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disinformation

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deep_classiflie

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…

  • Updated Aug 22, 2023
  • Python
Social-Network-Analysis

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.

  • Updated Sep 10, 2021
  • Python

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.

  • Updated Nov 16, 2022
  • Python

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