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Gender dynamics on Twitter during the 2020 U.S. Democratic presidential primary

The Twitter social network for each of the top five U.S. Democratic presidential candidates in 2020 was analyzed to determine if there were any differences in the treatment of the candidates. This data set was collected from discussions of the presidential primary between December 2019 through April...

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Autores principales: King, Catherine, Carley, Kathleen M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016153/
https://www.ncbi.nlm.nih.gov/pubmed/36937492
http://dx.doi.org/10.1007/s13278-023-01045-4
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author King, Catherine
Carley, Kathleen M.
author_facet King, Catherine
Carley, Kathleen M.
author_sort King, Catherine
collection PubMed
description The Twitter social network for each of the top five U.S. Democratic presidential candidates in 2020 was analyzed to determine if there were any differences in the treatment of the candidates. This data set was collected from discussions of the presidential primary between December 2019 through April 2020. It was then separated into five sets,  one for each candidate. We found that the most discussed candidates, President Biden and Senator Sanders, received by far the most engagement from verified users and news agencies even before the Iowa caucuses, which was ultimately won by Mayor Buttigieg. The most popular candidates were also generally targeted more frequently by bots, trolls, and other aggressive users. However, the abusive language targeting the top two female candidates, Senators Warren and Klobuchar, included slightly more gendered and sexist language compared with the other candidates. Additionally, sexist slurs that ordinarily describe women were used more frequently than male slurs in all candidate data sets. Our results indicate that there may still be an undercurrent of sexist stereotypes permeating the social media conversation surrounding female U.S. presidential candidates.
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spelling pubmed-100161532023-03-15 Gender dynamics on Twitter during the 2020 U.S. Democratic presidential primary King, Catherine Carley, Kathleen M. Soc Netw Anal Min Original Article The Twitter social network for each of the top five U.S. Democratic presidential candidates in 2020 was analyzed to determine if there were any differences in the treatment of the candidates. This data set was collected from discussions of the presidential primary between December 2019 through April 2020. It was then separated into five sets,  one for each candidate. We found that the most discussed candidates, President Biden and Senator Sanders, received by far the most engagement from verified users and news agencies even before the Iowa caucuses, which was ultimately won by Mayor Buttigieg. The most popular candidates were also generally targeted more frequently by bots, trolls, and other aggressive users. However, the abusive language targeting the top two female candidates, Senators Warren and Klobuchar, included slightly more gendered and sexist language compared with the other candidates. Additionally, sexist slurs that ordinarily describe women were used more frequently than male slurs in all candidate data sets. Our results indicate that there may still be an undercurrent of sexist stereotypes permeating the social media conversation surrounding female U.S. presidential candidates. Springer Vienna 2023-03-15 2023 /pmc/articles/PMC10016153/ /pubmed/36937492 http://dx.doi.org/10.1007/s13278-023-01045-4 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
King, Catherine
Carley, Kathleen M.
Gender dynamics on Twitter during the 2020 U.S. Democratic presidential primary
title Gender dynamics on Twitter during the 2020 U.S. Democratic presidential primary
title_full Gender dynamics on Twitter during the 2020 U.S. Democratic presidential primary
title_fullStr Gender dynamics on Twitter during the 2020 U.S. Democratic presidential primary
title_full_unstemmed Gender dynamics on Twitter during the 2020 U.S. Democratic presidential primary
title_short Gender dynamics on Twitter during the 2020 U.S. Democratic presidential primary
title_sort gender dynamics on twitter during the 2020 u.s. democratic presidential primary
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016153/
https://www.ncbi.nlm.nih.gov/pubmed/36937492
http://dx.doi.org/10.1007/s13278-023-01045-4
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