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<p>The tragic school shooting in Uvalde, Texas in 2022 reignited attention to gun violence and school safety and was followed shortly after by what has been described as the most significant federal gun legislation in decades. This study leveraged natural language processing techniques to identify topics in the social media discourse around the shooting in the month after the shooting and prior to the passage of the federal Bipartisan Safer Communities Act. Leveraging Multiple Streams Framework, analysis of the content of the social media discourse revealed multiple problem definitions and proposed policy solutions but a central focus on gun violence. The variation in public discourse provided evidence of the political necessity of compromise in federal legislation, suggesting a path for future school safety policy.</p>

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Social Media Discourse Around School Shootings: Application of Natural Language Processing to Understand the Case of Uvalde

  • 期刊论文

  • 发表日期：

    2025年6月11日

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  • F. Chris Curran

摘要

The tragic school shooting in Uvalde, Texas in 2022 reignited attention to gun violence and school safety and was followed shortly after by what has been described as the most significant federal gun legislation in decades. This study leveraged natural language processing techniques to identify topics in the social media discourse around the shooting in the month after the shooting and prior to the passage of the federal Bipartisan Safer Communities Act. Leveraging Multiple Streams Framework, analysis of the content of the social media discourse revealed multiple problem definitions and proposed policy solutions but a central focus on gun violence. The variation in public discourse provided evidence of the political necessity of compromise in federal legislation, suggesting a path for future school safety policy.