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Related Experiment Video

Updated: May 13, 2026

Social Threat-Safety Test Uncovers Psychosocial Stress-Related Phenotypes
05:03

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Published on: December 15, 2023

Quantifying the effects of social influence.

Pavlin Mavrodiev1, Claudio J Tessone, Frank Schweitzer

  • 1Chair of Systems Design, ETH Zurich, Weinbergstrasse 58, 8092 Zurich, Switzerland.

Scientific Reports
|March 2, 2013
PubMed
Summary
This summary is machine-generated.

Humans adjust their guesses linearly with the average of others' answers, demonstrating a simple, consistent response to indirect social influence in decision-making, regardless of question difficulty.

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Area of Science:

  • Social Psychology
  • Behavioral Economics
  • Decision Science

Background:

  • Human decision-making is influenced by social factors.
  • Indirect social influence, where individuals are affected by aggregated group behavior, is common but not well-quantified.
  • Previous research has observed responses to aggregated information, but lacked controlled, quantitative analysis.

Purpose of the Study:

  • To quantitatively investigate how humans respond to indirect social influence in a controlled experimental setting.
  • To identify and analyze the regularity in individual decision adjustments based on aggregated social information.
  • To explore the impact of information aggregation levels on collective decision-making.

Main Methods:

  • An experiment was conducted where subjects guessed answers to factual questions.
  • Participants received aggregated information about the guesses of other subjects.
  • Individual guess adjustments were analyzed in relation to the mean of all guesses.

Main Results:

  • Individual guess adjustments showed a linear dependence on the distance to the mean of all guesses.
  • This linear regularity was consistent across questions with vastly different correct answer scales.
  • Individual diversity did not appear to affect the response to indirect social influence.

Conclusions:

  • Human response to indirect social influence in decision-making exhibits a simple, linear regularity.
  • The level of information aggregation significantly alters the nature of social influence.
  • Findings provide empirical support for models of collective decision-making under social influence.