Police Brutality and Racial Justice Narratives Through Multi-Narrative Framing: Reporting and Commenting on the George Floyd Murder on YouTube

Canevez, Richard; Karabelnik, Moshe; Winter, Jenifer Sunrise

doi:10.1177/10776990221108722

Cited by 2 publications

(2 citation statements)

References 46 publications

(73 reference statements)

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“…There are many studies of George Floyd’s last encounter with police, including discourse analyses of news reports ( 34 , 35 ), official press conferences ( 36 ), and responses by academic organizations ( 37 , 38 ). There are even studies of how Black and White parents talked to their children about race before and after George Floyd’s death ( 39 ).…”

Section: Discussionmentioning

confidence: 99%

Escalated police stops of Black men are linguistically and psychologically distinct in their earliest moments

Rho

Harrington

Zhong

et al. 2023

Proc. Natl. Acad. Sci. U.S.A.

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Across the United States, police chiefs, city officials, and community leaders alike have highlighted the need to de-escalate police encounters with the public. This concern about escalation extends from encounters involving use of force to routine car stops, where Black drivers are disproportionately pulled over. Yet, despite the calls for action, we know little about the trajectory of police stops or how escalation unfolds. In study 1, we use methods from computational linguistics to analyze police body-worn camera footage from 577 stops of Black drivers. We find that stops with escalated outcomes (those ending in arrest, handcuffing, or a search) diverge from stops without these outcomes in their earliest moments—even in the first 45 words spoken by the officer. In stops that result in escalation, officers are more likely to issue commands as their opening words to the driver and less likely to tell drivers the reason why they are being stopped. In study 2, we expose Black males to audio clips of the same stops and find differences in how escalated stops are perceived: Participants report more negative emotion, appraise officers more negatively, worry about force being used, and predict worse outcomes after hearing only the officer’s initial words in escalated versus non-escalated stops. Our findings show that car stops that end in escalated outcomes sometimes begin in an escalated fashion, with adverse effects for Black male drivers and, in turn, police–community relations.

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Section: Discussionmentioning

confidence: 99%

Escalated police stops of Black men are linguistically and psychologically distinct in their earliest moments

Rho

Harrington

Zhong

et al. 2023

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

show abstract

“…The public's response to the incident was polarized, with support for defunding the police being influenced by political views, group identification, and perceptions of systemic racism (Jackson, 2023). This murder case received extensive media coverage with different perspectives, each media presenting the social actors and events differently (Canevez et al, 2022). Three CDA studies have been conducted on this topic, each using a different approach.…”

Section: Introductionmentioning

confidence: 99%

Corpus-assisted CDA of George Floyd’s Murder Reports on CNN and Aljazeera

Putri,

Mardiah

2024

Arbitrer

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In 2020, one news that shook the world was the murder of an Afro-American named George Floyd by Minneapolis police officers. This study focuses on the media coverage of George Floyd’s murder case by two news outlets, CNN and Aljazeera. We used a Corpus-assisted Critical Discourse Analysis (CACDA) technique to compare how each news outlet portrayed the social actors involved in the incident and to identify if any social actors were excluded from the reporting, eventually revealing which side each media was inclined to. The analysis was based on Theo Van Leeuwen’s theory and utilized the Antconc application. The data used in this study consists of ten news articles, five from CNN and Aljazeera, published between May and July 2020. A literature study was conducted to collect the data. The Antconc corpus-processing application was then used to process the large amount of data collected, enabling quick, extensive, and comprehensive analysis. We uploaded all ten articles to the Antconc application and used the frequency feature to identify the five most used words in the ten news articles. The top five words were further analyzed using van Leeuwen’s critical discourse analysis, excluding irrelevant particles. The result shows that CNN aligned with the police and Aljazeera aligned with Floyd. By the ideological stances of CNN and Aljazeera, readers can become more aware of potential biases in news articles concerning George Floyd’s murder.

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Police Brutality and Racial Justice Narratives Through Multi-Narrative Framing: Reporting and Commenting on the George Floyd Murder on YouTube

Cited by 2 publications

References 46 publications

Escalated police stops of Black men are linguistically and psychologically distinct in their earliest moments

Escalated police stops of Black men are linguistically and psychologically distinct in their earliest moments

Corpus-assisted CDA of George Floyd’s Murder Reports on CNN and Aljazeera

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