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Conversational Flow in Oxford-style Debates.

, , , and . HLT-NAACL, page 136-141. The Association for Computational Linguistics, (2016)

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Loyalty in Online Communities., , , , and . CoRR, (2017)How opinions are received by online communities: a case study on amazon.com helpfulness votes., , , and . WWW, page 141-150. ACM, (2009)Thread With Caution: Proactively Helping Users Assess and Deescalate Tension in Their Online Discussions., , and . CoRR, (2022)Hedge Detection as a Lens on Framing in the GMO Debates: A Position Paper., , , , and . ExProM@ACL, page 70-79. Association for Computational Linguistics, (2012)Linguistic Models for Analyzing and Detecting Biased Language., , and . ACL (1), page 1650-1659. The Association for Computer Linguistics, (2013)It Takes Two to Lie: One to Lie, and One to Listen., , , , , and . ACL, page 3811-3854. Association for Computational Linguistics, (2020)Confidence Boost in Dyadic Online Teamwork: An Individual-Focused Perspective., , and . ICWSM, page 197-208. AAAI Press, (2020)Trouble on the Horizon: Forecasting the Derailment of Online Conversations as they Develop., and . EMNLP/IJCNLP (1), page 4742-4753. Association for Computational Linguistics, (2019)Echoes of power: Language effects and power differences in social interaction, , , and . CoRR, (2011)Echoes of power: language effects and power differences in social interaction., , , and . WWW, page 699-708. ACM, (2012)