Analysis by CNetS researchers of information shared on Twitter during the 2016 U.S. presidential election has found that social bots played a disproportionate role in spreading misinformation online. The study, published in the journal Nature Communications, analyzed 14 million messages and 400,000 articles shared on Twitter between May 2016 and March 2017 — a period that spans the end of the 2016 presidential primaries and the presidential inauguration on Jan. 20, 2017. Among the findings: A mere 6 percent of Twitter accounts that the study identified as bots were enough to spread 31 percent of the low-credibility information on the network. These accounts were also responsible for 34 percent of all articles shared from low-credibility sources. The study also found that bots played a major role promoting low-credibility content in the first few moments before a story goes viral. Continue reading Twitter bots play disproportionate role spreading misinformation
Onur Varol, a postdoctoral research associate at Northeastern University who earned his Ph.D. in Informatics from CNetS, has been honored with the University Distinguished Ph.D. Dissertation Award for 2018, which is the highest honor for research Indiana University bestows on its graduate students. “I am extremely happy to receive this award,” Varol said. “I would like to especially thank my advisor, Filippo Menczer, and the Informatics department for nominating me. I was lucky to be surrounded by the best advisors, collaborators, and research group I could imagine during my doctoral studies, and I am a proud IU alumni and a Hoosier.” Varol’s dissertation, “Analyzing Social Big Data to Study Online Discourse and Its Manipulation,” provided insights into analysis of online conversations and mechanisms used for their manipulation. Varol built machine learning frameworks like Botometer to detect social bots. More…
The spread of fake news is no game, but to recent CNetS graduate Mihai Avram, a game just might be the solution. As a graduate student in CNetS, Avram developed a mobile app called Fakey to help combat the spread of fake news on social media. It is available to download for both Android and iOS. The news literacy game places users in a simulated social media environment where they can share, “like” or fact-check articles. Users are given feedback for their actions and earn points if they share stories from legitimate news sources, or if they fact-check articles from low-credibility sources. More…
Researchers at CNetS, IUNI, and the Indiana University Observatory on Social Media have launched upgrades to two tools playing a major role in countering the spread of misinformation online: Hoaxy and Botometer. A third tool Fakey — an educational game designed to make people smarter news consumers — also launches with the upgrades. Continue reading 3 new tools to study and counter online disinformation
The indictment of 13 Russians in the operation of a “troll farm” that spread false information related to the 2016 U.S. presidential election has renewed the spotlight on the power of “fake news” to influence public opinion. Now, an Indiana University faculty member who studies the spread of misinformation online is joining prominent legal scholars, social scientists and researchers in a global “call to action” in the fight against it. Filippo Menczer, a professor in CNetS and the IU School of Informatics, Computing and Engineering, is a co-author of a paper published March 8 in the journal Science that calls for a coordinated investigation into the underlying social, psychological and technological forces behind fake news. This is necessary to counteract the phenomenon’s negative influence on society, the authors said. READ MORE
Thanks to support from the Indiana University Network Science Institute (IUNI) and Digital Science Center (DSC), the full content of the Twitter data repository from the Observatory on Social Media (OSoMe) is now available to all IU researchers. Many tools to detect social bots, study the spread of fake news, visualize meme diffusion networks, trends, and maps, as well as APIs to access this data, have been available to the general public since mid-2016. Now, however, the IU research community can access enhanced data and content from the large collection, based on a 10% sample of all public tweets. A dedicated portal allows IU faculty and students to submit queries to the OSoMe cluster based on hashtags, URLs, keywords, geo-coordinates, and other criteria. At any time the system can search and retrieve data from the previous 18 months. We hope this resource will spur and support new research projects in all areas of computing, natural, and social sciences. Click here to read how to get access and learn more about the data, or attend our Open Science Forum!
Fil Menczer, professor of computer science and informatics at the School of Informatics, Computing, and Engineering, is part of a group that has been awarded a $1.2 million grant from the Defense Advanced Research Projects Agency (DARPA) to study how and at what rate information spreads in a global information environment. The project, COSINE: Cognitive Online Simulation of Information Network Environments, also involves Professor of Informatics Alessandro Flammini and Assistant Professor of Informatics and Computing YY Ahn. The project is in collaboration with colleagues at the USC Information Sciences Institute (ISI) and the University of Notre Dame. Read more…
JAN 2018 UPDATE: THIS SEARCH HAS BEEN CLOSED.
The Center for Complex Networks and Systems Research (cnets.indiana.edu) at Indiana University, Bloomington has an open postdoctoral position to study how information spreads through complex online social networks. The position funded by the DARPA program on Computational Simulation of Online Social Behavior (SocialSim). The anticipated start date for this position is January 1, 2018 (negotiable). This is an annual renewable appointment for up to 3 years subject to performance and funding. Continue reading Postdoctoral Fellowship: Simulation of Information Diffusion in Online Social Networks
Congratulations to Prashant Shiralkar for successfully defending his dissertation entitled “Computational Fact Checking by Mining Knowledge Graphs” on August 18th 2017, supervised by Filippo Menczer. Prashant completed a PhD degree in Computer Science and has accepted a position at Amazon.
A project from NaN and IUNI was among 20 selected (out of over 800 applications) to address the spread of misinformation with support from the Knight Prototype Fund. Led by Fil Menczer, Giovanni Ciampaglia, Alessandro Flammini and Val Pentchev, the project will integrate the Hoaxy and Botometer tools and uncover attempts to use Internet bots to boost the spread of misinformation and shape public opinion. The tool aims to reveal how this information is generated and broadcasted, how it becomes viral, its overall reach, and how it competes with accurate information for placement on user feeds. The project will be supported by the Democracy Fund, which in March, along with partners Knight Foundation and Rita Allen Foundation, launched an open call for ideas around the question: How might we improve the flow of accurate information? The call sought projects that could be quickly built to respond to the challenges affecting the health of our news ecosystem and ultimately our democracy. The winning projects will receive a share of $1 million through the Knight Prototype Fund, a program focused on human-centered approaches to solving difficult problems.