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User Participation in Cryptocurrency Derivative Markets.

, , , , and . AFT, volume 282 of LIPIcs, page 8:1-8:24. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2023)

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Friends with Motives: Using Text to Infer Influence on SCOTUS., , and . EMNLP, page 1724-1733. The Association for Computational Linguistics, (2016)Social capital and growth, and . Journal of Monetary Economics, 50 (1): 167--193 (January 2003)The Utility of Text: The Case of Amicus Briefs and the Supreme Court., , and . AAAI, page 2311-2317. AAAI Press, (2015)A Utility Model of Authors in the Scientific Community., , and . EMNLP, page 1510-1519. The Association for Computational Linguistics, (2015)Inside insider trading: patterns & discoveries from a large scale exploratory analysis., , , , , and . ASONAM, page 797-804. ACM, (2013)The Utility of Text: The Case of Amicus Briefs and the Supreme Court., , and . CoRR, (2014)Towards Understanding Cryptocurrency Derivatives: A Case Study of BitMEX., , , , , and . WWW, page 45-57. ACM / IW3C2, (2021)From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series., , , and . ICWSM, The AAAI Press, (2010)Stranger Danger? Investor Behavior and Incentives on Cryptocurrency Copy-Trading Platforms., , , , and . CHI, page 355:1-355:20. ACM, (2024)Dynamic Language Models for Streaming Text., , , , and . Trans. Assoc. Comput. Linguistics, (2014)