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Proceedings of the AAAI Conference on Artificial Intelligence, 2015
A large-scale training corpus consisting of microblogs belonging to a desired category is important for high-accuracy microblog retrieval. Obtaining such a large-scale microblgging corpus manually is very time and labor-consuming. Therefore, some models for the automatic retrieval of microblogs froman exterior corpus have been proposed.
Tu, W, Cheung, D, Mamoulis, N
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A large-scale training corpus consisting of microblogs belonging to a desired category is important for high-accuracy microblog retrieval. Obtaining such a large-scale microblgging corpus manually is very time and labor-consuming. Therefore, some models for the automatic retrieval of microblogs froman exterior corpus have been proposed.
Tu, W, Cheung, D, Mamoulis, N
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Government official microblogs
Proceedings of the 6th International Conference on Theory and Practice of Electronic Governance, 2012Applications of social media could bring more convenience to the government for getting public feedback, or more citizen participation, in order to provide more inclusive public services. Microblogs is one of those social media tools. Nowadays, all governments have begun to use government official microblogs to publish information, collect public ...
Xinping Liu, Lei Zheng
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Inferring user interests in microblogging social networks: a survey
User modeling and user-adapted interaction, 2017With the growing popularity of microblogging services such as Twitter in recent years, an increasing number of users are using these services in their daily lives.
Guangyuan Piao, J. Breslin
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Investigating microblogging addiction tendency through the lens of uses and gratifications theory
Internet Research, 2018Purpose Considering the popularity and addictive attributes of microblogging, the purpose of this paper is to explore the key drivers of the microblogging addiction tendency, and to investigate the causal relationship between microblogging usage and ...
Qian Li, Xunhua Guo, Xue Bai, W. Xu
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Sentiment change and negative herding: Evidence from microblogging and news
Journal of business research, 2022J. Kim +3 more
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Microblog credibility perceptions
Proceedings of the 2013 conference on Computer supported cooperative work, 2013Microblogs have become an increasingly important source of information, both in the U.S. (Twitter) and in China (Weibo). However, the brevity of microblog updates, combined with increasing access of microblog content through search rather than through direct network connections, makes it challenging to assess the credibility of news relayed in this ...
Jiang Yang +3 more
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Event Detection in Twitter Microblogging
IEEE Transactions on Cybernetics, 2016The millions of tweets submitted daily overwhelm users who find it difficult to identify content of interest revealing the need for event detection algorithms in Twitter. Such algorithms are proposed in this paper covering both short (identifying what is currently happening) and long term periods (reviewing the most salient recently submitted events ...
Nikolaos D, Doulamis +3 more
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International Journal of Social Media and Interactive Learning Environments, 2019
The purpose of this research is to examine factors affecting students' perception and engagement of microblogging integration using a qualitative approach.
Tian Luo +3 more
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The purpose of this research is to examine factors affecting students' perception and engagement of microblogging integration using a qualitative approach.
Tian Luo +3 more
semanticscholar +1 more source
Who are the celebrities? Identifying vital users on Sina Weibo microblogging network
Knowledge-Based Systems, 2021Wentao Ye, Z. Liu, Liangguang Pan
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Recommending Related Microblogs
2013Computing similarity between short microblogs is an important step in microblog recommendation. In this chapter, the authors utilize three kinds of approaches—traditional term-based approach, WordNet-based semantic approach, and topic-based approach—to compute similarities between micro-blogs and recommend top related ones to users.
Lin Li, Huifan Xiao, Guandong Xu
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