ArticleiScience2024
Echo chamber formation sharpened by priority users.
Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
On social media platforms, priority users (e.g., verified profiles on X) are users whose posts are promoted by recommendation algorithms. However, their influence on opinion dynamics, in particular polarization and echo chamber formation, is not well understood. Through computational modeling, we investigate this influence in a stylized setting. By introducing priority user accounts, we find that prioritization can mitigate polarization. However, by incorporating stubborn user behavior, we find that the results change and that priority accounts can exacerbate the formation of echo chambers. In other words, a minority of extremist ideologues can trigger a transition from consensus to polarization. Our study suggests careful monitoring of platform prioritization policies to prevent potential misuse of users with enhanced influence.
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Registered trials
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.