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題名 More than Words in Medical Question-and-Answer Sites: A Content-Context Congruence Perspective
作者 彭志宏
Peng, Chih-Hung
Yin, Dezhi
Zhang, Han
貢獻者 資管系
關鍵詞 medical Q&A; answer helpfulness; user-generated content; content-context congruence; fit; concreteness; emotional intensity; construal level
日期 2020-09
上傳時間 26-五月-2021 10:42:52 (UTC+8)
摘要 Given the popularity and prevalence of medical question-and-answer (Q&A) services, it is increasingly important to understand what constitutes a helpful answer in the medical domain. Prior studies on user-generated content have examined the independent impacts of content and source characteristics on reader perception of the content`s value. In the setting of medical Q&A sites, we propose a novel content-context congruence perspective with a focus on the role of congruence between an answer’s content and the answer’s contextual cues. Specifically, we identify two types of contextual cues critical in this unique setting—the language attributes (i.e., concreteness and emotional intensity) of the question’s content, and the acuteness of the disease to which the question is related. Building on the priming literature and construal-level theory, we hypothesize that an answer will be perceived as more helpful if the language attributes of the answer’s content are congruent with those of the preceding question, and if they are congruent with the disease’s acuteness. Analyses of a unique data set from WebMD Answers provide empirical evidence for our theoretical model. This research deepens our understanding of readers’ value judgment of online medical information, demonstrates the importance of considering the congruence of content with contextual cues, and opens up exciting opportunities for future research to explore the role of content-context congruence in all varieties of user-generated content. Our findings also provide direct practical implications for knowledge contributors and Q&A sites.
關聯 Information Systems Research, Vol.31, No.3, pp.913-928
資料類型 article
DOI https://doi.org/10.1287/isre.2020.0923
dc.contributor 資管系
dc.creator (作者) 彭志宏
dc.creator (作者) Peng, Chih-Hung
dc.creator (作者) Yin, Dezhi
dc.creator (作者) Zhang, Han
dc.date (日期) 2020-09
dc.date.accessioned 26-五月-2021 10:42:52 (UTC+8)-
dc.date.available 26-五月-2021 10:42:52 (UTC+8)-
dc.date.issued (上傳時間) 26-五月-2021 10:42:52 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/135152-
dc.description.abstract (摘要) Given the popularity and prevalence of medical question-and-answer (Q&A) services, it is increasingly important to understand what constitutes a helpful answer in the medical domain. Prior studies on user-generated content have examined the independent impacts of content and source characteristics on reader perception of the content`s value. In the setting of medical Q&A sites, we propose a novel content-context congruence perspective with a focus on the role of congruence between an answer’s content and the answer’s contextual cues. Specifically, we identify two types of contextual cues critical in this unique setting—the language attributes (i.e., concreteness and emotional intensity) of the question’s content, and the acuteness of the disease to which the question is related. Building on the priming literature and construal-level theory, we hypothesize that an answer will be perceived as more helpful if the language attributes of the answer’s content are congruent with those of the preceding question, and if they are congruent with the disease’s acuteness. Analyses of a unique data set from WebMD Answers provide empirical evidence for our theoretical model. This research deepens our understanding of readers’ value judgment of online medical information, demonstrates the importance of considering the congruence of content with contextual cues, and opens up exciting opportunities for future research to explore the role of content-context congruence in all varieties of user-generated content. Our findings also provide direct practical implications for knowledge contributors and Q&A sites.
dc.format.extent 880335 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Information Systems Research, Vol.31, No.3, pp.913-928
dc.subject (關鍵詞) medical Q&A; answer helpfulness; user-generated content; content-context congruence; fit; concreteness; emotional intensity; construal level
dc.title (題名) More than Words in Medical Question-and-Answer Sites: A Content-Context Congruence Perspective
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1287/isre.2020.0923
dc.doi.uri (DOI) https://doi.org/10.1287/isre.2020.0923