Fake News Detector

Completely in-browser Fake News detection through neural networks.

Hvad er Fake News Detector?

Fake News Detector er en Chrome-udvidelse udviklet af https://gioelecrispo.github.io, og dens hovedfunktion er "Completely in-browser Fake News detection through neural networks.".

Udvidelsesskærmbilleder

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Download Fake News Detector-udvidelses-CRX-fil

Download Fake News Detector-udvidelsesfiler i crx-format, installer Chrome-udvidelser manuelt i browseren eller del crx-filer med venner for nemt at installere Chrome-udvidelser.

Brugsanvisning til Udvidelsen

                        The "Fake News Detection" Chrome Extension is an innovative tool that harnesses the power of neural networks to help users identify and avoid misinformation while browsing the internet. Unlike other fact-checking tools that rely on external databases or pre-written rules, this extension performs all analysis completely within the browser, ensuring maximum privacy and security for users. 

With its state-of-the-art neural network technology, the extension can quickly and accurately identify potential fake news articles based on a variety of factors, including the credibility of the source, the use of emotional or sensational language, and the presence of misleading or inaccurate information. When a potentially misleading article is detected, the extension displays a warning message to the user, along with a detailed explanation of why the article was flagged.

One of the best things about the "Fake News Detection" Chrome Extension is that it is completely free to use and does not require any kind of user login or registration. This means that anyone can download and install the extension in just a few clicks and start using it immediately. Because the extension is entirely self-contained and does not rely on external databases or user data, users can trust that their privacy is always protected. There are no hidden fees or charges, and no personal information is ever collected or shared.

Overall, the "Fake News Detection" Chrome Extension is an essential tool for anyone who wants to stay informed while avoiding the pitfalls of fake news and misinformation.                    

Grundlæggende oplysninger om udvidelsen

Navn Fake News Detector Fake News Detector
ID ljikbdglbdcmeamlidfjgfjifoclgedc
Officiel URL https://chromewebstore.google.com/detail/fake-news-detector/ljikbdglbdcmeamlidfjgfjifoclgedc
Beskrivelse Completely in-browser Fake News detection through neural networks.
Filstørrelse 112 MB
Antal Installationer 50
Nuværende Version 0.0.1
Senest Opdateret 2023-04-01
Udgivelsesdato 2023-04-01
Udvikler https://gioelecrispo.github.io
E-mail [email protected]
Betalingsmetode free
Udvidelseswebsted https://gioelecrispo.github.io/fake-news-detection-chrome-extension
Hjælpeside-URL https://gioelecrispo.github.io/fake-news-detection-chrome-extension/feedback
Understøttede Sprog en
manifest.json
{
    "update_url": "https:\/\/clients2.google.com\/service\/update2\/crx",
    "manifest_version": 3,
    "name": "Fake News Detector",
    "description": "Completely in-browser Fake News detection through neural networks.",
    "version": "0.0.1",
    "background": {
        "service_worker": "\/background.js"
    },
    "permissions": [
        "activeTab",
        "contextMenus",
        "storage"
    ],
    "action": {
        "default_icon": "logo.png",
        "default_popup": "popup.html"
    },
    "icons": {
        "16": "icons\/logo-16x16.png",
        "48": "icons\/logo-48x48.png",
        "128": "icons\/logo-128x128.png"
    },
    "options_ui": {
        "open_in_tab": false,
        "page": "options.html"
    },
    "content_scripts": [
        {
            "matches": [
                ""
            ],
            "js": [
                "\/contentSelection.js",
                "\/contentPage.js"
            ],
            "css": [
                "\/content.css"
            ]
        }
    ],
    "options_page": "options.html",
    "content_security_policy": {
        "extension_pages": "script-src 'self' 'wasm-unsafe-eval'; object-src 'self'"
    }
}