Articles about 'facebook'

Study of almost 3 million Facebook and Twitter posts from US media and politicians shows divisive posts dunking on opponents drive engagement on social media.

The Leverhulme Centre for the Future of Intelligence (CFI), a Cambridge-based research Centre exploring the nature and impact of Artificial Intelligence (AI), is joining the Partnership on AI to Benefit People and Society (Partnership on AI), it was announced this evening.

New work focusing on the ALS Ice Bucket Challenge reveals very brief shelf life of such viral campaigns, and suggests the nature of ‘virality’ and social tipping points themselves may be a stumbling block to deeper engagement with social issues that campaigns aim to promote.    

Our Facebook status updates, ‘likes’ and even photos could help researchers better understand mental health disorders with the right ethical safeguards, argue researchers from the University of Cambridge, who suggest that social networks may even be used in future to provide support and interventions, particularly among young people.

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 are using social media data to build a picture of the personalities of millions, changing core ideas of how psychological profiling works. They say it could revolutionise employment and commerce, but the work must be done transparently.

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.

Research on Egypt is looking at how to read revolution and grass roots opposition through social media.

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. The study raises important questions about personalised marketing and online privacy.

A panel discussion for the Festival of Ideas examines whether social media giants are profiting from our willingness to share the most intimate details of our lives online, and whether we should be worried by this compromise to our privacy.