The Adaptive Use of Prestige-Biased Social Learning in an Online, Knowledge-Based Task

preprint OA: closed CC-BY-4.0
🔓 Open OA copy View at publisher

Abstract

Prestige-biased social learning occurs when individuals preferentially learn from others who are highly respected, admired, copied, or attended to in their group. This form of social learning is argued to reflect novel forms of social hierarchy in human societies, and, by providing an efficient short-cut to acquiring adaptive information, underpin the cumulative cultural evolution that has contributed to our species’ ecological success. Despite these potentially important consequences, little experimental evidence to date has tested the basic assumptions of prestige-biased social learning. Here we provide evidence supporting the key predictions that prestige-biased social learning is used only when it constitutes an indirect cue of success, and when success-biased social learning is unavailable. We ran an online experiment (n=300) in which participants could copy each other in real-time to score points on a general-knowledge quiz. Our implementation of ‘prestige’ was the number of times someone had previously been copied by others. We found that, as predicted, participants used prestige-biased social learning when the prestige cue was an indirect cue of success, and when direct success information was unavailable. This highlights how people flexibly and adaptively employ social learning strategies based on the reliability of the information that such strategies provide.

My notes (saved in your browser only)

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.

Source provenance

europepmc
last seen: 2026-05-19T01:45:01.086888+00:00
unpaywall
last seen: 2026-06-05T02:00:03.366016+00:00
License: CC-BY-4.0