The paper introduces the Elite Polarization Score, an LLM-driven measure of directed out-party negativity extracted from parliamentary speeches in the UK, Hungary, and Italy that is shown to be distinct from existing polarization concepts.
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4 Pith papers cite this work. Polarity classification is still indexing.
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Substantive LLM reframing boosts cross-partisan receptivity to news headlines without backfire, but models overestimate effect sizes and lack fidelity in modeling human psychological responses.
Republican posts are more toxic than Democratic ones, but Democratic content draws more toxic replies due to higher volume of Republican cross-partisan engagement.
Social media research yields inconclusive causal findings due to system complexity, and progress requires mechanistic explanations that integrate observational and experimental approaches while recognizing their shared limitations.
citing papers explorer
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Elite Polarization in European Parliamentary Speeches: a Novel Measurement Approach Using Large Language Models
The paper introduces the Elite Polarization Score, an LLM-driven measure of directed out-party negativity extracted from parliamentary speeches in the UK, Hungary, and Italy that is shown to be distinct from existing polarization concepts.
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Can AI Debias the News? LLM Interventions Improve Cross-Partisan Receptivity but LLMs Overestimate Their Own Effectiveness
Substantive LLM reframing boosts cross-partisan receptivity to news headlines without backfire, but models overestimate effect sizes and lack fidelity in modeling human psychological responses.
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"F*** You Biden": Cross-Partisan Electoral Toxicity on X
Republican posts are more toxic than Democratic ones, but Democratic content draws more toxic replies due to higher volume of Republican cross-partisan engagement.
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Moving towards informative and actionable social media research
Social media research yields inconclusive causal findings due to system complexity, and progress requires mechanistic explanations that integrate observational and experimental approaches while recognizing their shared limitations.