The counterintuitive distribution of digits in certain data sets turns out to be a powerful tool for detecting strange behavior on social networks.
Antisocial behavior online can make people's lives miserable. So an algorithm that can spot trolls more quickly should be a boon, say the computer scientists who developed it.
Young social networks grow in an entirely different way to mature networks, say computer scientists who have analyzed the way Facebook grew in the heady days after it launched in 2004.
Researchers are teasing apart the complex set of links between the virality of a Web story and the emotions it generates.
Studying the pre-Islamic State tweets of people who end up backing the organization paints a revealing picture of how support emerges, say computer scientists.
Microsoft's legendary browser is getting replaced. It's about time.
By studying the network of links between Indian recipes, computer scientists have discovered that the presence of certain spices makes a meal much less likely to contain ingredients with flavors in common.
Data mining Wikipedia people reveals some surprising differences in the way eastern and western cultures identify important figures in history, say computational anthropologists.
A Facebook page that posts the same picture of an Italian singer every day has become the central part of a research project to understand how we use social media.
Despite well-publicized efforts to promote equality, Wikipedia articles are deeply biased against women, say computer scientists who have analysed six different language versions of the online encyclopedia.