Collection of scripts for The TWINT project
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Updated
Nov 14, 2019 - Python
Collection of scripts for The TWINT project
UNOFFICIAL Python API to interface with Parler.com
Python implementation of C2PA: Coalition for Content Provenance and Authenticity.
Official implementation of the ACL 2023 paper: "Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation"
Utilities & scripts to collect and find insight from social network data and users.
Digitalsherlocks
A GETTR API client written in Python.
Monitoring Italian conversations around vaccines on multiple social media (Twitter, Facebook)
An AI-powered tool to support lateral reading.
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.
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…
Social Network Analysis to Help Rescue targeted women/people from abuse, exploitation, harassment, disinformation/influence operations, and threats. Uses webscraping, NLU, cyber intelligence, statistics, botnet detection, clustering, and methods. Female public figure-standard.
Role of Context in Detecting Previously Fact-Checked Claims
Using Deep Learning to identify Disinformation news articles online
Code for the Digital Journalism paper: 'Digital Infrastructures of COVID-19 Misinformation: A New Conceptual and Analytical Perspective on Fact-Checking'. In the paper we compare two fact-checking databases (Poynter institute and Google Fact-check explorer) as overarching infrastructures of fact-checking.
A python script for blocking Hindu nationalist trolls on Reddit
This repository allows collecting the EUvsDisinfo dataset and reproducing the research experiments presented in the paper.
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