“…More than 394,000,000 postings were collected from China’s most popular social media website, Sina Weibo. 1000 randomly selected depression-related postings was coded and analyzed to learn the themes of these postings, and a text classifier was built to identify the postings indicating depression. …”
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“…This study examines anxiety-related postings on Sina Weibo to gain insight into social networking about mental health. …”
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“…Finally, the experimental results on Sina Weibo dataset have demonstrated the effectiveness of our methods.…”
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“…We, thus, examined provincial variations in the uniqueness of nicknames among more than 13 million Sina Weibo users. Initially, the nickname uniqueness indicator was set at the provincial level. …”
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“…METHODS: From April 2018 to March 2022, 325,807 Sina Weibo posts with the keyword “anxiety disorder” were collected and analyzed. …”
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“…Sina Weibo is a Twitter-like social networking site and one of the most popular microblogging services in China. …”
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“…OBJECTIVE: This study aims to consider livestreamed suicide as a typical representative of cybersuicide and use social media data (Sina Weibo) to investigate the differences in stigmatizing attitudes across cybersuicides and offline suicides in terms of attitude types and linguistic characteristics. …”
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“…In this study, we used machine-learning algorithms to extract text features from Sina Weibo data and built a suicide risk-prediction model to predict four dimensions of the Suicide Possibility Scale—hopelessness, suicidal ideation, negative self-evaluation, and hostility—all with model validity of 0.34 or higher. …”
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“…In this study, we obtained Sina Weibo big data for period 2010–2020 to overcome the limitation of previous work. …”
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“…Therefore, this paper uses the data from Sina Weibo to analyze the reasons for the poor garbage classification effect. …”
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“…We focus on how COVID-19 has influenced the attention dynamics on the biggest Chinese microblogging website Sina Weibo during the first four months of the pandemic. …”
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“…This study focuses on the online disinformation about tobacco and the COVID-19 on the Sina Weibo, the Chinese largest new media microblog platform. …”
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“…METHOD: A content analysis was conducted with 902 posts about depression randomly selected within a three-year period (2014 to 2016) on the mainstream social media platform in China, Sina Weibo. Posts were analyzed with a focus on attributions of and solutions to depression, attitudes towards depression, and efficacy indicated by the posts across various information sources. …”
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“…RESULTS: We crawled 20,799 Sina Weibo messages and selected 389 health-promoting messages for this study. …”
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“…This study establishes a fine-grained emotion-classification model to annotate the emotions of 32,698 Sina Weibo posts related to COVID-19 prevention and control from July 2022 to August 2022. …”
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“…This research gathered and analyzed Sina Weibo post information and user information related to TGS to investigate the changing trend of attention status and emotional orientation of the Chinese public on TGS. …”
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“…We investigated online disinformation about angiotensin-converting enzyme inhibitors (ACEI)/angiotensin receptor blocker (ARB) drugs and their relationship to COVID-19 on Sina Weibo. METHODS: We searched for posts related to the pandemic from its beginning in December 2019 to 19 January 2021. …”
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“…Using 6.3 million items of textual data extracted from the official news media and Sina Weibo blogsite, we develop two COVID-19 sentiment indices that capture the moods related to COVID-19. …”
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