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This study examines the relationship between election news frames and online political hostility using approximately 200,000 news stories and 24 million comments from the 2022 South Korean presidential election. Applying computational text analysis and a deep learning model, we categorized news frames into strategy and issue frames and analyzed their associations with political hostility and incitement to hostility in comments. Results show that strategy frames are associated with higher rates of both, with candidate-centered coverage showing stronger associations than horse-race coverage. Implications of these results are discussed.
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Ryu et al. (2026) studied this question.
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