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TitleSeeing is not always believing: an exploratory study of clickbait in WeChat
Creator彭志宏
Peng, Chih-Hung
Zhang, Wenping
Du, Wei
Bian, Yiyang
Jiang, Qiqi
Contributor資管系
Key WordsClickbait ; Rhetoric ; Visit traffic ; Online publisher ; WeChat
Date2020-05
Date Issued22-Jan-2021 09:21:51 (UTC+8)
SummaryPurpose – The purpose of this study is to unpack the antecedents and consequences of clickbait prevalence in online media at two different levels, namely, (1) Headline-level: what characteristics of clickbait headlines attract user clicks and (2) Publisher-level: what happens to publishers who create clickbait on a prolonged basis. Design/methodology/approach – To test the proposed conjectures, the authors collected longitudinal data in collaboration with a leading company that operates more than 500 WeChat official accounts in China. This study proposed a text mining framework to extract and quantify clickbait rhetorical features (i.e. hyperbole, insinuation, puzzle, and visual rhetoric). Econometric analysis was employed for empirical validation. Findings – The findings revealed that (1) hyperbole, insinuation, and visual rhetoric entice users to click the baited headlines, (2) there is an inverted U-shaped relationship between the number of clickbait headlines posted by a publisher and its visit traffic, and (3) this non-linear relationship is moderated by the publisher’s age. Research limitations/implications – This research contributes to current literature on clickbait detection and clickbait consequences. Future studies can design more sophisticated methods for extracting rhetorical characteristics and implement in different languages. Practical implications – The findings could aid online media publishers to design attractive headlines and develop clickbait strategies to avoid user churn, and help managers enact appropriate regulations and policies to control clickbait prevalence. Originality/value – The authors propose a novel text mining framework to quantify rhetoric embedded in clickbait. This study empirically investigates antecedents and consequences of clickbait prevalence through an exploratory study of WeChat in China.
RelationInternet Research, Vol.30, No.3, pp.1043-1058
Typearticle
DOI https://doi.org/10.1108/INTR-09-2019-0373
dc.contributor 資管系
dc.creator (作者) 彭志宏
dc.creator (作者) Peng, Chih-Hung
dc.creator (作者) Zhang, Wenping
dc.creator (作者) Du, Wei
dc.creator (作者) Bian, Yiyang
dc.creator (作者) Jiang, Qiqi
dc.date (日期) 2020-05
dc.date.accessioned 22-Jan-2021 09:21:51 (UTC+8)-
dc.date.available 22-Jan-2021 09:21:51 (UTC+8)-
dc.date.issued (上傳時間) 22-Jan-2021 09:21:51 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/133672-
dc.description.abstract (摘要) Purpose – The purpose of this study is to unpack the antecedents and consequences of clickbait prevalence in online media at two different levels, namely, (1) Headline-level: what characteristics of clickbait headlines attract user clicks and (2) Publisher-level: what happens to publishers who create clickbait on a prolonged basis. Design/methodology/approach – To test the proposed conjectures, the authors collected longitudinal data in collaboration with a leading company that operates more than 500 WeChat official accounts in China. This study proposed a text mining framework to extract and quantify clickbait rhetorical features (i.e. hyperbole, insinuation, puzzle, and visual rhetoric). Econometric analysis was employed for empirical validation. Findings – The findings revealed that (1) hyperbole, insinuation, and visual rhetoric entice users to click the baited headlines, (2) there is an inverted U-shaped relationship between the number of clickbait headlines posted by a publisher and its visit traffic, and (3) this non-linear relationship is moderated by the publisher’s age. Research limitations/implications – This research contributes to current literature on clickbait detection and clickbait consequences. Future studies can design more sophisticated methods for extracting rhetorical characteristics and implement in different languages. Practical implications – The findings could aid online media publishers to design attractive headlines and develop clickbait strategies to avoid user churn, and help managers enact appropriate regulations and policies to control clickbait prevalence. Originality/value – The authors propose a novel text mining framework to quantify rhetoric embedded in clickbait. This study empirically investigates antecedents and consequences of clickbait prevalence through an exploratory study of WeChat in China.
dc.format.extent 173764 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Internet Research, Vol.30, No.3, pp.1043-1058
dc.subject (關鍵詞) Clickbait ; Rhetoric ; Visit traffic ; Online publisher ; WeChat
dc.title (題名) Seeing is not always believing: an exploratory study of clickbait in WeChat
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1108/INTR-09-2019-0373
dc.doi.uri (DOI) https://doi.org/10.1108/INTR-09-2019-0373