
About
I am a Research Fellow at the University of Nottingham and a PhD Candidate in Economics at Trinity College Dublin. I am currently visiting Harvard Government hosted by Professor James Snyder.
My research interests lie in empirical Political Economy with a specific focus on Media Economics. I employ advanced text analysis techniques, including BERT-based models and large language models (LLMs).
You can find my CV here. Email: matteopograxha@gmail.com
Research
Working Papers
- From Virality to Visibility: How Social Media Shapes Television Coverage of Politicians - Job Market Paper (New draft coming soon!)
I examine whether social media virality helps politicians secure television airtime, with online success signaling political relevance to television producers. Using comprehensive X data from all Italian Members of the Parliament linked to their daily television airtime, I develop a classification of extreme rhetoric that undermines democratic norms through institutional delegitimization, group-based discrimination, and zero-sum framing. I first show that extreme rhetoric creates strong incentives for politicians by substantially increasing online engagement and the probability of going viral. I then document a clear feedback mechanism between platforms: politicians who achieve viral status receive significantly more television invitations the following day, secure greater speaking time when invited, and receive invitations from more programs. To explain these patterns, I develop a theoretical model where politicians strategically choose extreme rhetoric to exploit online attention dynamics, even when audiences correctly discount the exaggeration. The findings reveal how social media has created new pathways for politicians to convert online attention into traditional media airtime.
- Man Bites Dog: Editorial Choices and Biases in the Reporting of Weather Events - with
Nicola Mastrorocco,
Arianna Ornaghi, and
Stephane Wolton CEPR Discussion Paper (2023)
Every day, editors of media outlets decide what is news and what is not. We unpack the process of news production by looking at the share of newscasts devoted to weather events by local TV stations in the United States. We document that coverage increases with the severity of the weather event that day. We also uncover that stations operating in Democratic-leaning markets devote more time to extreme weather events and mention climate change more than outlets in Republican-leaning markets. We make sense of these publication and presentation biases with a stylised model of news production and consumption.
Work in Progress
- (Do not) Keep Calm and Carry On: TV and Heated Debates - with Nicola Fontana
- Uncovering the Hidden Side of Central Bank Communication: Evidence from Social Media - with Donato Masciandaro, Conor Parle and Davide Romelli
- Scoring Goals, Spreading Hate: Drivers of Hate Crime in Germany - with Francesco Barilari, and Enrico Cavallotti
Research & Training
- Oct 2024 – Sept 2025 UN Research Consultant — Text Analytics & Legal Digitization
Led large-scale digitization and variable extraction of South African Government Gazettes using advanced layout detection and Named Entity Recognition (NER).
- Sept 2025 Guest Instructor — National Treasury (Pretoria), South Africa
Delivered a two-day seminar on text analysis for policy and research teams, covering NLP pipelines, document layout parsing, and practical use cases with legal and administrative texts.
Teaching
- Spring 2022 Introduction to Macroeconomics - Undergraduate
- Fall 2022 Introduction to Microeconomics - Undergraduate
- Spring 2024 Statistics - Undergraduate