• Graduate program
    • Why Tinbergen Institute?
    • Program Structure
    • Courses
    • Course Registration
    • Facilities
    • Admissions
    • Recent PhD Placements
  • Research
  • News
  • Events
    • Summer School
      • Behavioral Macro and Complexity
      • Econometrics and Data Science Methods for Business and Economics and Finance
      • Experimenting with Communication – A Hands-on Summer School
      • Inequalities in Health and Healthcare
      • Introduction in Genome-Wide Data Analysis
      • Research on Productivity, Trade, and Growth
      • Summer School Business Data Science Program
    • Events Calendar
    • Tinbergen Institute Lectures
    • Annual Tinbergen Institute Conference
    • Events Archive
  • Summer School
  • Alumni
  • Times
Home | Events Archive | Peer-to-Peer Information Sharing with Social Image Concerns
Seminar

Peer-to-Peer Information Sharing with Social Image Concerns


  • Series
    Brown Bag Seminars General Economics
  • Speaker
  • Field
    Organizations and Markets
  • Location
    Lounge/kitchen E Building floor E1
    Rotterdam
  • Date and time

    April 28, 2022
    12:00 - 13:00

Abstract

(Joint work with Philipp Denter)

We study how social image concerns drive information sharing patterns between peers. A sender receives a piece of information (”news”) and can either share it with a peer (“receiver”) or not. Information has two dimensions, veracity and relevance. Veracity is only observable upon inspection to talented receivers (at a cost) while everyone observes relevance. While individuals share news to be perceived as talented (able to recognize proper information), sharing may lead to a higher proportion of improper news. We derive conditions under which these improper news spread more than proper news and study other consequences of different social image concerns for sharing patterns. For example, we highlight how a motive of signaling one's worldview through information sharing leads to echo chambers where peers receive disproportionally many news that align with their prior. Different sharing motives thus create empirically distinguishable sharing patterns.