mlsanityData to 7 Oct 2026

Weakly Supervised Learning for Analyzing Political Campaigns on Facebook

arXiv 2210.10669 ↗First posted 19 Oct 2022cs.CL cs.AI cs.CYcited by 8

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Abstract (arXiv)

Social media platforms are currently the main channel for political messaging, allowing politicians to target specific demographics and adapt based on their reactions. However, making this communication transparent is challenging, as the messaging is tightly coupled with its intended audience and often echoed by multiple stakeholders interested in advancing specific policies. Our goal in this paper is to take a first step towards understanding these highly decentralized settings. We propose a weakly supervised approach to identify the stance and issue of political ads on Facebook and analyze how political campaigns use some kind of demographic targeting by location, gender, or age. Furthermore, we analyze the temporal dynamics of the political ads on election polls.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 24 of its 62 references that are in the map. First posted on arXiv 19 Oct 2022.

Builds on

24 of 62 references.

References · 24

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12 more
  1. 2020Weakly Supervised Learning of Nuanced Frames for Analyzing Polarization in News Mediacited by 27
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  6. 2022Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervisioncited by 9
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  8. 2021Clandestino or Rifugiato? Anti-immigration Facebook Ad Targeting in Italycited by 8
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 2; 2025: 3; 2026: 2.

8 papers.

  1. 2024Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategycited by 9
  2. 2024Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluationcited by 4
  3. 2023Analysis of Climate Campaigns on Social Media using Bayesian Model Averagingcited by 3
  4. 2026Who Gets Which Message? Auditing Demographic Bias in LLM-Generated Targeted Textcited by 3
  5. 2025Can LLMs Assist Annotators in Identifying Morality Frames? -- Case Study on Vaccination Debate on Social Mediacited by 1
  6. 2025Iterative Topic Taxonomy Induction with LLMs: A Case Study of Electoral Advertisingcited by 1
  7. 2025BTPD: A Multilingual Hand-curated Dataset of Bengali Transnational Political Discourse Across Online Communitiescited by 0
  8. 2026Paid Voices vs. Public Feeds: Interpretable Cross-Platform Theme-Based Analysis of Climate Discoursecited by 0