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 manual annotation, and difficulty in modeling future ideological inclinations. To address these issues, we propose TSN4PI, a unified framework for tracking the evolution of political ideologies on social media. It includes two core modules. The PIDN uses large language models with style transfer and unsupervised domain a
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 49%How should I approach training this specific ML model for my startup project [D] →
- PossiblePossibly related (embedding) · 48%Artificial Intelligence Being Used In Political Campaigns Globally | ABC News Cpi (m289M6n6zR) - Mshale →
- PossiblePossibly related (embedding) · 48%Large Language Models Are Still Getting Stronger, but Researchers Face New Bottlenecks in Data, Evaluation, and Safety | Newswise - Newswise →
- PossiblePossibly related (embedding) · 47%Are LLMs Stifling Political Speech? An Assessment of How AI Models Protect Free Expression - The Oversight Board →
- FuzzyOverlapping authors or contributors · 62%bytedance/deer-flow →
“Shared author/contributor keys: wang”
- FuzzyOverlapping authors or contributors · 62%ray-project/ray →
“Shared author/contributor keys: wang”
- LinkedLinked via arxiv author · 85%Yijie Xu →
“Against Political Polarization: A Unified Framework for Tracing Evolving Political Ideologies on Social Media”
- LinkedLinked via arxiv author · 85%Xinchao Wang →
“Against Political Polarization: A Unified Framework for Tracing Evolving Political Ideologies on Social Media”