Information Tracer gathers data from X(Twitter), Facebook, Instagram, Reddit, YouTube, Bluesky, Linkedin, and more.
Our high-quality data powers academic researchers at Carnegie Mellon University, Tsinghua University, The University of Hong Kong, The University of Copenhagen, and more.
What differentiates Information Tracer from other software is the ability to visualize and analyze narratives from "30,000 feet" (global trend) to "3 feet" (individual post) -- allowing the user to easily zoom in and zoom out.
Our software is used by journalists to uncover online manipulation. For example, we collaborated with Tortise Media and discovered large scale pro-Johnny Depp influence operations. Our work is featured on Podcast Who Trolled Amber.
Today's social media is filled with AI-generated content. Many posts are opinion-based, which cannot be easily fact-checked. So how should we define "truth"?
To tackle this challenge, our algorithms creates a holistic profile for a social media persona -- including language pattern, geo-location, sentiment, and interactions with other accounts. Those insights not only tells what an account says, but also why it says so.
We won the Future Technology Award at the 2023 Next Challenge for Media and Journalism. The Award is given to "tech finalist advancing the public interest".
Delivered workshops to 2023 World Press Institute Fellows, media executives, and Deutsche Welle Akademie.
Presented research at DEFCON 2022, the largest hacking conference in the world, with a number of participant above 35000.