Blog
Why study fake news and digital misinformation
After the 2016 US elections, the topic of fake news and their spread on social media has become a hotly debated issue. As our group has been studying this phenomenon since 2010, our work has been covered and quoted in the media, analyzing the influence of social bots, the appearance of fake new...
Social bot research featured on CACM, IEEE Computer covers
Research on detection of social bots by OSoMe faculty members Alessandro Flammini and Filippo Menczer, former IUNI research scientist Emilio Ferrara, and graduate students Clayton A Davis, Onur Varol, and Prashant Shiralkar was featured on the covers of the two top computing venues:...
Observatory on Social Media launched
The power to explore online social media movements — from the pop cultural to the political — with the same algorithmic sophistication as top experts in the field is now available to journalists, researchers and members of the public from a free, user-friendly online software suite released today....
Best poster and best presenter prizes
Congratulations to Clayton A Davis, who won the best presenter prize at the 25th International World Wide Web Conference's Developers Day Workshop! Clayton presented BotOrNot: A system to evaluate social bots, a paper coauthored with Onur Varol, Emilio Ferrara, Alessandro Flammini, and...
BotOrNot passes a million hits within a week of launch
Social bots have been circulating on social media platforms for a few years, and if you frequent online social media, you've probably come across them whether you know it or not! To learn more about social bots, we built BotOrNot, a tool to analyze a Twitter user's behavior and compare it to the b...
Instagram to predict fashion model success
Predicting popularity and success in cultural markets is hard due to strong inequalities and inherent unpredictability. A good example comes from the world of fashion, where industry professionals face every season the difficult challenge of guessing who will be the next seasons’ top models. A rece...
Towards computational fact checking
Traditional fact checking by expert journalists cannot keep up with the enormous volume of information that is now generated online. Computational fact checking may significantly enhance our ability to evaluate the veracity of dubious information. In our paper, Computational Fact Checking from Know...
On the cover of Neuron
Work by Olaf Sporns, YY Ahn, Alessandro Flammini, and colleagues was featured on the cover of Neuron. In the paper Cooperative and Competitive Spreading Dynamics on the Human Connectome, the authors present a simulation model of spreading dynamics, previously applied in studies of social ne...
Winner of WICI Data Challenge
Congratulations to Przemyslaw Grabowicz, Luca Aiello, and Fil Menczer for winning the WICI Data Challenge. A prize of $10,000 CAD accompanies this award from the Waterloo Institute for Complexity and Innovation at the University of Waterloo. The Challenge called for tools and methods th...
ACM Web Science 2014 Best Paper Award
Congratulations to Onur Varol, Emilio Ferrara, Chris Ogan, Fil Menczer, and Sandro Flammini for winning the ACM Web Science 2014 Best Paper Award with their paper Evolution of online user behavior during a social upheaval (preprint). In the paper, the authors study the pivotal role p...