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 monitor #Election2020 manipulation.Continue reading UPDATE: BotSlayer tool to expose disinformation networks
In September 2020, we are introducing a major upgrade for Botometer. This post explains the changes and motivations behind them.Continue reading Botometer V4
UPDATE: This paper is ranked #3 most read among all articles published by Nature Communications in 2018
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
Congratulations to Clayton A. Davis, who successfully defended his PhD dissertation titled “Collect, Count, and Compare”: Expanding Access and Scope of Social Media Analysis. Dr. Davis’ work explored ways to facilitate research using massive social data through tools that are friendly for non-technical users, robust to manipulation by social bots, and that offer strict anonymity guarantees. His work has been featured on the cover of Communications of the ACM and quoted in top worldwide media venues. Web interfaces for his projects, including Botometer, Kinsey Reporter, and the Observatory on Social Media, have served millions of queries to thousands of Internet users. Davis has also made key pedagogical contributions, and co-authored a textbook on network science to be published later this year by Cambridge University Press.
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…
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
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.