Malicious Selling Strategies in Livestream E-Commerce: A Case Study of Alibaba’s Taobao and ByteDance’s TikTok

Author:

Wu Qunfang1,Sang Yisi1,Wang Dakuo2,Lu Zhicong3

Affiliation:

1. Syracuse University, USA

2. Northeastern University, USA

3. City University of Hong Kong, China

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.

Publisher

Association for Computing Machinery (ACM)

Subject

Human-Computer Interaction

Reference89 articles.

1. Use it or lose it: purchase acceleration effects of time-limited promotions;Aggarwal Praveen;Journal of Consumer Behaviour: An International Research Review,2003

2. Amazon Live. 2021. Amazon Live. Retrieved 7/8/2021 from https://www.amazon.com/live Amazon Live. 2021. Amazon Live. Retrieved 7/8/2021 from https://www.amazon.com/live

3. Buying from a Friend: A Content Analysis of Two Teleshopping Programs

4. Conveying Trustworthiness to Online Consumers: Reactions to Consensus, Physical Store Presence, Brand Familiarity, and Generalized Suspicion

5. Harry Brignull. 2018. Types of deceptive design. Retrieved 05/26/2022 from https://www.deceptive.design/types Harry Brignull. 2018. Types of deceptive design. Retrieved 05/26/2022 from https://www.deceptive.design/types

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