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Automatically Characterizing Targeted Information Operations Through Biases Present in Discourse on Twitter.

, , , , and . ICSC, page 82-83. IEEE, (2021)

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Worldwide Influenza Surveillance through Twitter., , , and . AAAI Workshop: WWW and Public Health Intelligence, volume WS-15-15 of AAAI Technical Report, AAAI Press, (2015)Extracting social values and group identities from social media text data.. MMSP, page 232-237. IEEE, (2012)Validating Social Media Monitoring: Statistical Pitfalls and Opportunities from Public Opinion., , and . SBP-BRiMS, volume 12268 of Lecture Notes in Computer Science, page 65-74. Springer, (2020)Inductive detection of Influence Operations via Graph Learning., , and . CoRR, (2023)A Mathematical Formalization of Fuzzy Trace Theory., and . CogSci, cognitivesciencesociety.org, (2014)How Does Twitter User Behavior Vary Across Demographic Groups?, , , and . NLP+CSS@ACL, page 83-89. Association for Computational Linguistics, (2017)Recognizing Images of Eating Disorders in Social Media., , , , , , , and . SMM4H@AMIA, volume 1996 of CEUR Workshop Proceedings, page 42. CEUR-WS.org, (2017)The Twitter Social Mobility Index: Measuring Social Distancing Practices from Geolocated Tweets., , and . CoRR, (2020)The Emergence and Collapse of Knowledge Boundaries., and . IEEE Trans. Engineering Management, 64 (3): 337-350 (2017)Does Causal Coherence Predict Online Spread of Social Media?, , and . SBP-BRiMS, volume 11549 of Lecture Notes in Computer Science, page 184-193. Springer, (2019)