New Brand Assets: Where are we going?

"We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexual orientation, ethnicity, religious and political views, personality traits, intelligence, happiness, use of addictive substances, parental separation, age, and gender. The analysis presented is based on a dataset of over 58,000 volunteers who provided their Facebook Likes, detailed demographic profiles, and the results of several psychometric tests." Kosinski et al. 2013 (The Psychometrics Centre, University of Cambridge) Like. Comment. Engage. Sponsored...

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A Facebook for my Brand : Fan Pages and KPI's

Facebook fan pages can be regarded  as a virtual brand community. They are specialized, non geographically bound communities and they are based on a structured set of social relations among admirers of a brand. Therefore the theoretic explanations for a brand community are also suitable for explaining the fan page phenomenon. Social identity and  symbolic interactionism theories show that interaction with members of a reference group can lead to a strong feeling of belonging to this group (in this case the brand community) which in turn can lead to stronger buying behavior and positive brand attitude. But how can we be sure...

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Facebook Likes and Human Behavior

Earlier in 2013, the Psychometrics Centre of the University of Cambridge conducted an impressive research about how private attributes are predictable from digital records of human behavior, like Facebook likes. Digitally mediated behaviors like Facebook likes can easily be recorded and analyzed, fueling the emergence of computational social science and new services such as personalized search engines and targeted online marketing. However, the widespread availability of extensive records of individual behavior, together with the desire to learn more about customers and citizens, presents serious challenges related to privacy...

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