CHI EA 2014
Conference paper

Opportunities and risks of discovering personality traits from social media

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With the emergence of social media and the availability of big data, there has been much interest in mining the digital footprints left by users to predict personality traits (e.g., introvert and idealistic) and gain a deeper understanding of individuals. While such understanding will enable hyper-personalized computing, such as personality-based marketing, the use of this technology will have far-reaching social implications that could affect almost every aspect of our lives. For example, personality traits mined from social media could be used to guide hiring and promotion decisions or choose who is admitted into top academic programs. The risks of using derived personality traits are large, particular due to factors such as the questionable veracity of data collected from social media, imperfections in prediction algorithms, and lack of control over how, when, and to whom anyone's personality traits might be exposed. We will use this panel to bring together experts from the fields of Psychology, Social Science, Computer Science, along with the CHI community, to discuss and debate the opportunities and risks of personality discovery from social media and the implications on technical communities and our society at large.