Newsworthy rumor events: A case study of Twitter

by Armineh Nourbakhsh, Xiaomo Liu, Sameena Shah, Rui Fang, Mohammad Ghassemi, and Quanzhi Li
Woman using cell phone

Abstract:

A novel yet simple method is proposed to exercise in stock market by following successful stock market expert in social media. The problem of "how and where to invest" is translated into "who to follow in my investment". In other words, looking for stock market investment strategy is converted into stock market expert search. Fortunately, many stock market experts are active in social media and openly express their opinion about market.

By analyzing their behaviour and mining their opinions and suggested actions in Twitter, and virtually exercise based on their suggestions, we are able to score each expert based on his/her performance. Using this scoring system, experts with most successful trading are recommended.

The main objective in this research is to identify traders that outperform market historically, and aggregate the opinions from such traders to recommend trades.

 

Reference:

Armineh Nourbakhsh, Xiaomo Liu, Sameena Shah, Rui Fang, Mohammad Ghassemi, and Quanzhi Li, Newsworthy Rumor events: A Case Study of Twitter, Proceedings of the ICDM workshop on Event Analytics using social media data, 2015.

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