修辞
透视图(图形)
社会化媒体
价(化学)
社交媒体分析
实证研究
心理学
用户生成的内容
分析
计算机科学
数据科学
万维网
人工智能
认识论
量子力学
物理
哲学
语言学
作者
Luqi Wang,Ye Chen,Yuanyi Xu,Zhibin Lin
标识
DOI:10.1177/00472875231217738
摘要
This research draws upon visual rhetoric theory to investigate the influence of user-generated photos containing human images on the perceived usefulness of online reviews, the mediating role of perceived support, and the moderating effect of rebate disclosure. We conducted six empirical studies, including a social media analytics study and five experimental studies. The results indicate that online reviews containing human images, especially those with facial features, are perceived as more useful than those without, regardless of the reviews’ valence. Perceived support mediates this effect, while rebate disclosure weakens it. This study offers a fresh theoretical perspective and insights into the role of user-generated photos with human images in online reviews. Findings suggest that managers should prioritize visual rhetoric by incorporating human images in their communication with target customers, while also encouraging tourists to include these images in their posts, signifying support for the audience and improving content effectiveness.
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