Understanding the local information environment is critical to understanding how disinformation is spread. It parts of the world, FM radio is the most popular medium for mass communication. Radio programs and advertisements can be ripe with disinformation. Sitting around and listening to the radio all day can be a daunting task for an analyst, especially…
Author: Devin Quinn
Use OpenAI Whisper to Transcribe Disinformation Videos for Text Analysis
Videos uploaded to the internet are often the preferred medium of choice for the dissemination of disinformation. However, analyzing videos can be tricky as they are a multi-modal medium combining audio and visuals. Transcribing the dialogue of a disinformation video can enable us to use natural language processing (NLP) tools to analyze the resulting text….
Identifying Key Themes and Messages with KeyBERT
Identifying adversarial key themes and messages is an important step in analyzing online disinformation campaigns. Using AI can help automate the process of detecting novel key themes and messages. That is where KeyBERT comes in! What are narratives, themes, and messages? Narrative – A way of presenting a situation or events that reflect a particular…
Natural Language Processing with Python and spaCy: Book Review
Natural Language Processing with Python and spaCy: A Practical Introduction by Yuli Vasiliev is exactly as the title suggests, a good introduction to NLP using python and the spaCy library. In just 217 pages the book succinctly explains how you can use python to identify dependency grammar and empirically analyze sentence structures. Throughout the book…
Solving Wordle Using Monte-Carlo Tree Search, Reinforcement
Learning, and Custom AI Algorithm Annie Pates (Elizabeth), Devin Quinn Abstract Wordle is a word guessing game where agents attempt to guess a predetermined five-letter word in six guesses using feedback from the game on the letters used in the previous guess and their placements. Many algorithms can be helpful in optimizing guesses and guessing…