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      Measuring criticism of the police in the local news media using large language models

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          Abstract

          High-profile incidents of police violence against Black citizens over the past decade have spawned contentious debates in the United States on the role of police. This debate has played out prominently in the news media, leading to a perception that media outlets have become more critical of the police. There is currently, however, little empirical evidence supporting this perceived shift. We construct a large dataset of local news reporting on the police from 2013 to 2023 in 10 politically diverse U.S. cities. Leveraging advanced language models, we measure criticism by analyzing whether reporting supports or is critical of two contentions: 1) that the police protect citizens and 2) that the police are racist. To validate this approach, we collect labels from members of different political parties. We find that contrary to public perceptions, local media criticism of the police has remained relatively stable along these two dimensions over the past decade. While criticism spiked in the aftermath of high-profile police killings, such as George Floyd’s murder, these events did not produce sustained increases in negative police news. In fact, reporting supportive of police effectiveness has increased slightly since Floyd’s death. We find only small differences in coverage trends in more conservative and more liberal cities, undermining the idea that local outlets cater to the politics of their audiences. Last, although Republicans are more likely to view a piece of news as supportive of the police than Democrats, readers across parties see reporting as no more critical than it was a decade ago.

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          Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk

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            Politicization and Polarization in COVID-19 News Coverage

            This study examines the level of politicization and polarization in COVID-19 news in U.S. newspapers and televised network news from March to May 2020. Using multiple computer-assisted content analytic approaches, we find that newspaper coverage is highly politicized, network news coverage somewhat less so, and both newspaper and network news coverage are highly polarized. We find that politicians appear in newspaper coverage more frequently than scientists, whereas politicians and scientists are more equally featured in network news. We suggest that the high degree of politicization and polarization in initial COVID-19 coverage may have contributed to polarization in U.S. COVID-19 attitudes.
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                Journal
                Proceedings of the National Academy of Sciences
                Proc. Natl. Acad. Sci. U.S.A.
                Proceedings of the National Academy of Sciences
                0027-8424
                1091-6490
                March 04 2025
                February 25 2025
                March 04 2025
                : 122
                : 9
                Article
                10.1073/pnas.2418821122
                4d9ac9b0-7580-45d5-a1be-3af1144fcc5b
                © 2025

                https://creativecommons.org/licenses/by-nc-nd/4.0/

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