Social media sentiment polarization and its impact on product adoption

被引:3
|
作者
Zhao, Ping [1 ,2 ]
Ma, Zhenfeng [2 ,3 ]
Gill, Tripat [1 ]
Ranaweera, Chatura [1 ]
机构
[1] Wilfrid Laurier Univ, Lazaridis Sch Business & Econ, 75 Univ Ave West, Waterloo, ON N2L 3C5, Canada
[2] Wilfrid Laurier Univ, Lazaridis Sch Business & Econ, Waterloo, ON, Canada
[3] Jiangnan Univ, Sch Business, 1800 Lihu Ave, Wuxi 214122, Jiangsu, Peoples R China
关键词
Electronic word of mouth; Sentiment polarization; Ambivalence; New product adoption; WORD-OF-MOUTH; AMBIVALENCE; CONSENSUS;
D O I
10.1007/s11002-023-09664-9
中图分类号
F [经济];
学科分类号
02 ;
摘要
Prior marketing research on eWOM has focused on the effect of overall sentiment (valence) of online conversation on product or brand performance, whereas little research has examined the impact of sentiment polarization, that is, the degree to which positive and negative sentiments are simultaneously strong. Through a combination of experimental study and quantitative modeling of archival social media data, the present study examined the impact of eWOM polarization on consumer new product adoption. Our experimental study shows that eWOM polarization increased consumer attitudinal ambivalence, which in turn decreased new product adoption intention. In our quantitative modeling study, we developed a measure for quantifying eWOM polarization on social media, and estimated its impact on sales of video game consoles. The result replicated the negative impact of eWOM polarization and further showed that the negative impact is more pronounced at the early (vs. later) stage of product life cycle.
引用
收藏
页码:497 / 512
页数:16
相关论文
共 50 条
  • [31] Polarization in social media
    Zhang, Congli
    Wang, Xiaolei
    Min, Yong
    Yu, Shanqing
    Wu, Ye
    Xuan, Qi
    Fu, Chenbo
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2025, 665
  • [32] The impact of social and conventional media on firm equity value: A sentiment analysis approach
    Yu, Yang
    Duan, Wenjing
    Cao, Qing
    DECISION SUPPORT SYSTEMS, 2013, 55 (04) : 919 - 926
  • [33] Impact of Sentiment Analysis for the 2020 US Presidential Election on Social Media Data
    Qorib, Miftahul
    Gizaw, Rahel S.
    Kim, Junwhan
    PROCEEDINGS OF 2023 8TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING TECHNOLOGIES, ICMLT 2023, 2023, : 28 - 34
  • [34] The Impact of Sentiment Analysis on Social Media to Assess Customer Satisfaction: Case of Rwanda
    Ngaboyamahina, Marius
    Yi, Sun
    2019 4TH IEEE INTERNATIONAL CONFERENCE ON BIG DATA ANALYTICS (ICBDA 2019), 2019, : 356 - 359
  • [35] Social media sentiment and the stock market
    Fekrazad, Amir
    Harun, Syed M.
    Sardar, Naafey
    JOURNAL OF ECONOMICS AND FINANCE, 2022, 46 (02) : 397 - 419
  • [36] Social media and sentiment in bioenergy consultation
    Uren, Victoria
    Wright, Daniel
    Scott, James
    He, Yulan
    Saif, Hassan
    INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT, 2016, 10 (01) : 87 - 98
  • [37] Consumer sentiment: The influence of social media
    Zhang, Zhengfa
    Keasey, Kevin
    Lambrinoudakis, Costas
    V. Mascia, Danilo
    ECONOMICS LETTERS, 2024, 237
  • [38] Social media sentiment and market behavior
    Affuso, Ermanno
    Lahtinen, Kyre Dane
    EMPIRICAL ECONOMICS, 2019, 57 (01) : 105 - 127
  • [39] SENTIMENT ANALYSIS OF THE INFOGRAPHICS ON SOCIAL MEDIA
    Bratic, Diana
    Palic, Mirko
    Miljkovic, Petar
    PROCEEDINGS OF FEB ZAGREB 12TH INTERNATIONAL ODYSSEY CONFERENCE ON ECONOMICS AND BUSINESS, 2021, 2021, 3 : 1072 - 1081
  • [40] A survey of sentiment analysis in social media
    Lin Yue
    Weitong Chen
    Xue Li
    Wanli Zuo
    Minghao Yin
    Knowledge and Information Systems, 2019, 60 : 617 - 663