I am the Luddy Distinguished Professor of Informatics and Computer Science at the Indiana University Luddy School of Informatics, Computing, and Engineering, director of the Observatory on Social Media, and a member (and former director) of the Center for Complex Networks and Systems Research. I also have courtesy appointments in Cognitive Science and Physics, serve on the advisory board of the IU Network Science Institute (IUNI), and am a Fellow of the Center for Computer-Mediated Communication, a Senior Research Fellow of the Kinsey Institute, a Fellow at the ISI Foundation in Torino, Italy, and a Fellow of the ACM.
Research in my group, NaN, spans computational social science, network science, Web science, and data science, with a focus on analyzing and modeling the spread of information and misinformation in social networks and detecting and countering the manipulation of social media. We also study social computing, Web search and data mining, and science of science.
Prospective students interested in joining my lab should look at this advice before contacting me. Then, if still interested, they should apply to one of our PhD programs: Informatics (Complex Networks & Systems track), Computer Science, or Cognitive Science. Also check out the NSF-Funded Interdisciplinary Training Program in Complex Networks and Systems! I am usually unable to respond to inquiries from prospective students unless they have already been admitted to one of these programs.
The Observatory on Social Media at Indiana University, Bloomington invites applications for a Postdoctoral Fellow position. The anticipated start date is January 1, 2023. The position is initially for 12 months and can be renewed for up to 24 additional months, depending on performance and funds availability. The Fellow will work with Filippo Menczer and collaborators at IU and other universities on sponsored research related to modeling the spread of harmful misinformation on social media.(Read more ...)
Today the Observatory on Social Media and CNetS launched a revamped research tool to give journalists, other researchers, and the public a broad view of what s happening on social media. The tool helps overcome some of the biggest challenges of interpreting information flow online, which is often difficult to understand because it s so fast-paced and experienced from the perspective of an individual account s newsfeed.(Read more ...)
We have two big announcements! First, CNetS (along with IUNI and OSoMe) is moving to the new Luddy Center for Artificial Intelligence. Second, we have a new tenure-track assistant professor position in Artificial Intelligence and Network Science. We welcome any candidates who study AI, complex systems, and network science (all broadly defined). Potential research areas include, but are not limited to, deep learning, graph neural networks, complex systems, complex networks, computational neuroscience, computational social science, social media analytics, agent-based models, and the impacts of AI (Read more ...)
Our latest paper "Neutral bots probe political bias on social media" by Wen Chen, Diogo Pacheco, Kai-Cheng Yang & Fil Menczer just came out in Nature Communications. We find strong evidence of political bias on Twitter, but not as many think: (1) it is conservative rather than liberal bias, and (2) it results from user interactions (and abuse) rather than platform algorithms. We tracked neutral "drifter" bots to probe political biases. In the figure, we see the (Read more ...)
Our 2011 paper Political Polarization on Twitter was recognized at the 2021 AAAI International Conference on Web and Social Media (ICWSM) with the Test of Time Award. First author Mike Conover, who was then a PhD student and is now Director of Machine Learning Engineering at Workday, accepted the award at a ceremony at the end of the ICWSM conference. Other (Read more ...)
On 15 September 2020, The Washington Post published an article by Isaac Stanley-Becker titled “Pro-Trump youth group enlists teens in secretive campaign likened to a ‘troll farm,’ prompting rebuke by Facebook and Twitter.” The article reported on a network of accounts run by teenagers in Phoenix, who were coordinated and paid by an affiliate of conservative youth organization Turning Point USA. These accounts posted identical messages amplifying political narratives, including false claims about COVID-19 (Read more ...)
We are excited to announce the new v.1.3 of BotSlayer, our OSoMe cloud tool that lets journalists, researchers, citizens, & civil society organizations track narratives and detect potentially coordinated inauthentic information networks on Twitter in real-time. Improvements and new features include better stability, a new alert system, a Mac installer, and many additions to the interface. This version is released in time for those who would like to use BotSlayer to (Read more ...)