Against Political Polarization: A Unified Framework for Tracing Evolving Political Ideologies on Social Media
Researchers have developed a framework called TSN4PI to track how people's political beliefs change over time on social media. The system uses large language models to identify relevant content and filter out irrelevant information. It also predicts future shifts in ideology using temporal graph neural networks. The researchers tested the framework on multiple platforms, including X and Truth Social, and found that it can provide a nuanced understanding of how people's belief
Researchers have developed a framework called TSN4PI to track how people's political beliefs change over time on social media. The system uses large language models to identify relevant content and filter out irrelevant information. It also predicts future shifts in ideology using temporal graph neural networks. The researchers tested the framework on multiple platforms, including X and Truth Social, and found that it can provide a nuanced understanding of how people's beliefs evolve online.
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Why it matters: This matters because social media has become a crucial platform for political discourse, but it's challenging to understand how people's ideologies change over time. TSN4PI provides a tool for researchers to analyze these changes, which could help policymakers and platform owners address issues like polarization and misinformation.
Source: https://arxiv.org/abs/2608.17987
This article was originally published at: https://arxiv.org/abs/2608.17987