Analyzing user behavior of the micro-blogging website Sinaweibo during hot social events

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📝 Original Info

  • Title: Analyzing user behavior of the micro-blogging website Sinaweibo during hot social events
  • ArXiv ID: 1304.3898
  • Date: 2015-06-15
  • Authors: Researchers from original ArXiv paper

📝 Abstract

The spread and resonance of users' opinions on SinaWeibo, the most popular micro-blogging website in China, are tremendously influential, having significantly affected the processes of many real-world hot social events. We select 21 hot events that were widely discussed on SinaWeibo in 2011, and do some statistical analyses. Our main findings are that (i) male users are more likely to be involved, (ii) messages that contain pictures and those posted by verified users are more likely to be reposted, while those with URLs are less likely, (iii) gender factor, for most events, presents no significant difference in reposting likelihood.

💡 Deep Analysis

Deep Dive into Analyzing user behavior of the micro-blogging website Sinaweibo during hot social events.

The spread and resonance of users’ opinions on SinaWeibo, the most popular micro-blogging website in China, are tremendously influential, having significantly affected the processes of many real-world hot social events. We select 21 hot events that were widely discussed on SinaWeibo in 2011, and do some statistical analyses. Our main findings are that (i) male users are more likely to be involved, (ii) messages that contain pictures and those posted by verified users are more likely to be reposted, while those with URLs are less likely, (iii) gender factor, for most events, presents no significant difference in reposting likelihood.

📄 Full Content

The spread and resonance of users' opinions on SinaWeibo, the most popular micro-blogging website in China, are tremendously influential, having significantly affected the processes of many real-world hot social events. We select 21 hot events that were widely discussed on SinaWeibo in 2011, and do some statistical analyses. Our main findings are that (i) male users are more likely to be involved, (ii) messages that contain pictures and those posted by verified users are more likely to be reposted, while those with URLs are less likely, (iii) gender factor, for most events, presents no significant difference in reposting likelihood.

Reference

This content is AI-processed based on ArXiv data.

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