I am a Ph.D. Candidate in Economics at the University of Bologna. I expect to complete my Ph.D. in 2026 and I am happy to discuss opportunities starting in Fall 2026.
I am a microeconomist working on Media and Information Economics and Political Economy. My research agenda examines how economic incentives in digital media shape the supply, demand, and quality of information. I develop theoretical models and test their predictions using large-scale text data and computational text analysis to identify key mechanisms behind information choice and attention.
đ˘ News & Upcoming
- Spring 2026: I am visiting Princeton University as a Visiting Student Research Collaborator.
- December 9, 2025: I presented my Job Market Paper at the CEPR Paris Symposium 2025.
Working Papers
â Headline Selection and Misleading Information Job Market Paper
I develop a model of strategic headline selection in which outlets cannot lie but can strategically choose which truthful component of the underlying information to reveal as a preview when readers can choose whether to pay to access the full article. The main result is that revenue incentives alone can generate misleading yet factually accurate headlines: in equilibrium, a headline can be action-reversing, inducing a fully rational reader to take the opposite action she would take after observing the full article. These distortions can reduce decision quality and generate welfare losses despite hard information constraints and no ideological motives. I then develop a novel empirical strategy to operationalize the modelâs key objects and test its implications in large-scale news data. Using a novel dataset of 150,000 U.S. news articles and LLM-based text analysis, I document systematic headlineâcontent divergence consistent with the theory and show that misleading previews are more prevalent when underlying information is more heterogeneous.
Work in Progress
The Curse of Popularity: Endogenous Agendas and Media Bias
I develop a model where media outlets jointly choose which topic to cover (agenda setting) and how to report (editorial slant) under limited consumer attention. I characterize the conditions under which a âcurse of popularityâ emerges: when a topic becomes sufficiently popular, competing outlets converge on that same issue andârather than conveying the most informative coverageâhave incentives to introduce editorial bias, crowding out other topics and reducing welfare. By contrast, when attention is more dispersed, outlets tend to specialize across topics and (in equilibrium) report more truthfully, improving informational quality and decision-making.
The Scope Wedge: How Private Attention and Public Signaling Diverge in News Demand
I exploit a unique dataset in which each article appears simultaneously in two attention rankingsâMost Viewed and Most Sharedâto study how private and public use of news diverge for identical content. I combine these empirical patterns with a simple model of informational and signaling utility. Preliminary results reveal a systematic âscope wedgeâ: locally useful articles attract more private attention, while nationally framed or identity-related pieces are disproportionately shared. Moreover, contrary to common claims, shared articles are not simplerâthey are more sophisticated, consistent with signaling rather than âdumbing down.â
