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A cross-lingual analysis on the spread of misinformation using the case of Ivermectin as a treatment for Covid-19
The spread of misinformation transgresses international boundaries, between languages and cultures. This is especially evident in times of global crises such as the Covid-19 pandemic. This study observes misinformation on Twitter in the Japanese and English languages regarding false claims that the...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482930/ https://www.ncbi.nlm.nih.gov/pubmed/37673903 http://dx.doi.org/10.1038/s41598-023-41760-8 |
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author | Lai, Cameron Toriumi, Fujio Yoshida, Mitsuo |
author_facet | Lai, Cameron Toriumi, Fujio Yoshida, Mitsuo |
author_sort | Lai, Cameron |
collection | PubMed |
description | The spread of misinformation transgresses international boundaries, between languages and cultures. This is especially evident in times of global crises such as the Covid-19 pandemic. This study observes misinformation on Twitter in the Japanese and English languages regarding false claims that the drug Ivermectin is an effective treatment for Covid-19. Our exploratory cross-lingual analysis identifies key themes of discussion and influential users in both languages, finding English misinformation to be highly popular amongst Japanese users. Significantly, an analysis of the timing of retweets between languages reveals that Japanese users find and widely share English misinformation often before English users themselves. This contradicts expectations that users from other languages tend to pick up on popular misinformation in English. Instead, they seek out English language sources irrespective of their popularity to support their agenda. These results emphasise the importance of cross-lingual mitigation strategies for organizations trying to combat misinformation, and that they must look beyond their own language spheres. |
format | Online Article Text |
id | pubmed-10482930 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104829302023-09-08 A cross-lingual analysis on the spread of misinformation using the case of Ivermectin as a treatment for Covid-19 Lai, Cameron Toriumi, Fujio Yoshida, Mitsuo Sci Rep Article The spread of misinformation transgresses international boundaries, between languages and cultures. This is especially evident in times of global crises such as the Covid-19 pandemic. This study observes misinformation on Twitter in the Japanese and English languages regarding false claims that the drug Ivermectin is an effective treatment for Covid-19. Our exploratory cross-lingual analysis identifies key themes of discussion and influential users in both languages, finding English misinformation to be highly popular amongst Japanese users. Significantly, an analysis of the timing of retweets between languages reveals that Japanese users find and widely share English misinformation often before English users themselves. This contradicts expectations that users from other languages tend to pick up on popular misinformation in English. Instead, they seek out English language sources irrespective of their popularity to support their agenda. These results emphasise the importance of cross-lingual mitigation strategies for organizations trying to combat misinformation, and that they must look beyond their own language spheres. Nature Publishing Group UK 2023-09-06 /pmc/articles/PMC10482930/ /pubmed/37673903 http://dx.doi.org/10.1038/s41598-023-41760-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 | Article Lai, Cameron Toriumi, Fujio Yoshida, Mitsuo A cross-lingual analysis on the spread of misinformation using the case of Ivermectin as a treatment for Covid-19 |
title | A cross-lingual analysis on the spread of misinformation using the case of Ivermectin as a treatment for Covid-19 |
title_full | A cross-lingual analysis on the spread of misinformation using the case of Ivermectin as a treatment for Covid-19 |
title_fullStr | A cross-lingual analysis on the spread of misinformation using the case of Ivermectin as a treatment for Covid-19 |
title_full_unstemmed | A cross-lingual analysis on the spread of misinformation using the case of Ivermectin as a treatment for Covid-19 |
title_short | A cross-lingual analysis on the spread of misinformation using the case of Ivermectin as a treatment for Covid-19 |
title_sort | cross-lingual analysis on the spread of misinformation using the case of ivermectin as a treatment for covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482930/ https://www.ncbi.nlm.nih.gov/pubmed/37673903 http://dx.doi.org/10.1038/s41598-023-41760-8 |
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