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Leveraging media repertoires to create new social ties., , и . UbiComp, стр. 798-799. ACM, (2012)Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages., , , , , , , , и . CoRR, (2023)NeuroTPR: A neuro-net toponym recognition model for extracting locations from social media messages., , и . Trans. GIS, 24 (3): 719-735 (2020)Girls Rule, Boys Drool: Extracting Semantic and Affective Stereotypes from Twitter., , и . CSCW, стр. 1362-1374. ACM, (2017)An approach to selecting keywords to track on twitter during a disaster., , и . ISCRAM, ISCRAM Association, (2014)Exploring Patterns of Identity Usage in Tweets: A New Problem, Solution and Case Study., , и . WWW, стр. 401-412. ACM, (2016)Polarized, Together: Comparing Partisan Support for Trump's Tweets Using Survey and Platform-Based Measures., , , , и . ICWSM, стр. 290-301. AAAI Press, (2019)A Bayesian Graphical Model to Discover Latent Events from Twitter., , , и . ICWSM, стр. 503-512. AAAI Press, (2015)"Voters of the Year": 19 Voters Who Were Unintentional Election Poll Sensors on Twitter., , , , , и . ICWSM, стр. 544-547. AAAI Press, (2017)Friend or Foe: A Review and Synthesis of Computational Models of the Identity Labeling Problem., и . CoRR, (2021)