Valence measurement may be used to gauge feedback, yet a thorough understanding remains an ongoing pursuit, particularly when viewed through the emotional lens of trust. This research advances this perspective by showcasing its efficacy in classifying arguments about gun legislation, specifically in its successful alignment with legislative outcomes. The study conducts a comparative analysis of floor speeches by Senate members concerning gun legislation in the aftermath of the Sandy Hook and the Uvalde school shootings from 2013, 2014, and 2022. The examination reveals that terms associated with valence may serve as collaboration indicators. Notably, the valence showed a significant difference between the two means. This exploratory study is limited by a small sample size in the Uvalde and Sandy Hook debates (n = 82 and n = 62, respectively). Also, unbalanced representation in the speeches may restrict the broad generalization of the analysis. However, it does suggest further study utilizing resources such as those in the C-SPAN Video Archives.

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Trust as a Classification Tool: Analyzing Collaboration in Senate Floor Speeches on Gun Legislation Post-Uvalde and Sandy Hook

  • William Ledbetter

摘要

Valence measurement may be used to gauge feedback, yet a thorough understanding remains an ongoing pursuit, particularly when viewed through the emotional lens of trust. This research advances this perspective by showcasing its efficacy in classifying arguments about gun legislation, specifically in its successful alignment with legislative outcomes. The study conducts a comparative analysis of floor speeches by Senate members concerning gun legislation in the aftermath of the Sandy Hook and the Uvalde school shootings from 2013, 2014, and 2022. The examination reveals that terms associated with valence may serve as collaboration indicators. Notably, the valence showed a significant difference between the two means. This exploratory study is limited by a small sample size in the Uvalde and Sandy Hook debates (n = 82 and n = 62, respectively). Also, unbalanced representation in the speeches may restrict the broad generalization of the analysis. However, it does suggest further study utilizing resources such as those in the C-SPAN Video Archives.