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arXiv · 2601.04207

Ideology as a Problem: Lightweight Logit Steering for Annotator-Specific Alignment in Social Media Analysis

Wei Xia·Haowen Tang·Luozheng Li
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Abstract

LLMs internally organize political ideology along low-dimensional structures that are partially, but not fully aligned with human ideological space. This misalignment is systematic, model specific, and measurable. We introduce a lightweight linear probe that both quantifies the misalignment and minimally corrects the output layer. This paper introduces a simple and efficient method for aligning models with specific user opinions. Instead of retraining the model, we calculated a bias score from its internal features and directly adjusted the final output probabilities. This solution is practical and low-cost and preserves the original reasoning power of the model.

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Wei Xia, Haowen Tang, Luozheng Li. 2025-12-08. Ideology as a Problem: Lightweight Logit Steering for Annotator-Specific Alignment in Social Media Analysis. https://arxiv.org/abs/2601.04207

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