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Progress and push-back: How the killings of Ahmaud Arbery, Breonna Taylor, and George Floyd impacted public discourse on race and racism on Twitter
This study examined whether killings of George Floyd, Ahmaud Arbery, and Breonna Taylor by current or former law enforcement officers in 2020 were followed by shifts in public sentiment toward Black people. Methods: Google searches for the names “Ahmaud Arbery,” “Breonna Taylor,” and “George Floyd”...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455860/ https://www.ncbi.nlm.nih.gov/pubmed/34584933 http://dx.doi.org/10.1016/j.ssmph.2021.100922 |
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author | Nguyen, Thu T. Criss, Shaniece Michaels, Eli K. Cross, Rebekah I. Michaels, Jackson S. Dwivedi, Pallavi Huang, Dina Hsu, Erica Mukhija, Krishay Nguyen, Leah H. Yardi, Isha Allen, Amani M. Nguyen, Quynh C. Gee, Gilbert C. |
author_facet | Nguyen, Thu T. Criss, Shaniece Michaels, Eli K. Cross, Rebekah I. Michaels, Jackson S. Dwivedi, Pallavi Huang, Dina Hsu, Erica Mukhija, Krishay Nguyen, Leah H. Yardi, Isha Allen, Amani M. Nguyen, Quynh C. Gee, Gilbert C. |
author_sort | Nguyen, Thu T. |
collection | PubMed |
description | This study examined whether killings of George Floyd, Ahmaud Arbery, and Breonna Taylor by current or former law enforcement officers in 2020 were followed by shifts in public sentiment toward Black people. Methods: Google searches for the names “Ahmaud Arbery,” “Breonna Taylor,” and “George Floyd” were obtained from the Google Health Application Programming Interface (API). Using the Twitter API, we collected a 1% random sample of publicly available U.S. race-related tweets from November 2019–September 2020 (N = 3,380,616). Sentiment analysis was performed using Support Vector Machines, a supervised machine learning model. A qualitative content analysis was conducted on a random sample of 3,000 tweets to understand themes in discussions of race and racism and inform interpretation of the quantitative trends. Results: The highest rate of Google searches for any of the three names was for George Floyd during the week of May 31 to June 6, the week after his murder. The percent of tweets referencing Black people that were negative decreased by 32% (from 49.33% in November 4–9 to 33.66% in June 1–7) (p < 0.001), but this decline was temporary, lasting just a few weeks. Themes that emerged during the content analysis included discussion of race or racism in positive (14%) or negative (38%) tones, call for action related to racism (18%), and counter movement/arguments against racism-related changes (6%). Conclusion: Although there was a sharp decline in negative Black sentiment and increased public awareness of structural racism and desire for long-lasting social change, these shifts were transitory and returned to baseline after several weeks. Findings suggest that negative attitudes towards Black people remain deeply entrenched. |
format | Online Article Text |
id | pubmed-8455860 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-84558602021-09-27 Progress and push-back: How the killings of Ahmaud Arbery, Breonna Taylor, and George Floyd impacted public discourse on race and racism on Twitter Nguyen, Thu T. Criss, Shaniece Michaels, Eli K. Cross, Rebekah I. Michaels, Jackson S. Dwivedi, Pallavi Huang, Dina Hsu, Erica Mukhija, Krishay Nguyen, Leah H. Yardi, Isha Allen, Amani M. Nguyen, Quynh C. Gee, Gilbert C. SSM Popul Health Article This study examined whether killings of George Floyd, Ahmaud Arbery, and Breonna Taylor by current or former law enforcement officers in 2020 were followed by shifts in public sentiment toward Black people. Methods: Google searches for the names “Ahmaud Arbery,” “Breonna Taylor,” and “George Floyd” were obtained from the Google Health Application Programming Interface (API). Using the Twitter API, we collected a 1% random sample of publicly available U.S. race-related tweets from November 2019–September 2020 (N = 3,380,616). Sentiment analysis was performed using Support Vector Machines, a supervised machine learning model. A qualitative content analysis was conducted on a random sample of 3,000 tweets to understand themes in discussions of race and racism and inform interpretation of the quantitative trends. Results: The highest rate of Google searches for any of the three names was for George Floyd during the week of May 31 to June 6, the week after his murder. The percent of tweets referencing Black people that were negative decreased by 32% (from 49.33% in November 4–9 to 33.66% in June 1–7) (p < 0.001), but this decline was temporary, lasting just a few weeks. Themes that emerged during the content analysis included discussion of race or racism in positive (14%) or negative (38%) tones, call for action related to racism (18%), and counter movement/arguments against racism-related changes (6%). Conclusion: Although there was a sharp decline in negative Black sentiment and increased public awareness of structural racism and desire for long-lasting social change, these shifts were transitory and returned to baseline after several weeks. Findings suggest that negative attitudes towards Black people remain deeply entrenched. Elsevier 2021-09-10 /pmc/articles/PMC8455860/ /pubmed/34584933 http://dx.doi.org/10.1016/j.ssmph.2021.100922 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Nguyen, Thu T. Criss, Shaniece Michaels, Eli K. Cross, Rebekah I. Michaels, Jackson S. Dwivedi, Pallavi Huang, Dina Hsu, Erica Mukhija, Krishay Nguyen, Leah H. Yardi, Isha Allen, Amani M. Nguyen, Quynh C. Gee, Gilbert C. Progress and push-back: How the killings of Ahmaud Arbery, Breonna Taylor, and George Floyd impacted public discourse on race and racism on Twitter |
title | Progress and push-back: How the killings of Ahmaud Arbery, Breonna Taylor, and George Floyd impacted public discourse on race and racism on Twitter |
title_full | Progress and push-back: How the killings of Ahmaud Arbery, Breonna Taylor, and George Floyd impacted public discourse on race and racism on Twitter |
title_fullStr | Progress and push-back: How the killings of Ahmaud Arbery, Breonna Taylor, and George Floyd impacted public discourse on race and racism on Twitter |
title_full_unstemmed | Progress and push-back: How the killings of Ahmaud Arbery, Breonna Taylor, and George Floyd impacted public discourse on race and racism on Twitter |
title_short | Progress and push-back: How the killings of Ahmaud Arbery, Breonna Taylor, and George Floyd impacted public discourse on race and racism on Twitter |
title_sort | progress and push-back: how the killings of ahmaud arbery, breonna taylor, and george floyd impacted public discourse on race and racism on twitter |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455860/ https://www.ncbi.nlm.nih.gov/pubmed/34584933 http://dx.doi.org/10.1016/j.ssmph.2021.100922 |
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