1 item
Increase trust on internet by checking whether the claims people make are really substantiated by their sources or not. Have you ever encountered someone posting outlandish claims, all while trying to back it up with sources that don't prove their point? In the age of Generative AI, where comments and posts are increasingly manufactured, we'll probably be seeing more and more of that. In the absence of any checks on this system, trust on the internet will gradually erode until there is no objective truth left. This is a companion tool that aims to counter that trend, ironically using Generative AI itself to do it. Currently, it works on Old Reddit comments, including a "Validate Claim" button on every comment with a link. When you click on the button, an analysis is kicked off to (1) extract all the claims the user is making, (2) pull all the information from their source, and (3) check whether each claim is substantiated by the source. Steps 1 and 3 are done by instruction fine-tuned LLMs. This is an open-source project in active development. Future updates will include: 1. Support multiple sources in the same comment 2. Looking at nearby comments to better understand the claims a user is trying to make 3. Support Reddit posts in addition to comments 4. Support for more websites, including Twitter and Wikipedia 5. Additional tools beyond just claim verification NOTE: This extension is totally free to use, but uses my personal API keys (now using Groq for faster results!) for the time being. If you'd like to support the project, first and foremost looking for contributors, but would of course also appreciate any donations: https://ko-fi.com/veezbo
Apr 25, 2024
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.