A comparative content analysis of newspaper coverage about extreme risk protection order policies in passing and non-passing US states
Year: 2022
Type: article
Abstract: BACKGROUND: Extreme risk protection order (ERPO) laws are a tool for firearm violence prevention (in effect in 19 states), often enacted in the wake of a public mass shooting when media coverage of gun violence tends to spike. We compared news media framing of ERPOs in states that passed and those that considered but did not pass such laws after the 2018 mass shooting in Parkland, Florida. METHODS: We conducted a content analysis of 244 newspaper articles about ERPOs, published in 2018, in three passing (FL, VT, RI) and three non-passing states (PA, OH, CO). Measures included language used, stakeholders mentioned, and scientific evidence cited. We use chi-square tests to compare the proportion of articles with each measure of interest in passing versus non-passing states. RESULTS: Compared to newspaper coverage of non-passing states, news articles about ERPOs in passing states more often used only official policy names for ERPOs (38% vs. 23%, p = .03), used less restrictive language such as "prevent" to describe the process of suspending firearm access (15% vs. 3%, p < .01), mentioned gun violence prevention advocacy groups (41% vs. 28%, p = .08), and referenced research on ERPOs (17% vs. 7%, p = .03). Articles about passing states also more often explicitly stated that a violent event was or could have been prevented by an ERPO (20% vs. 6%, p < .01). CONCLUSIONS: Media messaging that frames gun violence as preventable, emphasizes identifiable markers of risk, and draws on data in conjunction with community wisdom may support ERPO policy passage. As more states consider ERPO legislation, especially given endorsement by the Biden-Harris administration, deeper knowledge about successful media framing of these life-saving policies can help shape public understandings and support.
Source: BMC Public Health
Language: English
Subfield: Health
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,790
Awards: G1619095500, G1835372072, G2492535003, Supporting Patients' Fateful Decisions About Cardiovascular Therapies: Improved Models of Personal Values Clarification, Decision Support for Older and Frail Patients Considering Advanced Cardiovascular Therapies: Improving Models of Personal Values Clarification, G8262091683, G849579699
OpenAlex ID: W4280507930
