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AI-Based-Fake-News-Detection-System

AI-Based Fake News Detection System is a machine learning project that detects whether a news article is REAL or FAKE. The system uses Python, TF-IDF feature extraction, and Logistic Regression to analyze news text and classify it. It provides a simple and efficient approach to identifying potentially misleading information.

This is 1 of 68 launches in social media engagement and reporting bots — see how it stacks up on momentum and crowding →

159 other launches read as similar to this one →

Details

External ID
1402039763
Source
GITHUB
Company
—
Product
AI-Based-Fake-News-Detection-System
Website domain
github.com
Launched
Oct. 2, 2026
Cohort
—
Upvotes
8
Upvotes percentile
0.042292490118577074
Tags
—
Fetched at
Oct. 5, 2026, 5:03 p.m.
Updated at
Oct. 5, 2026, 5:03 p.m.

Enrichment

Theme
social media engagement and reporting bots
Vertical
Media & entertainment
Function
Compliance & governance
Audience
Prosumer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
machine learning system for detecting fake news articles
Manually corrected
False

Could you build this?

Yes This is a basic tutorial-level machine learning project using Scikit-Learn's TF-IDF and Logistic Regression on a standard dataset, easily generated via an AI prompt.

Competitors

Other products that read as similar to this one — 159 launches clear the similarity bar, closest 8 shown.

Attention rank: #159 of 160 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 314 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a compliance & governance tool for Horizontal yet.