Facebook Ads: Politics of Migration in Italy
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Abstract (arXiv)
Targeted online advertising is on the forefront of political communication, allowing hyper-local advertising campaigns around elections and issues. In this study, we employ a new resource for political ad monitoring -- Facebook Ads Library -- to examine advertising concerning the issue of immigration in Italy. A crucial topic in Italian politics, it has recently been a focus of several populist movements, some of which have adopted social media as a powerful tool for voter engagement. Indeed, we find evidence of targeting by the parties both in terms of geography and demographics (age and gender). For instance, Five Star Movement reaches a younger audience when advertising about immigration, while other parties' ads have a more male audience when advertising on this issue. We also notice a marked rise in advertising volume around elections, as well as a shift to more general audience. Thus, we illustrate political advertising targeting that likely has an impact on public opinion on a topic involving potentially vulnerable populations, and urge the research community to include online advertising in the monitoring of public discourse.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Oct 2020.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 1; 2024: 2.
5 papers.
- 2022Weakly Supervised Learning for Analyzing Political Campaigns on Facebookcited by 8
- 2024Discovering Latent Themes in Social Media Messaging: A Machine-in-the-Loop Approach Integrating LLMscited by 8
- 2021Unraveling Social Perceptions & Behaviors towards Migrants on Twittercited by 4
- 2024Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluationcited by 4
- 2023Analysis of Climate Campaigns on Social Media using Bayesian Model Averagingcited by 3
- 2024Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation7 Oct 2024
- 2024Discovering Latent Themes in Social Media Messaging: A Machine-in-the-Loop Approach Integrating LLMs15 Mar 2024
- 2023Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging6 May 2023
- 2022Weakly Supervised Learning for Analyzing Political Campaigns on Facebook19 Oct 2022
- 2021Unraveling Social Perceptions & Behaviors towards Migrants on Twitter4 Dec 2021