Sign up & Download
Sign in

Spread of (mis)information in social networks

by Daron Acemoglu, Asuman Ozdaglar, Ali ParandehGheibi
Games and Economic Behavior

Abstract

We provide a model to investigate the tension between information aggregation and spread of misinformation. Individuals meet pairwise and exchange information, which is modeled as both individuals adopting the average of their pre-meeting beliefs. "Forceful" agents influence the beliefs of (some of) the other individuals they meet, but do not change their own opinions. We characterize how the presence of forceful agents interferes with information aggregation. Under the assumption that even forceful agents obtain some information from others, we first show that all beliefs converge to a stochastic consensus. Our main results quantify the extent of misinformation by providing bounds or exact results on the gap between the consensus value and the benchmark without forceful agents (where there is efficient information aggregation). The worst outcomes obtain when there are several forceful agents who update their beliefs only on the basis of information from individuals that have been influenced by them. ?? 2010 Elsevier Inc.

Cite this document (BETA)

Page 1
hidden
Page 2
hidden

Readership Statistics

114 Readers on Mendeley
by Discipline
 
 
 
by Academic Status
 
42% Ph.D. Student
 
13% Student (Master)
 
7% Post Doc
by Country
 
10% United States
 
2% United Kingdom
 
2% Japan

Sign up today - FREE

Mendeley saves you time finding and organizing research. Learn more

  • All your research in one place
  • Add and import papers easily
  • Access it anywhere, anytime

Start using Mendeley in seconds!

Already have an account? Sign in