Researchers have used a combination of location and transport data to predict the likelihood that a given retail business will succeed or fail.
A new experiment, launching today online, aims to help ‘inoculate’ against disinformation by providing a small dose of perspective from a “fake news tycoon”. A pilot study has shown some early success in building resistance to fake news among teenagers.
How effective is psychological targeting in advertising? Dr Sandra Matz, a former PhD student at Cambridge now based at Columbia University, 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 University 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.
Researchers investigating whether children and young adults are exposed to advertising from major alcohol brands on the three most popular social networks - Facebook, YouTube and Twitter - find that some channels and brands don’t have, or use, age restrictions.