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New framework tracks evolving political ideologies on social media

Researchers have developed TSN4PI, a new framework designed to track the evolution of political ideologies on social media platforms. This system utilizes large language models for robust ideology detection and content filtering, alongside temporal graph neural networks to predict future ideological shifts. The framework aims to overcome challenges like data scarcity and the cost of manual annotation. Two datasets are being released for non-commercial research, with case studies on X and Truth Social demonstrating TSN4PI's effectiveness in analyzing political polarization. AI

IMPACT This framework could offer deeper insights into online political discourse and polarization.

RANK_REASON The item describes a new framework and datasets for analyzing political ideologies on social media, which falls under research. [lever_c_demoted from research: ic=1 ai=0.4]

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New framework tracks evolving political ideologies on social media

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  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Against Political Polarization: A Unified Framework for Tracing Evolving Political Ideologies on Social Media

    The rapid growth of social media has greatly influenced political discourse, highlighting the need to understand individual political ideologies and their temporal dynamics. This task faces challenges such as data scarcity, abundant non-political content, costly and bias-prone ma…