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Social media data pose pitfalls for studying behaviour

Researchers urged to hone methods for mining social-media data
Thu, 2014-11-27 14:46

A growing number of academic researchers are mining social media data to learn about both online and offline human behaviour. In recent years, studies have claimed the ability to predict everything from summer blockbusters to fluctuations in the stock market.

Contact Information

Contact: Chris Chipello
Organization: Media Relations Office
Email:
Office Phone: 514-398-4201
Source Site: /newsroom

Detecting Twitter users’ gender, en français

Wed, 2013-11-27 12:05

With 230 million users, Twitter has become a global force in social media.  And not just in English.

Contact Information

Contact: Chris Chipello
Organization: Media Relations Office
Email:
Office Phone: 514-398-4201

Secondary Contact Information

Contact: Prof. Derek Ruths
Organization: School of Computer Science
Category:
Source Site: /newsroom

Study of research-paper submissions sheds new light

Resubmissions from other scientific journals yield more citations than first-intent submissions
Fri, 2012-10-12 12:58

A large-scale survey of the process for submitting research papers to scientific journals has revealed a surprising pattern: manuscripts that were turned down by one journal and published in another received significantly more citations than those that were published by the first journal to receive them.

Contact Information

Contact: Chris Chipello
Organization: Media Relations Office
Email:
Office Phone: 514-398-4201
Mobile Phone: 514-717-4201
Category:
Source Site: /newsroom