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Twitter and the development of an audience: those who stay on topic thrive!

, and . CHI, page 1515-1518. ACM, (2012)

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Support matching and satisfaction in an online breast cancer support community., , , and . CHI, page 1625-1634. ACM, (2014)New challenges in CSCL: towards adaptive script support., , , , , , , , , and 6 other author(s). ICLS (3), page 338-345. International Society of the Learning Sciences, (2008)A needs analysis for instructional support in LegSim., , , and . ICLS (3), page 53-54. International Society of the Learning Sciences, (2008)Using Comments for Predicting the Affective Response to Social Media Posts., , , and . ACII, page 1-8. IEEE, (2023)COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation., , , , , , , and . EMNLP, page 13258-13275. Association for Computational Linguistics, (2023)The contradiction of trust and uncertainty from the viewpoint of swift guanxi., , , and . Internet Res., 28 (3): 716-745 (2018)To stay or leave?: the relationship of emotional and informational support to commitment in online health support groups, , and . Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work - CSCW \textquotesingle12, page 833-842. ACM Press, (2012)COTA: Improving the Speed and Accuracy of Customer Support through Ranking and Deep Networks., , and . KDD, page 586-595. ACM, (2018)Plato Dialogue System: A Flexible Conversational AI Research Platform., , , , , and . CoRR, (2020)Making Conversational Structure Explicit: Identification of Initiation-response Pairs within Online Discussions., and . HLT-NAACL, page 673-676. The Association for Computational Linguistics, (2010)