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Reducing privacy concerns in personalized advertising: The role of social-self information in recommendation labels

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  • Lv, Linxiang
  • Chen, Siyun
  • Gong, Zhuoneng
  • Liu, Gus Guanrong
  • Qin, Huanyu
  • Zhang, Hao

Abstract

In the age of artificial intelligence (AI), it is crucial to address consumer privacy concerns in personalized advertising. However, the specific types of self-information that advertisers should prioritize to effectively alleviate these concerns in personalized advertisements remain unclear, even though personal information is a critical factor. This paper explores the literature on the concept of the “self,” highlighting that the social self—emerging from one’s integration into social groups—is perceived as less private and more shareable than the personal self, which is rooted in interpersonal comparisons and unique personal traits. Through a field study on Facebook and several experimental studies, we demonstrate that using recommendation labels with social-self information (vs. personal-self information) in personalized advertising reduces consumers’ ad avoidance. This reduction is attributed to the lower perception of threat severity, thereby diminishing privacy concerns.

Suggested Citation

  • Lv, Linxiang & Chen, Siyun & Gong, Zhuoneng & Liu, Gus Guanrong & Qin, Huanyu & Zhang, Hao, 2025. "Reducing privacy concerns in personalized advertising: The role of social-self information in recommendation labels," Journal of Business Research, Elsevier, vol. 201(C).
    • Handle: RePEc:eee:jbrese:v:201:y:2025:i:c:s0148296325005454
    DOI: 10.1016/j.jbusres.2025.115722
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    References listed on IDEAS

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    1. Zhang, Junhui & Balaji, M.S. & Luo, Jun & Jha, Subhash, 2022. "Effectiveness of product recommendation framing on online retail platforms," Journal of Business Research, Elsevier, vol. 153(C), pages 185-197.
    2. Bleier, Alexander & Eisenbeiss, Maik, 2015. "The Importance of Trust for Personalized Online Advertising," Journal of Retailing, Elsevier, vol. 91(3), pages 390-409.
    3. Tanvi Gupta & Henrik Hagtvedt & Margaret C Campbell & Chris Janiszewski, 2021. "Safe Together, Vulnerable Apart: How Interstitial Space in Text Logos Impacts Brand Attitudes in Tight versus Loose Cultures," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 48(3), pages 474-491.
    4. Mpinganjira, Mercy & Maduku, Daniel K., 2019. "Ethics of mobile behavioral advertising: Antecedents and outcomes of perceived ethical value of advertised brands," Journal of Business Research, Elsevier, vol. 95(C), pages 464-478.
    5. Sun, Zhuo & Zang, Guoquan & Wang, ZongShui & Zhao, Hong & Liu, Wei, 2023. "VCAs as partners or servants? The effects of information sensitivity and anthropomorphism roles on privacy concerns," Technological Forecasting and Social Change, Elsevier, vol. 192(C).
    6. Dhruv Grewal & John Hulland & Praveen K. Kopalle & Elena Karahanna, 2020. "The future of technology and marketing: a multidisciplinary perspective," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 1-8, January.
    7. Xinshu Zhao & John G. Lynch & Qimei Chen, 2010. "Reconsidering Baron and Kenny: Myths and Truths about Mediation Analysis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(2), pages 197-206, August.
    8. Chinchanachokchai, Sydney & Thontirawong, Pipat & Chinchanachokchai, Punjaporn, 2021. "A tale of two recommender systems: The moderating role of consumer expertise on artificial intelligence based product recommendations," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    Full references (including those not matched with items on IDEAS)

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