Niitsuma Takuro, Yoshida Mitsuo, Tamori Hideaki, Nakawake Yo
Media R&D Center, The Asahi Shimbun Company, 5-3-2 Tsukiji, Chuo-ku, Tokyo, Japan.
Institute of Business Sciences, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, Tokyo, Japan.
Sci Rep. 2025 May 1;15(1):15282. doi: 10.1038/s41598-025-98955-4.
Cultural evolution theory suggests that prestige bias-whereby individuals preferentially learn from prestigious figures-has played a key role in human ecological success. However, its impact within online environments remains unclear, particularly with respect to whether reposts by prestigious individuals amplify diffusion more effectively than reposts by noninfluential users. We analyzed over 55 million posts and 520 million reposts on Twitter (currently X) to examine whether users with high influence scores (hg indices) more effectively amplified the reach of others' content. Our findings indicate that posts shared by influencers are more likely to be further shared than those shared by non-influencers. This effect persisted over time, especially in viral posts. Moreover, a small group of highly influential users accounted for approximately half of the information flow within repost cascades. These findings demonstrate a prestige bias in information diffusion within the digital society, suggesting that cognitive biases shape content spread through reposting.
文化进化理论表明,威望偏见(即个体优先向有声望的人物学习)在人类的生态成功中发挥了关键作用。然而,其在网络环境中的影响仍不明确,尤其是在有声望的个体转发是否比无影响力的用户转发更有效地扩大传播范围方面。我们分析了推特(现为X)上超过5500万条帖子和5.2亿条转发,以研究具有高影响力得分(hg指数)的用户是否能更有效地扩大他人内容的传播范围。我们的研究结果表明,有影响力的人分享的帖子比无影响力的人分享的帖子更有可能被进一步分享。这种效应随着时间的推移持续存在,尤其是在热门帖子中。此外,一小部分极具影响力的用户在转发级联中的信息流中占了大约一半。这些发现表明数字社会中信息传播存在威望偏见,这表明认知偏见通过转发塑造了内容传播。