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CHECKED: Chinese COVID-19 fake news dataset
COVID-19 has impacted all lives. To maintain social distancing and avoiding exposure, works and lives have gradually moved online. Under this trend, social media usage to obtain COVID-19 news has increased. Also, misinformation on COVID-19 is frequently spread on social media. In this work, we devel...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8217979/ https://www.ncbi.nlm.nih.gov/pubmed/34178179 http://dx.doi.org/10.1007/s13278-021-00766-8 |
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author | Yang, Chen Zhou, Xinyi Zafarani, Reza |
author_facet | Yang, Chen Zhou, Xinyi Zafarani, Reza |
author_sort | Yang, Chen |
collection | PubMed |
description | COVID-19 has impacted all lives. To maintain social distancing and avoiding exposure, works and lives have gradually moved online. Under this trend, social media usage to obtain COVID-19 news has increased. Also, misinformation on COVID-19 is frequently spread on social media. In this work, we develop CHECKED, the first Chinese dataset on COVID-19 misinformation. CHECKED provides a total 2,104 verified microblogs related to COVID-19 from December 2019 to August 2020, identified by using a specific list of keywords. Correspondingly, CHECKED includes 1,868,175 reposts, 1,185,702 comments, and 56,852,736 likes that reveal how these verified microblogs are spread and reacted on Weibo. The dataset contains a rich set of multimedia information for each microblog including ground-truth label, textual, visual, temporal, and network information. Extensive experiments have been conducted to analyze CHECKED data and to provide benchmark results for well-established methods when predicting fake news using CHECKED. We hope that CHECKED can facilitate studies that target misinformation on coronavirus. The dataset is available at https://github.com/cyang03/CHECKED. |
format | Online Article Text |
id | pubmed-8217979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-82179792021-06-23 CHECKED: Chinese COVID-19 fake news dataset Yang, Chen Zhou, Xinyi Zafarani, Reza Soc Netw Anal Min Original Article COVID-19 has impacted all lives. To maintain social distancing and avoiding exposure, works and lives have gradually moved online. Under this trend, social media usage to obtain COVID-19 news has increased. Also, misinformation on COVID-19 is frequently spread on social media. In this work, we develop CHECKED, the first Chinese dataset on COVID-19 misinformation. CHECKED provides a total 2,104 verified microblogs related to COVID-19 from December 2019 to August 2020, identified by using a specific list of keywords. Correspondingly, CHECKED includes 1,868,175 reposts, 1,185,702 comments, and 56,852,736 likes that reveal how these verified microblogs are spread and reacted on Weibo. The dataset contains a rich set of multimedia information for each microblog including ground-truth label, textual, visual, temporal, and network information. Extensive experiments have been conducted to analyze CHECKED data and to provide benchmark results for well-established methods when predicting fake news using CHECKED. We hope that CHECKED can facilitate studies that target misinformation on coronavirus. The dataset is available at https://github.com/cyang03/CHECKED. Springer Vienna 2021-06-22 2021 /pmc/articles/PMC8217979/ /pubmed/34178179 http://dx.doi.org/10.1007/s13278-021-00766-8 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Yang, Chen Zhou, Xinyi Zafarani, Reza CHECKED: Chinese COVID-19 fake news dataset |
title | CHECKED: Chinese COVID-19 fake news dataset |
title_full | CHECKED: Chinese COVID-19 fake news dataset |
title_fullStr | CHECKED: Chinese COVID-19 fake news dataset |
title_full_unstemmed | CHECKED: Chinese COVID-19 fake news dataset |
title_short | CHECKED: Chinese COVID-19 fake news dataset |
title_sort | checked: chinese covid-19 fake news dataset |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8217979/ https://www.ncbi.nlm.nih.gov/pubmed/34178179 http://dx.doi.org/10.1007/s13278-021-00766-8 |
work_keys_str_mv | AT yangchen checkedchinesecovid19fakenewsdataset AT zhouxinyi checkedchinesecovid19fakenewsdataset AT zafaranireza checkedchinesecovid19fakenewsdataset |