情感(语言学)
社会化媒体
机制(生物学)
心理学
消费(社会学)
认知心理学
认知
情绪分析
媒体消费
产品(数学)
社会心理学
广告
用户生成的内容
社会影响力
数字媒体
情感计算
媒体内容
微博
计算机科学
翻译(生物学)
新媒体
使用与满足理论
翻译研究
作者
Lifeng Chen,Fatian Jiang,Siti Nor Bayaah Ahmad
出处
期刊:Asia Pacific Journal of Marketing and Logistics
[Emerald Publishing Limited]
日期:2026-10-18
卷期号:: 1-17
标识
DOI:10.1108/apjml-03-2026-0567
摘要
Purpose This study investigates the micro-level structural differences in online review affect between social media and e-commerce platforms, exploring the underlying psychological mechanisms that drive consumers to selectively express polarised reviews across these media. Design/methodology/approach Utilising large language model-driven aspect-based sentiment analysis, this study quantifies an initial dataset of 65,493 smartphone online reviews from TikTok, Bilibili, Jingdong and Suning to identify aspect-level affective differences. To explain the observed differences, Study 2 draws on uses and gratifications theory and conducts a 2 × 2 between-subjects experiment, using wireless headphones as the focal product and TikTok and Taobao as the platforms, to examine how media environments moderate the translation of consumption experiences into review intentions. Findings Affective differences extend to specific cognitive attributes, with social media platforms exhibiting a significantly more negative and heterogeneous affective landscape, whereas e-commerce platforms demonstrate overwhelming positivity. These differences are driven by a dual-pathway mechanism. Social media platforms primarily activate self-enhancement motivation, which facilitates the translation of negative experiences into negative reviews while weakening the translation of positive experiences into positive reviews. Conversely, e-commerce platforms primarily activate economic motivation, which facilitates the translation of positive experiences into positive reviews while reducing the likelihood of negative experiences translating into negative reviews. Originality/value This study extends the investigation of review affect from within-medium comparisons to cross-media analysis. By shifting from macro-level indicators to micro-level attribute evidence, this study reveals a more comprehensive picture of cross-media affective bias. By extending the application of uses and gratifications theory from content consumption to content production, it offers a novel mechanistic explanation for this phenomenon.
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