You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
A verification “Swiss army knife” helping journalists, fact-checkers, and human rights defenders to save time and be more efficient in their fact-checking and debunking tasks on social networks especially when verifying videos and images
Python code for "Fishing for the answer: Mapping the flow of information in LLM agent groups using lessons from fish schools" submitted to Apart Research Multi-Agent Security Hackathon 2024.
A tool to quickly identify relevant, publicly-available open source intelligence ("OSINT") tools and resources, saving valuable time during investigations, research, and analysis.
a consolidated and cleaned up fake news dataset classified in the following categories: reliable, unreliable, political, bias, fake, conspiracy, rumor clickbait, junk science, satire, hate
Influence Effects & Hollywood Fixers - Society, Organizations, Experts, Witnesses with Open-Source Documents - Amici Organizations Filings, Official Records, Information - Impacts to Legal Cases, Victims/Witnesses - Updated Data of 5 Platforms to Investigations - Methodology of Fixers
Deep Classiflie is a framework for developing ML models that bolster fact-checking efficiency. As a POC, the initial alpha release of Deep Classiflie generates/analyzes a model that continuously classifies a single individual's statements (Donald Trump) using a single ground truth labeling source (The Washington Post). For statements the model d…
Repository for UC Berkeley MIDS Capstone Project (Spring 2023) for team Fake News Bears looking at US politician Twitter data to assess the spread of and exposure to disinformation online.