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Weibo of China

2020
Abstract This chapter studies the design case of Weibo from China and explores how a local social media service, which at first was regarded as a copycat of a Silicon Valley technology, arose in the Chinese social media market and beat its Western competitor on Wall Street with its culturally sensitive design features. It reviews Weibo’s
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Automatic rumors identification on Sina Weibo

2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2016
In this paper, we study the problem of detecting rumors spreading in the social networks. Different from the most of the previous works on identifying rumors in Twitter, we select Sina Weibo, the China's major microblog system, as our target. We use two interfaces named "@Weibopiyao" and "Weibo Misinformation-Declaration" from Sina Weibo to help us ...
Liang, Gang, Yang, Jin, Xu, Chun
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Gender Classification of Chinese Weibo Users

Proceedings of the 2017 International Conference on E-commerce, E-Business and E-Government, 2017
User profiles describe users with many personalized features, which help us recognize and understand users. Gender classification is one of the fundamental research tasks on user profiles. Recently there are few studies on gender classification of Chinese micro-blog authors.
Yao Yu, Tianfang Yao
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Summarizing Weibo with Topics Compression

2018
Extractive text summarization aims at selecting a small subset of sentences so that the contents and meaning of the original document are best preserved. In this paper we describe an unsupervised approach to extractive summarization. It combines hierarchical topic modeling (TM) with the Minimal Description Length (MDL) principle and applies them to ...
Marina Litvak   +2 more
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Personalized recommendation for Weibo comic users

2018 Wireless Telecommunications Symposium (WTS), 2018
Recommendation system, as one of cost effective solutions dealing with the information-overwhelming problem, has been adopted by many internet e-commerce platforms, such as Amazon, eBay, Asos, etc. User-based or item-based collaborative filtering, as one of the classic recommendation algorithms, suffers greatly from high computational consumption and ...
Yan Sun 0005   +5 more
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Investigating Privacy Perception and Behavior on Weibo

Journal of Organizational and End User Computing, 2014
More than half of Chinese Internet users participate in Weibo, the most popular social media and microblogging platform in China. Weibo encourages members to voluntarily contribute personal information, leading to potential privacy invasion. This study examines how trust in other members and perceptions of government intrusion affect privacy-related ...
Clinton Amos   +2 more
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Identifying related users in Weibo platform

2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015
Sina Weibo is the most popular social network in China. Most of the studies on Weibo are focus on the author identification or user identification. Finding the related user ID of a given user ID from every aspect of Weibo user ID is rarely studied. This paper proposes a Weibo Related User Identification (WRUI) approach which can give top ten similar ...
Lin Xu   +3 more
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Spammer Detection on Weibo Social Network

2014 IEEE 6th International Conference on Cloud Computing Technology and Science, 2014
Social network has become a very popular way for internet users to communicate and interact online. Users spend a great deal of time on famous social networks (e.g. Facebook, Twitter, Sina Weibo, etc.), reading news, discussing events and posting their messages.
Zhipeng Zeng   +3 more
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Topic dynamics in Weibo: a comprehensive study

Social Network Analysis and Mining, 2015
The tremendous development of online social media has changed people’s life fundamentally in recent years. Weibo, a Twitter-like service in China, has attracted more than 500 million users in less than 5 years and produces more than 100 million Chinese tweets everyday.
Rui Fan, Jichang Zhao, Ke Xu 0001
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An analysis of sleep complaints on Sina Weibo

Computers in Human Behavior, 2016
This study explores sleep complaints on Sina Weibo to gain insights into social networking about mental health. A random sample (nź=ź1000) of insomnia-related postings was coded and analyzed to investigate the themes and symptoms expressed in postings. The most common theme mentioned is the disclosure of insomnia.
Xianyun Tian, Guang Yu, Fang He
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