Artificial Inflation: The True Story of Trends in Sina Weibo
Louis Yu, Sitaram Asur, Bernardo A. Huberman

TL;DR
This paper investigates the dynamics of trends on Sina Weibo, revealing that a significant portion of trending topics are artificially inflated through retweets by fraudulent accounts, contrasting with observations from Twitter.
Contribution
It provides a detailed analysis of trend formation and decay on Sina Weibo, highlighting the role of retweets and fake accounts in artificially influencing trending topics.
Findings
Retweets are more prevalent in Sina Weibo than in Twitter.
A large percentage of trends are driven by fraudulent accounts.
Fake accounts artificially inflate certain posts to dominate trending lists.
Abstract
There has been a tremendous rise in the growth of online social networks all over the world in recent years. This has facilitated users to generate a large amount of real-time content at an incessant rate, all competing with each other to attract enough attention and become trends. While Western online social networks such as Twitter have been well studied, characteristics of the popular Chinese microblogging network Sina Weibo have not been. In this paper, we analyze in detail the temporal aspect of trends and trend-setters in Sina Weibo, constrasting it with earlier observations on Twitter. First, we look at the formation, persistence and decay of trends and examine the key topics that trend in Sina Weibo. One of our key findings is that retweets are much more common in Sina Weibo and contribute a lot to creating trends. When we look closer, we observe that a large percentage of…
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Taxonomy
TopicsChina's Socioeconomic Reforms and Governance
