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How effective is psychological targeting in advertising? Dr Sandra Matz, a former PhD student at Cambridge now based at Columbia ̽»¨Ö±²¥, and her co-authors, including Dr David Stillwell from the Cambridge Psychometrics Centre, have published a new study which demonstrates that companies only need one Facebook ‘like’ to effectively target potential customers. 

‘Celebrity’ Twitter accounts – those with more than 10 million followers – display more bot-like behaviour than users with fewer followers, according to new research. 

Despite being founded on ideals of freedom and openness, censorship on the internet is rampant, with more than 60 countries engaging in some form of state-sponsored censorship. A research project at the ̽»¨Ö±²¥ of Cambridge is aiming to uncover the scale of this censorship, and to understand how it affects users and publishers of information

Data from location-based social networks may be able to predict when a neighbourhood will go through the process of gentrification, by identifying areas with high social diversity and high deprivation.

Desislava Hristova (Computer Laboratory) discusses how data from location-based social networks can be used to predict when a neighbourhood will go through the process of gentrification.

New study using Facebook network data, including a dataset of over 57 billion friendships, shows correlation between higher social class and fewer international friendships. Researchers say results support ideas of ‘restricting social class’ among wealthy, but show that lower social classes are taking advantage of increased social capital beyond national borders.

Researchers have found that, based on enough Facebook Likes, computers can judge your personality traits better than your friends, family and even your partner. Using a new algorithm, researchers have calculated the average number of Likes artificial intelligence (AI) needs to draw personality inferences about you as accurately as your partner or parents.

A powerful life-logging tool which captures and stores memorable moments in people’s lives is being developed by two researchers who argue that it could improve public well-being.

A database of Welsh tweets is being used to identify the characteristics of an evolving language.

Research shows that intimate personal attributes can be predicted with high levels of accuracy from ‘traces’ left by seemingly innocuous digital behaviour, in this case Facebook Likes. ̽»¨Ö±²¥study raises important questions about personalised marketing and online privacy.