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Research on sentiment index and real estate demand forecasting based on BERT-BiLSTM and ADL-MIDAS models. [PDF]
Chen M, Wang J, Zhao F, Jiang G.
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A Public Opinion Propagation Model for Human-Made Disasters Considering Herd Behavior and Psychological Involvement. [PDF]
Zhang Y, Ni T, Tang W.
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Regulation and mechanism of chloride channels in proliferative vitreoretinopathy. [PDF]
Wen W +5 more
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2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, 2013
In online social network(OSN), spams refer to the messages deliberately propagated by spammers. Annoyed advertisements, illegal contents, malware and phishing links can all be spread by spams. Some detection approaches have been proposed in previous works. However, on the one hand, some of the assumptions they rely on are still unproven.
Kan Chen +3 more
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In online social network(OSN), spams refer to the messages deliberately propagated by spammers. Annoyed advertisements, illegal contents, malware and phishing links can all be spread by spams. Some detection approaches have been proposed in previous works. However, on the one hand, some of the assumptions they rely on are still unproven.
Kan Chen +3 more
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Misinformation in the Chinese Weibo
2020Social media users are increasingly influenced by misinformation and disinformation as the techniques offer affordances to rapidly spread information to large groups of people. Most of the existing studies about misinformation and disinformation are in the context of Western cultures, the influence of misinformation in Chinese context is underexplored.
Lu Xiao 0002, Sijing Chen
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Motivations and Usage Patterns of Weibo
Cyberpsychology, Behavior, and Social Networking, 2012Referred to as "Weibo," microblogging in China has witnessed an exponential growth. In addition to the Twitter-like functionality, Weibo allows rich media uploads into user feeds, provides threaded comments, and offers applications, games, and Weibo medals.
Lixuan Zhang, Iryna Pentina
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Characterizing User Behavior in Weibo
2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing, 2012Online social networks (OSNs) have become the most popular services on the Internet, and such systems have become part of users' life all over the world. They visit such systems every day and spend more and more time on them. So understanding users' behavior is important to understand such systems.
Zhengbiao Guo +3 more
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Sentiment analysis on Weibo data
2014 IEEE Computers, Communications and IT Applications Conference, 2014With the development of the Internet, people share their emotion statuses or attitudes on online social websites, leading to an explosive rise on the scale of data. Mining sentiment information behind these data helps people know about public opinions and social trends.
Di Li +3 more
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Weibo, and a Tale of Two Worlds
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015, 2015Weibo is the Twitter counterpart in China that has attracted hundreds of millions of users. We crawled an almost complete Weibo user network that contains 222 million users and 27 billion links in 2013. This paper analyzes the structural properties of this network, and compares it with a Twitter user network.
Wentao Han +5 more
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