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The evolution and governance of online rumors during the public health emergency: taking COVID-19 pandemic related rumors as an example
Published in Jiuping Xu, Syed Ejaz Ahmed, Zongmin Li, Big Data and Information Theory, 2022
As the most popular platform in China, Sina Weibo has 511 million monthly active users and 224 million daily active users by September 2020. Different from the China Internet Joint Rumor Refuting Platform and Baidu Rumor Refuting Platform, Sina Weibo not only allows official accounts to publish rumor-refuting microblogs, but also allows people to repost, comment and give thumbs up, which can reflect the changes of public concerns based on content mining. Therefore, this paper took Sina Weibo as the data source, retrieves key words included ‘COVID-19’, ‘novel coronavirus’, ‘CoV’ and so on.
Situational awareness extraction: a comprehensive review of social media data classification during natural hazards
Published in Annals of GIS, 2021
Jirapa Vongkusolkit, Qunying Huang
Of the reviewed studies, datasets generated various social media platforms are collected and classified, such as Twitter, Sina-Weibo, Facebook, LinkedIn, YouTube, wikis, discussion forums (e.g., Reddit, Tianya), and blogs (e.g., Blogspot, LiveJournal). Specifically, the majority (64%) of the studies used Twitter for content classification Figure 3a. Twitter is a microblogging platform used by large segments of the population that allows users to write brief text updates and share them with an audience online, which explains why it is popular for content classification. Sina-Weibo is often called the ‘Chinese Twitter,’ and is one of the biggest microblogging platforms in China. Unlike blogging sites that generally have no word limit and updates according to the blogger, microblogging sites usually limit each post to 140 to 150 words and updates in real-time. Flickr is a photo-sharing platform where users share images or videos online rather than text updates. Reddit is a social news and social network site like Facebook, where users can upload content such as links, text posts, and images and start a discussion that other users would then upvote, downvote, and/or comment. Lastly, Tianya is a Chinese internet forum where people can hold discussions online. Most studies use microblogging platforms for content classification since users can casually provide day to day activity updates to other users.
The evolution and governance of online rumors during the public health emergency: taking COVID-19 pandemic related rumors as an example
Published in International Journal of Management Science and Engineering Management, 2022
As the most popular platform in China, Sina Weibo has 511 million monthly active users and 224 million daily active users by September 2020. Different from the China Internet Joint Rumor Refuting Platform and Baidu Rumor Refuting Platform, Sina Weibo not only allows official accounts to publish rumor-refuting microblogs, but also allows people to repost, comment and give thumbs up, which can reflect the changes of public concerns based on content mining. Therefore, this paper took Sina Weibo as the data source, retrieves key words included ‘COVID-19’, ‘novel coronavirus’, ‘CoV’ and so on.
A new emergency management dynamic value assessment model based on social media data: a multiphase decision-making perspective
Published in Enterprise Information Systems, 2020
Siqing Shan, Xiaohui Liu, Yigang Wei, Lida Xu, Baishang Zhang, Lei Yu
According to the third-quarter financial report released by Sina in 2018, as of September 30, Weibo’s monthly active users reached 446 million, maintaining a net annual growth of 70 million, and the daily active users increased to 195 million (Sina Weibo, http://ir.weibo.com/, accessed 29 July 2019). Sina Weibo is considered as China’s Twitter.