FakerFact: Fake News Detection

This extension will open up a new tab on www.fakerfact.org to check your current tab's content for indications of fake news

FakerFact: Fake News Detection

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Extension stats

This extension was removed from Chrome Web Store on 2022-02-27

By: http://fakerfact.org

Users: 950

Rating: 4.00

(14)

Version: 5.2 (Last updated: 2018-10-21)

Creation date: 2018-10-21

Risk impact: Low risk impact

Risk likelihood:

High risk likelihood

Manifest version: 2

Permissions:

activeTab
contextMenus
https://api.fakerfact.org/

Size: 31.94K

URLs: Website

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Not available on Android

Not available on Firefox

Not available on Edge

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Extension summary

Analyze keywords

With so much information coming at you everyday, it can be hard to figure out what is Real Journalism vs Fake News. While computers can't tell you what's true and what's not, they can help provide information that will help you make that determination.

FakerFact uses a machine learning algorithm we call Walt (named after Walter Cronkite). Walt has read millions of articles from sites all over the internet, and has been trained to detect relevant Fake News patterns.

For example, Walt can tell you whether the web page you are viewing shares characteristics of articles that are typical of good journalism, opinion pieces, clickbait, conspiracy theories, or satire.

Then you can make your own determination of whether you think the article is a valid and trustworthy news source or if it is Fake News.

User reviews

Is the extension disabled? It does not work anymore? Because it gives me the message that you guys have retired.

Adolfo Grosso, 2021-11-15

Doesn't work very well with many trustworthy sites.

Hunter Redell, 2021-03-05

I am a journalist and have tested this on a number of trustworthy sites. It does not work very well with local journalism and often suggests articles are satire. I'm sure it can be trained further to be more accurate, but it is coming up with a lot of false positives for fake news (I made sure to test non-political stories so my own biases weren't confounding the results).