Claudia Marangon
Claudia Marangon

Postdoctoral Fellow

Harvard University

Welcome to my website! I am a Postdoctoral Fellow at Harvard University, funded by the Swiss National Science Foundation. I am also a Research Affiliate at the Group for Law, Economics and Data Science and the Public Policy Group at ETH Zurich. I obtained my Ph.D. in Economics at ETH Zurich in May 2025 and was Visiting Fellow at the Harvard Kennedy School of Government in Spring 2023.

My research lies at the intersection of Media Economics and Economics of Crime, with a focus on the role of gender and racial identity. In particular, I leverage techniques in machine learning and natural language processing to shed light on the effect of identity among professionals, like journalists or judges.

I also co-organize the Online Seminar in Economics + Data Science. You can join our mailing list to be up to date with our events and contact me directly if you are interested in presenting!

CV
Interests
  • Political Economy
  • Media Economics
  • Economics of Crime
  • Natural Language Processing
Education
  • Ph.D. Candidate in Economics, 2019-2025

    ETH Zurich

  • Visiting Fellow, Spring 2023

    Harvard Kennedy School of Government

  • M.Sc. in Economic and Social Sciences, 2016-2019

    Bocconi University

  • B.A. in Economics and Social Sciences, 2013-2016

    Bocconi University

Research

Working Papers

Work in Progress

Identity in Journalism: Evidence from News Reporting of Violence Against Women.
Abstract
How does the identity of journalists shape news content, and to what extent does it affect readers’ behavior? I investigate this question in the context of gender identity and media representation of violence against women (VAW) in Italy, focusing on murders where the victim is a woman. I construct a novel dataset of newspaper articles about murders of women from 2006 to 2022, and I isolate different reporting practices outlined in international guidelines using a dictionary approach. Exploiting the exogenous assignment of journalists to crimes based on work schedules, I find that female authors are more likely to comply with international journalistic guidelines on reporting about VAW. For instance, they are twice as likely as male reporters to mention the Italian helpline number for VAW and around ten percentage points less likely to mention a ``fit of rage’’ which, according to the guidelines, tends to minimize the perpetrator’s responsibility in the murder. Moreover, leveraging the exogenous assignment of journalists and the random timing of these murders, I show that increasing exposure to female authors leads to an increase in calls to the helpline number for VAW in the weeks following the murder of a woman in the province where the murder happened.
Visual Justice: The Effect of Media Mugshots on Attitudes and Judicial Outcomes.
with Elliott Ash, Sergio Galletta, and Benjamin Kohler
Gender Differences in Judging.
with Clémentine Abed Meraim, Elliott Ash, and Talia Gillis

Conference Publications

WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts. Proceedings of the 37th Conference on Neural Information Processing Systems (NEURIPS). 2023
with Elliott Ash, Naman Goel, Nianyun Li, and Peiyao Sun
Teaching
Data Science for Public Policy: From Econometrics to AI — ETH Zurich (Spring 2025)
Lecturer for graduate-level course connecting econometric methods with modern AI applications in public policy.
Text Data in Economics — University of Basel (Fall 2023, Fall 2024)
Lecturer for a PhD-level course on natural language processing methods applied to Economics
Building a Robot Judge: Data Science for Decision Making — ETH Zurich (Fall 2020–2023)
Teaching assistant for graduate-level course on causal inference and machine learning methods for decision-making
NLP for Law and Political Economy — ETH Zurich (Spring 2020–2022)
Teaching assistant for graduate-level course on natural language processing methods applied to Law and Political Economy