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Understanding users’ negative responses to recommendation algorithms in short-video platforms: a perspective based on the Stressor-Strain-Outcome (SSO) framework

Author

Listed:
  • Xiumei Ma

    (Harbin Institute of Technology
    The Hong Kong Polytechnic University, Li Ka Shing Tower, The Hong Kong Polytechnic University)

  • Yongqiang Sun

    (Wuhan University)

  • Xitong Guo

    (Harbin Institute of Technology)

  • Kee-hung Lai

    (The Hong Kong Polytechnic University, Li Ka Shing Tower, The Hong Kong Polytechnic University)

  • Doug Vogel

    (Harbin Institute of Technology)

Abstract

AI-based recommendation algorithms have received extensive attention from both academia and industry due to their rapid development and broad application. However, not much is known regarding the dark side, especially users’ negative responses. From the perspective of recommendation features and information characteristics, this study aims to uncover users’ negative responses to such AI-based recommendation algorithms in the algorithm-driven context of short-video platforms. Drawing on the stressor-strain-outcome (SSO) framework, this study identifies information-related stressors and examines their influence on users’ negative responses to a recommendation algorithm. The results show that such algorithms’ greedy recommendation feature induces information narrowing, information redundancy, and information overload. These information factors predict users’ exhaustion, which in turn promotes users’ psychological reactance and discontinuance intention. This study adds knowledge on the dark side of recommendation algorithms.

Suggested Citation

  • Xiumei Ma & Yongqiang Sun & Xitong Guo & Kee-hung Lai & Doug Vogel, 2022. "Understanding users’ negative responses to recommendation algorithms in short-video platforms: a perspective based on the Stressor-Strain-Outcome (SSO) framework," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 41-58, March.
    • Handle: RePEc:spr:elmark:v:32:y:2022:i:1:d:10.1007_s12525-021-00488-x
    DOI: 10.1007/s12525-021-00488-x
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    References listed on IDEAS

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    1. Marko Sarstedt & Erik Mooi, 2014. "The Market Research Process," Springer Texts in Business and Economics, in: A Concise Guide to Market Research, edition 2, chapter 2, pages 11-23, Springer.
    2. Zhang, Hong & Zhao, Ling & Gupta, Sumeet, 2018. "The role of online product recommendations on customer decision making and loyalty in social shopping communities," International Journal of Information Management, Elsevier, vol. 38(1), pages 150-166.
    3. Arun Rai, 2020. "Explainable AI: from black box to glass box," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 137-141, January.
    4. Dhir, Amandeep & Kaur, Puneet & Chen, Sufen & Pallesen, Ståle, 2019. "Antecedents and consequences of social media fatigue," International Journal of Information Management, Elsevier, vol. 48(C), pages 193-202.
    5. Chen, Qi & Feng, Yuqiang & Liu, Luning & Tian, Xianyun, 2019. "Understanding consumers’ reactance of online personalized advertising: A new scheme of rational choice from a perspective of negative effects," International Journal of Information Management, Elsevier, vol. 44(C), pages 53-64.
    6. Pillai, Rajasshrie & Sivathanu, Brijesh & Dwivedi, Yogesh K., 2020. "Shopping intention at AI-powered automated retail stores (AIPARS)," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    7. Xuzhen Zhu & Yujie Yang & Guilin Chen & Matus Medo & Hui Tian & Shi-Min Cai, 2017. "Information filtering based on corrected redundancy-eliminating mass diffusion," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-15, July.
    8. Aguirre, Elizabeth & Mahr, Dominik & Grewal, Dhruv & de Ruyter, Ko & Wetzels, Martin, 2015. "Unraveling the Personalization Paradox: The Effect of Information Collection and Trust-Building Strategies on Online Advertisement Effectiveness," Journal of Retailing, Elsevier, vol. 91(1), pages 34-49.
    9. repec:ucp:bkecon:9780226316529 is not listed on IDEAS
    10. Guo, Yuanyuan & Lu, Zhenzhen & Kuang, Haibo & Wang, Chaoyou, 2020. "Information avoidance behavior on social network sites: Information irrelevance, overload, and the moderating role of time pressure," International Journal of Information Management, Elsevier, vol. 52(C).
    11. Marko Sarstedt & Erik Mooi, 2014. "A Concise Guide to Market Research," Springer Texts in Business and Economics, Springer, edition 2, number 978-3-642-53965-7, June.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Recommendation algorithms; SSO framework; Information characteristics; Negative responses; Dark side of AI;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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