More than Words in Medical Question-and-Answer Sites: A Content-Context Congruence Perspective
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DOI: 10.1287/isre.2020.0923
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- Hakkyun Kim & Akshay R. Rao & Angela Y. Lee, 2009. "It's Time to Vote: The Effect of Matching Message Orientation and Temporal Frame on Political Persuasion," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(6), pages 877-889, April.
- Sam Ransbotham & Nicholas H. Lurie & Hongju Liu, 2019. "Creation and Consumption of Mobile Word of Mouth: How Are Mobile Reviews Different?," Marketing Science, INFORMS, vol. 38(5), pages 773-792, September.
- Soojung Kim & Sanghee Oh, 2009. "Users' relevance criteria for evaluating answers in a social Q&A site," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(4), pages 716-727, April.
- Miguel A. Ferreira & Massimo Massa & Pedro Matos, 2010. "Shareholders at the Gate? Institutional Investors and Cross-Border Mergers and Acquisitions," The Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 601-644, February.
- Ritu Agarwal & Guodong (Gordon) Gao & Catherine DesRoches & Ashish K. Jha, 2010. "Research Commentary ---The Digital Transformation of Healthcare: Current Status and the Road Ahead," Information Systems Research, INFORMS, vol. 21(4), pages 796-809, December.
- Quentin Jones & Gilad Ravid & Sheizaf Rafaeli, 2004. "Information Overload and the Message Dynamics of Online Interaction Spaces: A Theoretical Model and Empirical Exploration," Information Systems Research, INFORMS, vol. 15(2), pages 194-210, June.
- M. Lourdes Sosa, 2009. "Application-Specific R& D Capabilities and the Advantage of Incumbents: Evidence from the Anticancer Drug Market," Management Science, INFORMS, vol. 55(8), pages 1409-1422, August.
- Chris Forman & Anindya Ghose & Batia Wiesenfeld, 2008. "Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets," Information Systems Research, INFORMS, vol. 19(3), pages 291-313, September.
- Jie Lou & Yulin Fang & Kai H. Lim & Jerry Zeyu Peng, 2013. "Contributing high quantity and quality knowledge to online Q&A communities," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 356-371, February.
- Jie Lou & Yulin Fang & Kai H. Lim & Jerry Zeyu Peng, 2013. "Contributing high quantity and quality knowledge to online Q&A communities," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(2), pages 356-371, February.
- Dezhi Yin & Sabyasachi Mitra & Han Zhang, 2016. "Research Note—When Do Consumers Value Positive vs. Negative Reviews? An Empirical Investigation of Confirmation Bias in Online Word of Mouth," Information Systems Research, INFORMS, vol. 27(1), pages 131-144, March.
- Freling, Traci H. & Vincent, Leslie H. & Henard, David H., 2014. "When not to accentuate the positive: Re-examining valence effects in attribute framing," Organizational Behavior and Human Decision Processes, Elsevier, vol. 124(2), pages 95-109.
- Robert G. Fichman & Rajiv Kohli & Ranjani Krishnan, 2011. "Editorial Overview ---The Role of Information Systems in Healthcare: Current Research and Future Trends," Information Systems Research, INFORMS, vol. 22(3), pages 419-428, September.
- Yan Chen & Teck‐Hua Ho & Yong‐Mi Kim, 2010. "Knowledge Market Design: A Field Experiment at Google Answers," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 12(4), pages 641-664, August.
- Erdem, S. Altan & Harrison-Walker, L. Jean, 2006. "The role of the Internet in physician-patient relationships: The issue of trust," Business Horizons, Elsevier, vol. 49(5), pages 387-393.
- Benjamin Edelman, 2012. "Earnings And Ratings At Google Answers," Economic Inquiry, Western Economic Association International, vol. 50(2), pages 309-320, April.
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- Yi Yang & Kunpeng Zhang & Yangyang Fan, 2023. "sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics," Information Systems Research, INFORMS, vol. 34(1), pages 137-156, March.
- Moonkyoung Jang & Seongcheol Kim, 2024. "Key traits of top answerers on Korean Social Q&A platforms: insights into user performance and entrepreneurial potential," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
- Dezhi Yin & Triparna de Vreede & Logan M. Steele & Gert-Jan de Vreede, 2023. "Decide Now or Later: Making Sense of Incoherence Across Online Reviews," Information Systems Research, INFORMS, vol. 34(3), pages 1211-1227, September.
- Shuqair, Saleh & Filieri, Raffaele & Viglia, Giampaolo & Mattila, Anna S. & Costa Pinto, Diego, 2024. "Leveraging online selling through social media influencers," Journal of Business Research, Elsevier, vol. 171(C).
- Jingchuan Pu & Yang Liu & Yuan Chen & Liangfei Qiu & Hsing Kenneth Cheng, 2022. "What Questions Are You Inclined to Answer? Effects of Hierarchy in Corporate Q&A Communities," Information Systems Research, INFORMS, vol. 33(1), pages 244-264, March.
- Zhang, Xing & Wang, Xinyue & Wang, Durong & Xiao, Quan & Deng, Zhaohua, 2024. "How the linguistic style of medical crowdfunding charitable appeal influences individuals' donations," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
- Kadić-Maglajlić, Selma & Lages, Cristiana R. & Pantano, Eleonora, 2024. "No time to lie: Examining the identity of pro-vaccination and anti-vaccination supporters through user-generated content," Social Science & Medicine, Elsevier, vol. 347(C).
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Keywords
medical Q&A; answer helpfulness; user-generated content; content-context congruence; fit; concreteness; emotional intensity; construal level;All these keywords.
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