Hi! I'm Kai-Cheng Yang (杨凯程), the pronunciation is KY-cheng YAHNG. You can also call me Kevin. I'm a third year Ph.D student in Informatics at Luddy School of Informatics, Computing, and Engineering in Indiana University Bloomington.
Before joining the Ph.D program at IU, I received my bachelor and master degrees in theoretical physics from Lanzhou University in China.
Botometer is a machine learning tool that extracts over 1000 different features from a Twitter account and evaluates its likelihood of being social bot. Currently Botometer is handling over 250,000 requests every day and serves as the foundation for many researches.
BotometerLite is a light version Botometer. Using a minimal set of features, BotometerLite can perform bot detection for the Twitter Firehose volume in real time with just a desktop. With novel evaluation system and model selection method, BotometerLite is able to achieve comparable accuracy with Botometer. Because of the simplified design, it becomes possible to interpret BotometerLite's results.
BEV is a tool that visualizes the activity of likely bots on Twitter around the 2018 US midterm elections. It allows to explore how active bots are on a daily basis in efforts to influence online discourse about the elections. It also shows what topics are being targeted by likely bots.
So far, studies of social bots have largely been conducted in computational perspectives. How social media users perceive social bots and a series of related questions remain unclear. In this human subject research project we use experimental design to understand social media users' perception towards social bots. We also characterize the effect of human biases on the efficacy of social bot detection task.
BotSlayer is an application that helps track and detect potential manipulation of information spreading on Twitter.
Equipped with BotometerLite and newly developed algorithms, BotSlayer is able to detect coordinated amplification by
likely bots in real time.
BotSlayer is free and easy to install.
With some simple configuration, everyone can have a customized instance running in the could.
BotSlayer is under public Beta testing now.
We also provide an open source version called BotSlayer-CE.
Hoaxy is a tool that visualizes the spread of fake news and related fact checking articles on Twitter. With the incorporation of Botometer, Hoaxy can also visualize the bot-like activities involved in the spread of the articles.
Contribution: maintaining, developing API for Hoaxy to fetch Botometer scores
Traditional methods for identifying drug seeking behavior focus on each patient's medical history individually. Typical criteria involves the number of different prescribers, visits of different pharmacies and total drug dose in certain time period. Our analysis shows these methods become less useful as the patients are intentionally altering their behaviors to avoid detection. This project tends to utilize social network analysis to identify drug seeking behavior which has proven to be more effective and harder to trick.