title: Quantifying the effects of social influence.
abstract: How do humans respond to indirect social influence when making decisions? We analysed an experiment where subjects had to guess the answer to factual questions, having only aggregated information about the answers of others. While the response of humans to aggregated information is a widely observed phenomenon, it has not been investigated quantitatively, in a controlled setting. We found that the adjustment of individual guesses depends linearly on the distance to the mean of all guesses. This is a remarkable, and yet surprisingly simple regularity. It holds across all questions analysed, even though the correct answers differ by several orders of magnitude. Our finding supports the assumption that individual diversity does not affect the response to indirect social influence. We argue that the nature of the response crucially changes with the level of information aggregation. This insight contributes to the empirical foundation of models for collective decisions under social influence.
authors: Chair of Systems Design, ETH Zurich, Weinbergstrasse 58, 8092 Zurich, Switzerland.
authors: Pavlin
authors: P
authors: Mavrodiev
authors: Claudio J
authors: CJ
authors: Tessone
authors: Frank
authors: F
authors: Schweitzer
mesh_terms: D003657:Decision Making; D006801:Humans; D016018:Least-Squares Analysis; D016014:Linear Models; D015233:Models, Statistical; D012919:Social Behavior