First announced in September 2019, the new BotSlayer software to expose disinformation networks is designed and developed by CNetS faculty and students in collaboration with IUNI staff and the Observatory on Social Media. BotSlayer is an application that helps track and detect potential manipulation of information spreading on Twitter. It can be used by journalists, researchers, civil society organizations, corporations, and political candidates to discover in real-time new coordinated disinformation campaigns. Read about how you can join the effort to spot the manipulation of social media.
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.
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!