πŸ‡ΊπŸ‡Έ Fighting Misinformation Since 2025

RATE
THE
NEWS

The media landscape is broken by design.
We are fixing it by consensus.

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The Problem

Trust in media is at an
all-time low.

Algorithmic feeds reward outrage over accuracy. No single institution can fix this β€” but millions of informed readers can.

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Read

Aggregate news from thousands of sources in one personalized, distraction-free feed.

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Rate

Crowdsource the detection of political bias and fake news with four clear categories.

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Reveal

Use AI and community data to score the true credibility of authors and outlets.

The Anatomy of a Rating

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Liberal

Content that leans left, prioritizing progressive viewpoints or framing. Not false β€” politically slanted.

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Conservative

Content that leans right, prioritizing traditional or conservative framing. Not false β€” politically slanted.

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Independent

Centrist, balanced, or strictly factual reporting without obvious ideological spin.

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Fake News

Factually incorrect, fabricated, or severely manipulated information. The highest flag a community can assign.

Community Rating aggregates individual votes into a definitive bias spectrum for every article.

Human Perception vs. Machine Precision

Bias isn't inherently fake, and facts can still be manipulated. FLIC measures both.

πŸ‘₯ Human Insight
πŸ€– AI Insight
The Actor
The FLIC Community (Crowdsourced)
The FLIC AI (Algorithmic)
The Metric
Subjective Bias (Left / Right / Center)
Objective Manipulation (Credibility / Context)
The Method
Thousands of aggregated user votes
Semantic analysis and pattern recognition
The Result
Community bias label on every article
Credibility score with manipulation breakdown
"Bias isn't inherently fake, and facts can still be manipulated. FLIC measures both."

The Accountability Hierarchy

Every tap you make ripples upward through the entire media ecosystem.

Institutional Trust Author scores aggregate to define the true bias and credibility of the entire media outlet.
Author Reputation The article score permanently impacts the individual journalist's historical baseline.
Article Consensus Your vote merges with the community to define the article's bias and trust score.
The Vote You rate a single article. It takes one tap.

Every single tap reshapes the media landscape.

Progression

From Reader to Auditor

01
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The Participant

Cast your first vote to become an Active Rater in the FLIC community.

02
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The Multi-Perspective Thinker

Use all 4 categories to develop a Centrist Eye and see the full picture.

03
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The Fact Checker

Target and flag misinformation. Your Fake News votes carry real weight.

04
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The Trusted Analyst

200+ accurate votes. Maximum trust level. Your votes carry more algorithmic weight.

STOP CONSUMING.
START ANALYZING.

FLIC transforms passive readers into an active network of media auditors. Together, human consensus and machine intelligence can restore trust to the information age.

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