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Who are the users of ChatGPT? Implications for the digital divide from web tracking data., , , , , and . CoRR, (2023)United States Politicians' Tone Became More Negative with 2016 Primary Campaigns., , , , and . CoRR, (2022)Entity-Centric Topic Extraction and Exploration: A Network-Based Approach., and . ECIR, volume 10772 of Lecture Notes in Computer Science, page 3-15. Springer, (2018)Breaking the News: Extracting the Sparse Citation Network Backbone of Online News Articles., and . ASONAM, page 274-279. ACM, (2015)Extracting Descriptions of Location Relations from Implicit Textual Networks., , and . GIR, page 1:1-1:9. ACM, (2017)$DeepNC$DeepNC: Deep Generative Network Completion., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (4): 1837-1852 (2022)TopExNet: Entity-Centric Network Topic Exploration in News Streams., , and . WSDM, page 798-801. ACM, (2019)Terms in Time and Times in Context: A Graph-based Term-Time Ranking Model, , , and . Proceedings of the 24th International Conference on World Wide Web, page 1375--1380. New York, NY, USA, ACM, (2015)Quotatives Indicate Decline in Objectivity in U.S. Political News., , , and . CoRR, (2022)We Have the Best Words: From the Web-scale Extraction and Attribution of Quotes to Analyzing Negativity in U.S. Political Language.. Text2Story@ECIR, volume 3117 of CEUR Workshop Proceedings, page 1. CEUR-WS.org, (2022)