory, 29 (1): 220-241 (March 2023)CrystalBall: A Visual Analytic System for Future Event Discovery and Analysis from Social Media Data., , , , and . VAST, page 25-35. IEEE Computer Society, (2017)Towards Trustworthy Deception Detection: Benchmarking Model Robustness across Domains, Modalities, and Languages., , , , and . CoRR, (2021)Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking., , , , and . EMNLP, page 2931-2937. Association for Computational Linguistics, (2017)Inferring Latent User Properties from Texts Published in Social Media., , , and . AAAI, page 4296-4297. AAAI Press, (2015)Explaining Multimodal Deceptive News Prediction Models., , , , and . ICWSM, page 659-662. AAAI Press, (2019)Propagation from Deceptive News Sources: Who Shares, How Much, How Evenly, and How Quickly?, , and . CoRR, (2018)Understanding Roles of Social Media in Academic Engagement and Satisfaction for Graduate Students., , and . CHI Extended Abstracts, page 1215-1221. ACM, (2016)Misleading or Falsification: Inferring Deceptive Strategies and Types in Online News and Social Media., and . WWW (Companion Volume), page 575-583. ACM, (2018)Evaluating Neural Model Robustness for Machine Comprehension., , and . EACL, page 2470-2481. Association for Computational Linguistics, (2021)