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The geography of sentiment towards the Women’s March of 2017
The Women’s March of 2017 generated unprecedented levels of participation in the largest, single day, protest in history to date. The marchers protested the election of President Donald Trump and rallied in support of several civil issues such as women’s rights. “Sister marches” evolved in at least...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7272063/ https://www.ncbi.nlm.nih.gov/pubmed/32497125 http://dx.doi.org/10.1371/journal.pone.0233994 |
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author | Felmlee, Diane H. Blanford, Justine I. Matthews, Stephen A. MacEachren, Alan M. |
author_facet | Felmlee, Diane H. Blanford, Justine I. Matthews, Stephen A. MacEachren, Alan M. |
author_sort | Felmlee, Diane H. |
collection | PubMed |
description | The Women’s March of 2017 generated unprecedented levels of participation in the largest, single day, protest in history to date. The marchers protested the election of President Donald Trump and rallied in support of several civil issues such as women’s rights. “Sister marches” evolved in at least 680 locations across the United States. Both positive and negative reactions to the March found their way into social media, with criticism stemming from certain, conservative, political sources and other groups. In this study, we investigate the extent to which this notable, historic event influenced sentiment on Twitter, and the degree to which responses differed by geographic area within the continental U.S. Tweets about the event rose to an impressive peak of over 12% of all geo-located tweets by mid-day of the March, Jan. 21. Messages included in tweets associated with the March tended to be positive in sentiment, on average, with a mean of 0.34 and a median of 0.07 on a scale of -4 to +4. In fact, tweets associated with the March were more positive than all other geo-located tweets during the day of the March. Exceptions to this pattern of positive sentiment occurred only in seven metropolitan areas, most of which involved very small numbers of tweets. Little evidence surfaced of extensive patterns of negative, aggressive messages towards the event in this set of tweets. Given the widespread nature of online harassment and sexist tweets, more generally, the results are notable. In sum, online reactions to the March on this social media platform suggest that this modern arm of the Women’s Movement received considerable, virtual support across the country. |
format | Online Article Text |
id | pubmed-7272063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-72720632020-06-09 The geography of sentiment towards the Women’s March of 2017 Felmlee, Diane H. Blanford, Justine I. Matthews, Stephen A. MacEachren, Alan M. PLoS One Research Article The Women’s March of 2017 generated unprecedented levels of participation in the largest, single day, protest in history to date. The marchers protested the election of President Donald Trump and rallied in support of several civil issues such as women’s rights. “Sister marches” evolved in at least 680 locations across the United States. Both positive and negative reactions to the March found their way into social media, with criticism stemming from certain, conservative, political sources and other groups. In this study, we investigate the extent to which this notable, historic event influenced sentiment on Twitter, and the degree to which responses differed by geographic area within the continental U.S. Tweets about the event rose to an impressive peak of over 12% of all geo-located tweets by mid-day of the March, Jan. 21. Messages included in tweets associated with the March tended to be positive in sentiment, on average, with a mean of 0.34 and a median of 0.07 on a scale of -4 to +4. In fact, tweets associated with the March were more positive than all other geo-located tweets during the day of the March. Exceptions to this pattern of positive sentiment occurred only in seven metropolitan areas, most of which involved very small numbers of tweets. Little evidence surfaced of extensive patterns of negative, aggressive messages towards the event in this set of tweets. Given the widespread nature of online harassment and sexist tweets, more generally, the results are notable. In sum, online reactions to the March on this social media platform suggest that this modern arm of the Women’s Movement received considerable, virtual support across the country. Public Library of Science 2020-06-04 /pmc/articles/PMC7272063/ /pubmed/32497125 http://dx.doi.org/10.1371/journal.pone.0233994 Text en © 2020 Felmlee et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Felmlee, Diane H. Blanford, Justine I. Matthews, Stephen A. MacEachren, Alan M. The geography of sentiment towards the Women’s March of 2017 |
title | The geography of sentiment towards the Women’s March of 2017 |
title_full | The geography of sentiment towards the Women’s March of 2017 |
title_fullStr | The geography of sentiment towards the Women’s March of 2017 |
title_full_unstemmed | The geography of sentiment towards the Women’s March of 2017 |
title_short | The geography of sentiment towards the Women’s March of 2017 |
title_sort | geography of sentiment towards the women’s march of 2017 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7272063/ https://www.ncbi.nlm.nih.gov/pubmed/32497125 http://dx.doi.org/10.1371/journal.pone.0233994 |
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