Investigating the effect of social media fake news on consumer behavior: an empirical study with multiple moderations

被引:3
|
作者
Hossain, Mohammad Alamgir [1 ,2 ]
Sabani, Alvedi [3 ,4 ]
Bandyopadhyay, Argho [3 ,4 ]
Raman, Ramakrishnan [5 ]
Goyal, D. P. [6 ]
Dwivedi, Yogesh K. [7 ,8 ]
机构
[1] RMIT Univ, Sch Accounting Informat Syst & Supply Chain, Melbourne, Australia
[2] RMIT Univ, RMIT Business & Human Rights BHRIGHT Ctr, Melbourne, Australia
[3] RMIT Univ, Grad Sch Business & Law, Melbourne, Australia
[4] RMIT Univ, Ctr Org & Social Change COSC, Melbourne, Australia
[5] Pune & Symbiosis Int Deemed Univ, Symbiosis Inst Business Management, Pune, India
[6] Indian Inst Management Shillong, Dept Informat Syst, Shillong, India
[7] Swansea Univ, Sch Management, Emerging Markets Res Ctr EMaRC, Swansea, Wales
[8] Pune & Symbiosis Int Deemed Univ, Symbiosis Inst Business Management, Dept Management, Pune, Maharashtra, India
关键词
Fake news; consumer behavior; information asymmetry; consumer trust; signal credibility; brand bias; CONFIRMATION BIAS; SIGNALS; INFORMATION; QUALITY; LEMONS; CREDIBILITY; INTENTIONS; EXPERIENCE; IMPACT; MARKET;
D O I
10.1080/0965254X.2023.2253824
中图分类号
F [经济];
学科分类号
02 ;
摘要
The severity and prevalence of fake news on social media (SM) are growing, which leave detrimental effects to businesses. Therefore, understanding consumer behavior when they are exposed to SM fake news is important. From the perspective of information asymmetry and signaling theory, this study derives that the negative effect of fake news on consumer trust is further reinforced in the presence of information asymmetry. Conversely, vendors' signal credibility and consumers' perceived vendor reputation diminish the effect of SM fake news on consumer trust. Our research model is empirically validated via an online survey. The results support these three moderation effects. In addition, the results indicate that consumers' brand bias is a direct predictor of consumer purchase behavior. The findings suggest development of strategies for marketing managers and executives to mitigate the impact of SM fake news by signaling techniques. Further implications for research and practice along with future research opportunities are offered.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] Mass Communication on Social Media The Case of Fake News
    Haug, Maximilian
    PROCEEDINGS OF THE 2020 COMPUTERS AND PEOPLE RESEARCH CONFERENCE, SIGMIS-CPR 2020, 2020, : 169 - 169
  • [42] Fake News Detection in Social Media: A Systematic Review
    Medeiros, Francisco D. C.
    Braga, Reinaldo Bezerra
    PROCEEDINGS OF 16TH BRAZILIAN SYMPOSIUM ON INFORMATION SYSTEMS ON DIGITAL TRANSFORMATION AND INNOVATION, SBSI 2020, 2020,
  • [43] Fake news, social media and marketing: A systematic review
    Di Domenico, Giandomenico
    Sit, Jason
    Ishizaka, Alessio
    Nunan, Daniel
    JOURNAL OF BUSINESS RESEARCH, 2021, 124 : 329 - 341
  • [44] Fake news, disinformation and misinformation in social media: a review
    Aimeur, Esma
    Amri, Sabrine
    Brassard, Gilles
    SOCIAL NETWORK ANALYSIS AND MINING, 2023, 13 (01)
  • [45] Fake news, disinformation and misinformation in social media: a review
    Esma Aïmeur
    Sabrine Amri
    Gilles Brassard
    Social Network Analysis and Mining, 13
  • [46] Fake news: Acceptance by demographics and culture on social media
    Rampersad, Giselle
    Althiyabi, Turki
    JOURNAL OF INFORMATION TECHNOLOGY & POLITICS, 2020, 17 (01) : 1 - 11
  • [47] ?Fake News? in Social Networks: Media Practices of Students
    Barinov, Dmitry N.
    Nesina, Victoria V.
    THEORETICAL AND PRACTICAL ISSUES OF JOURNALISM, 2023, 12 (01): : 5 - 23
  • [48] The effect of social approval on perceptions following social media message sharing applied to fake news
    Walther, Joseph B.
    Lew, Zijian
    Edwards, America L.
    Quick, Justice
    JOURNAL OF COMMUNICATION, 2022, 72 (06) : 661 - 674
  • [49] THE STUDY OF MORE SUSCEPTIBLE TO FAKE NEWS MAKERS WITH INFLUENCING FACTORS IN SOCIAL MEDIA
    Changpo, Chiang
    Huang, Cheng-Ta
    Lai, Yung-Lien
    Wang, Shiuh-Jeng
    2024 5TH INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKS AND INTERNET OF THINGS, CNIOT 2024, 2024, : 496 - 501
  • [50] A Study of Cantonese Covid-19 Fake News Detection on Social Media
    Wang, Ziwei
    Zhao, Minzhu
    Chen, Yu
    Song, Yunya
    Lan, Liang
    2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2021, : 6052 - 6054