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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- 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.
- 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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- 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.
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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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