"A Pretty Blunt Approach": Meta's Political Content Reduction Policy and Italian Parliamentarians' Facebook Visibility
Fabio Giglietto
Additional contact information
Fabio Giglietto: Università di Urbino Carlo Bo
No 8dqag_v2, SocArXiv from Center for Open Science
Abstract:
In February 2021, Meta announced it would reduce the distribution of political content in users' News Feeds, implementing the policy globally by July 2022 before reversing course in January 2025. Despite the significance of these changes for democratic communication, no independent research has quantified their effects on elected officials. This study examines Meta's political content reduction policy using a dataset of over 2.5 million Facebook posts from Italian parliamentarians, prominent politicians, and political extremist accounts spanning 2021–2025, collected via the Meta Content Library API. Employing a discovery-validation design with structural breakpoint detection methods, the analysis identifies three cross-validated breakpoints that reveal policy effects emerged in Italy approximately ten months before Meta's announced global implementation. The findings document a 72% reduction in average reach for re-elected Members of Parliament, declining from approximately 53,000 views per post before the policy to 15,000 at the trough. Although Meta's January 2025 reversal produced a significant rebound, post-reversal reach recovered to only 65% of pre-policy levels. A robustness check reveals asymmetric effects: while mainstream politicians experienced substantial visibility losses, extremist accounts' high posting volume more than compensated for modest per-post declines, resulting in increased total weekly reach during the policy period. These findings expose significant transparency deficits in Meta's policy communication while also demonstrating the research value of the transparency infrastructure that made this study possible.
Date: 2025-12-30
References: Add references at CitEc
Citations:
Downloads: (external link)
https://osf.io/download/6952776d7573a28cc4d4957f/
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:8dqag_v2
DOI: 10.31219/osf.io/8dqag_v2
Access Statistics for this paper
More papers in SocArXiv from Center for Open Science
Bibliographic data for series maintained by OSF ().