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Embassies burning: toward a near-real-time assessment of social media using geo-temporal dynamic network analytics.

, , , and . Soc. Netw. Anal. Min., 4 (1): 195 (2014)

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When is it biased?: assessing the representativeness of twitter's streaming API., , and . WWW (Companion Volume), page 555-556. ACM, (2014)Toward Relational Learning with Misinformation., , , and . SDM, page 711-719. SIAM, (2018)Feature Selection: A Data Perspective., , , , , , and . CoRR, (2016)Aggressive, Repetitive, Intentional, Visible, and Imbalanced: Refining Representations for Cyberbullying Classification., , and . ICWSM, page 808-819. AAAI Press, (2020)Pipeline for modeling causal beliefs from natural language., , and . ACL (demo), page 436-443. Association for Computational Linguistics, (2023)Organizational Artifacts of Code Development., , and . CoRR, (2021)Graph Embedding with Personalized Context Distribution., , , , , , , , and . WWW (Companion Volume), page 655-661. ACM / IW3C2, (2020)Exacerbating Algorithmic Bias through Fairness Attacks., , , and . AAAI, page 8930-8938. AAAI Press, (2021)Robust Conversational Agents against Imperceptible Toxicity Triggers., , , and . NAACL-HLT, page 2831-2847. Association for Computational Linguistics, (2022)Keyword Assisted Embedded Topic Model., , and . WSDM, page 372-380. ACM, (2022)