Your mother always told you that if something was bothering you, you should talk about it. It would make you feel better. Turns out she was right, and researchers at the School of Informatics, Computing, and Engineering have the science to prove it. Johan Bollen, a professor of informatics and computing, leads a team that analyzed the Twitter feeds of tens of thousands of users to study how emotions change before and after they were explicitly stated. In the study, “The minute-scale dynamics of online emotions reveal the effects of affect labeling,” published in the journal Nature Human Behaviour, Bollen and his colleagues used algorithms to measure how the positivity or negativity of tweets change before or after a user explicitly expressed having an emotion, e.g. saying “I feel bad” or “I feel good.” Their study not only reveals how emotions evolve over time, but also how their expression may change them, and how these changes differ between men and women.Continue reading CNetS social media study shows how affect labeling can help moderate emotions
The Center for Complex Networks and Systems Research (cnets.indiana.edu) at Indiana University, Bloomington has one open postdoctoral position to study critical processes in networks of networks. The appointment starts in February 2019 for one year and is renewable for another year, subject to funding and performance. The salary is competitive and benefits are generous.
The postdoc will join a dynamic and interdisciplinary team that includes computer, physical, and cognitive scientists. The postdoc will work with Prof. Filippo Radicchi. Continue reading Postdoctoral Fellowship: Critical processes in networks of networks
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
The National Institutes of Health, under the National Library of Medicine’s program on data science research, awarded a $1.55 million grant to an interdisciplinary team lead by Luis Rocha, a professor of informatics, member of CNETS and the director of the NSF-NRT complex networks & systems program at the School of Informatics, Computing, and Engineering. The four-year project, a collaboration between SICE and the Indiana University School of Nursing, will employ innovative data- and network-science methods to produce myAURA, an easy-to-use web service for epilepsy patients. myAURA will be based on a large-scale epilepsy knowledge graph built by integrating data from social media, electronic health records, patient discussion boards, scientific literature databases, advocacy websites, and mobile app data. The knowledge graph will, in turn, be used to fuel recommendation and visualization algorithms based on the automatic inference of relevant associations. The inference will follow algorithms developed by Rocha’s team to remove redundancy and extract factual information from large knowledge graphs as well as parsimonious network visualizations developed by Katy Börner, Distinguished Professor of Engineering & Information Science at SICE. Continue reading Team led by CNetS awarded NIH grant to improve chronic-disease management with Data and Network Science
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
The manifesto of science of science has been published in Science magazine. This is a team effort involving 14 coauthors, three of whom are members of our center: Santo Fortunato (first and corresponding author), Staša Milojević and Filippo Radicchi. The team includes superstars in the field of complex systems like Albert-László Barabási, Dirk Helbing, Alessandro Vespignani, and Brian Uzzi. The paper is a review of the main research topics within science of science: knowledge networks, problem selection, novelty, career dynamics, team science and citation dynamics.
First global analysis of human birth-rate cycles reveals that post-holiday ‘baby boom’ persists across cultures, hemispheres. CNetS PhD student Ian Wood and Professors Luis Rocha and Johan Bollen, in collaboration with Joana Sá, used data science and computational social science methods to demonstrate that “Human Sexual Cycles are Driven by Culture and Match Collective Moods.” See full article at IU News and media coverage in many venues such as The Independent, Time, Newsweek, Publico, ScienceDaily, Phys.org, The National Post, DailyMail, The Hindustan Times, Men’s Fitness, Mother Jones, Drive with Yasmeen Khan (at 17:30) (audio of interview), etc. Discussion of the paper was a top trending topic on Reddit. Watch a short video about the research.