Weakly Supervised Learning for Analyzing Political Campaigns on Facebook
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.
Code (1)
Tasks
Weakly-supervised LearningSimilar Papers 제목 키워드 기반
Facebook Ads Monitor: An Independent Auditing System for Political Ads on Facebook
The 2016 United States presidential election was marked by the abuse of targeted advertising on Facebook. Concerned with the risk of the same kind of abuse to happen in the 2018 Brazilian elections, we designed and deplo…
Word EmbeddingsSpotting Persuasion: A Low-cost Model for Persuasion Detection in Political Ads on Social Media
In the realm of political advertising, persuasion operates as a pivotal element within the broader framework of propaganda, exerting profound influences on public opinion and electoral outcomes. In this paper, we (1) int…
Text DetectionWeakly Supervised Learning of Nuanced Frames for Analyzing Polarization in News Media
In this paper we suggest a minimally-supervised approach for identifying nuanced frames in news article coverage of politically divisive topics. We suggest to break the broad policy frames suggested by Boydstun et al., 2…
Weakly-supervised LearningUncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy
The widespread use of social media has led to a surge in popularity for automated methods of analyzing public opinion. Supervised methods are adept at text categorization, yet the dynamic nature of social media discussio…
Text CategorizationDetection of Negative Campaign in Israeli Municipal Elections
Political competitions are complex settings where candidates use campaigns to promote their chances to be elected. One choice focuses on conducting a positive campaign that highlights the candidate’s achievements, leader…
Transfer Learning