• Graduate Programs
  • Research
  • Browse our Courses
  • Events
    • Events Calendar
    • Events Archive
    • Summer School
      • Applied Public Policy Evaluation
      • Deep Learning
      • Development Economics
      • Economics of Blockchain and Digital Currencies
      • Economics of Climate Change
      • The Economics of Crime
      • Foundations of Machine Learning with Applications in Python
      • From Preference to Choice: The Economic Theory of Decision-Making
      • Inequalities in Health and Healthcare
      • Marketing Research with Purpose
      • Markets with Frictions
      • Modern Toolbox for Spatial and Functional Data
      • Sustainable Finance
      • Tuition Fees and Payment
      • Business Data Science Summer School Program
    • Tinbergen Institute Lectures
    • 2026 Tinbergen Institute Opening Conference
    • Annual Tinbergen Institute Conference
  • News
  • Summer School
    • Applied Public Policy Evaluation
    • Deep Learning
    • Development Economics
    • Economics of Blockchain and Digital Currencies
    • Economics of Climate Change
    • The Economics of Crime
    • Foundations of Machine Learning with Applications in Python
    • From Preference to Choice: The Economic Theory of Decision-Making
    • Inequalities in Health and Healthcare
    • Marketing Research with Purpose
    • Markets with Frictions
    • Modern Toolbox for Spatial and Functional Data
    • Sustainable Finance
    • Tuition Fees and Payment
  • Alumni
Home | Events Archive | The Rise of Affective Framing in TV News
Seminar

The Rise of Affective Framing in TV News


  • Series
    Erasmus Finance Seminars
  • Speaker(s)
    Ryan Lewis (University of Colorado, United States)
  • Field
    Finance, Accounting and Finance
  • Location
    Erasmus University Rotterdam, Campus Woudestein, Langeveld 1.08
    Rotterdam
  • Date and time

    April 14, 2026
    11:45 - 13:00

Abstract

Using a novel, people-centric method to quantify media content, we study how cable news networks (CNN, Fox News, and MSNBC) have covered the news from 2012-2024. By separately measuring who is discussed and how they are discussed, we document three key findings. First, TV networks have increasingly focused airtime on the opposing party while adopting an increasingly negative tone — a pattern consistent with affective framing. Second, we show that standard topic-based models fail to capture this pattern because they neglect the identity of the people being discussed. Who is covered is as important as what is covered. Third, coverage has grown more hypocritical over time. A single network covers the same topic (e.g. improper handling of classified documents) with starkly different tone depending on the party affiliation of the subject. Our findings contribute to the literature on media polarization by providing direct empirical evidence of the shift toward affective, anger-based polarization in news content.