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Characterizing User Behavior in Weibo

2012 Third FTRA International Conference on Mobile, Ubiquitous, and Intelligent Computing, 2012
Online 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
openaire   +1 more source

Misinformation in the Chinese Weibo

2020
Social 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, Sijing Chen
openaire   +1 more source

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, Natalia Vanetik, Lei Li
openaire   +1 more source

China’s Social Media Platforms: Weibo

2020
With regards to China’s social media platforms—Weibo, this chapter discusses China’s social media ecology with a focus on the contradiction of fast growth of social media industry and political constraints. It examines Weibo’s origin, transformation, technical features and usability, users’ comment culture, censorship practice as well as its political ...
openaire   +1 more source

Predicting Mass Incidents from Weibo

2016
The outbreak of mass incidents severely affects the stability of society. If we can predict mass incidents in advance, we may find the solution to avoid the confliction in time. Some of the existing approaches rely on emotional modeling. Much research has been conducted on microblog incident detection using statistical models, like LASSO regression ...
Wenwen Li   +3 more
openaire   +1 more source

Hu Weibo

2023
Qiu Guanzhou, Xu Kuangdi
openaire   +1 more source

Weibo Feminism

2022
Aviva Wei Xue, Kate Rose
openaire   +1 more source

Weibo

2018
Xianhui Che, Barry Ip
openaire   +2 more sources

Weibo Mood Towards Stock Market

2016
Behavioral economics and behavioral finance believe that public mood is correlated with economic indicators and financial decisions are significantly driven by emotions. A growing body of research has examined the correlation between stock market and social media public mood state.
Wen Hao Chen, Yi Cai, Kin Keung Lai
openaire   +1 more source

Sina Weibo User Influence Research

2018
This paper takes Weibo users as the research object, and extracts two dimensions from the point of view of user relationship: Micro-bo concern number, micro-blog fans number, and on this basis to generate fans rate indicator. Through the Python Network crawler to acquire and analysis data, this paper has obtained the exponential function model and ...
Zhu Yangpeng, Li Peng
openaire   +1 more source

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