Fake News Detector

Completely in-browser Fake News detection through neural networks.

Apa itu Fake News Detector?

Fake News Detector adalah ekstensi Chrome yang dikembangkan oleh https://gioelecrispo.github.io, dan fitur utamanya adalah "Completely in-browser Fake News detection through neural networks.".

Screenshot Ekstensi

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Unduh Berkas CRX Ekstensi Fake News Detector

Unduh file ekstensi Fake News Detector dalam format crx, pasang ekstensi Chrome secara manual di peramban, atau bagikan file crx dengan teman untuk menginstal ekstensi Chrome dengan mudah.

Petunjuk Penggunaan Ekstensi

                        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.                    

Informasi Dasar Ekstensi

Nama Fake News Detector Fake News Detector
ID ljikbdglbdcmeamlidfjgfjifoclgedc
URL Resmi https://chromewebstore.google.com/detail/fake-news-detector/ljikbdglbdcmeamlidfjgfjifoclgedc
Deskripsi Completely in-browser Fake News detection through neural networks.
Ukuran File 112 MB
Jumlah Instalasi 50
Versi Saat Ini 0.0.1
Terakhir Diperbarui 2023-04-01
Tanggal Publikasi 2023-04-01
Pengembang https://gioelecrispo.github.io
Email [email protected]
Tipe Pembayaran free
Situs Ekstensi https://gioelecrispo.github.io/fake-news-detection-chrome-extension
URL Halaman Bantuan https://gioelecrispo.github.io/fake-news-detection-chrome-extension/feedback
Bahasa yang Didukung 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'"
    }
}