Malicious Selling Strategies in Livestream E-Commerce : A Case Study of Alibaba’s Taobao and ByteDance’s TikTok
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Article number | 35 |
Journal / Publication | ACM Transactions on Computer-Human Interaction |
Volume | 30 |
Issue number | 3 |
Online published | 22 Dec 2022 |
Publication status | Published - 10 Jun 2023 |
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Abstract
Due to the limitations imposed by the COVID-19 pandemic, customers have shifted their shopping patterns from offline to online. Livestream shopping has become popular as one of the online shopping media. However, various streamers’ malicious selling behaviors have been reported. In this research, we sought to explore streamers’ malicious selling strategies and understand how viewers perceive these strategies. First, we recorded 40 livestream shopping sessions from two popular livestream platforms in China—Taobao and TikTok. We identified 16 malicious selling strategies that were used to deceive, coerce, or manipulate viewers and found that platform designs enhanced nine of the malicious selling strategies. Second, through an interview study with 13 viewers, we report three challenges of overcoming malicious selling in relation to imbalanced power between viewers, streamers, and the platforms. We conclude by discussing the policy and design implications of countering malicious selling. © 2022 Association for Computing Machinery.
Research Area(s)
- dark pattern, livestream e-commerce, deceptive design, Douyin, livestream shopping, Taobao, interview, malicious selling strategy, TikTok, taxonomy, deception
Bibliographic Note
Research Unit(s) information for this publication is provided by the author(s) concerned.
Citation Format(s)
Malicious Selling Strategies in Livestream E-Commerce: A Case Study of Alibaba’s Taobao and ByteDance’s TikTok. / WU, Qunfang; SANG, Yisi; WANG, Dakuo et al.
In: ACM Transactions on Computer-Human Interaction, Vol. 30, No. 3, 35, 10.06.2023.
In: ACM Transactions on Computer-Human Interaction, Vol. 30, No. 3, 35, 10.06.2023.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review