Evidence map›Paper›PMID 40312546›Full record

ArticleScientific reports2025

Prestige bias drives the viral spread of content reposted by influencers in online communities.

Takuro Niitsuma, Mitsuo Yoshida, Hideaki Tamori, Yo Nakawake

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Takuro NiitsumaMedia R&D Center, The Asahi Shimbun Company, 5-3-2 Tsukiji, Chuo-ku, Tokyo, Japan. niitsuma-t@asahi.com.
Mitsuo YoshidaInstitute of Business Sciences, University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, Tokyo, Japan.
Hideaki TamoriMedia R&D Center, The Asahi Shimbun Company, 5-3-2 Tsukiji, Chuo-ku, Tokyo, Japan.
Yo NakawakeGraduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi, Ishikawa, 923-1211, Japan. nakawake@jaist.ac.jp.

Funding

Japan Society for the Promotion of Science JP22K18150Japan Society for the Promotion of Science JP23K28376
6 · The paper itself

Abstract

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.

Indexed as

Information DisseminationSocial MediaBiasCultural EvolutionHumansCultural evolutionInfluencerInformation diffusionPrestige biasSocial network

Identifiers

PMID40312546
PMCPMC12046028

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.