Global Reputation Ledger

Know Who You're
Talking To

Truth Score shows live reputation signals beside detected social usernames while the extension is active. It records deepfake, abuse, spam, misinformation, and unscientific incidents in the ledger.

InstagramX / TwitterTikTokYouTube FacebookLinkedInSnapchatTelegram

How It Works

Six steps from install to insight

STEP 01

Extension Activates

Runs on supported social pages while protection is enabled. The live session timer starts in the panel.

STEP 02

Username Detection

Finds visible usernames as the page changes, including feeds, profiles, posts, and comment sections.

STEP 03

Score Lookup

Checks each detected social ID against the ledger. New clean users show a safe score until incidents are recorded.

STEP 04

AI Analysis

Truth Score AI checks comments for abuse or spam and checks media for deepfake signals.

STEP 05

Pill Injected

A compact score pill appears beside the social ID. Tap or click to expand the current score breakdown.

STEP 06

Ledger Updated

Evidence is stored as a secure hash. Duplicate reports are automatically rejected.

Score Bands

What each score means

ScoreLabelMeaning
85โ€“100Clean โœ…No incidents recorded. Verified trustworthy.
65โ€“84Mostly Safe ๐Ÿ™‚Minor or older incidents. Generally safe.
45โ€“64Caution ๐Ÿ‘€Some concerning patterns. Stay alert.
30โ€“44At Risk โš ๏ธMultiple incidents. Proceed carefully.
0โ€“29Dangerous ๐Ÿ’€Serious and repeated violations detected.

Flag Categories

Four types of violations tracked

๐Ÿค–

Deepfake

Truth Score AI detects AI-generated or manipulated images and supported media frames that show synthetic-content signals.

โˆ’12 pts per incident
๐Ÿ’ฌ

Bully / Spam

Truth Score AI detects harassment, threats, abusive language, and spam patterns in multilingual comments.

โˆ’4 to โˆ’14 pts per incident
๐Ÿ“ฐ

Misinformation

Records misinformation incidents when the extension or review flow identifies a supported claim as misleading.

โˆ’7 pts per incident
๐Ÿ”ฌ

Unscientific

Records unscientific content such as unsafe health claims, pseudoscience, or unsupported remedies when detected.

โˆ’5 pts per incident

Network Pulse

0Users tracked
0Incidents logged
8Platforms
LiveWhile active

Privacy by Design

What we do โ€” and don't โ€” store

๐Ÿ”’ No raw text stored

Comments are hashed with SHA256. The original text is never saved to any database.

๐Ÿ–ผ๏ธ Media minimized

Media is used only for analysis. The ledger keeps the evidence hash, category, score impact, and result.

๐Ÿงฎ No double counting

The same evidence cannot be submitted twice. Hash deduplication prevents score inflation.

โœ… Clean users protected

Clean users show a safe score, and duplicate evidence is blocked so the same incident cannot inflate penalties.

Supported Browsers

โœ“ Chromeโœ“ Firefoxโœ“ Safari buildโœ“ Chromium browsers

Use Cases

Where Truth Score helps

Truth Score helps people and teams make better decisions before trust is given. These examples follow the current ledger categories: deepfake, bully/spam, misinformation, and unscientific content.

Personal Safety

Dating & Relationships

Before meeting someone from a dating app, check their social ID. Deepfake or abuse history gives you context before you decide to meet.

Parents & Children

If your teenager is talking to someone online, a clean score can reassure you; a dangerous score can start the conversation that matters.

Friendships & Trust

When someone new enters your circle, Truth Score can reveal patterns of targeted harassment before they get close.

Professional & Business

Hiring

Before an offer letter, teams can review public social behavior signals such as threats, abuse, or repeated harassment patterns.

Brand Collaborations

Brands can check whether a creator has repeated misinformation or unscientific content flags before collaboration becomes liability.

Influencer Marketing

Agencies can evaluate creator trust alongside reach and engagement, using behavior history instead of vanity metrics alone.

Vendor & Partner Vetting

Before working with a freelancer, consultant, or partner, teams can check professional social IDs for relevant red flags.

Community & Social

Comment Sections

Readers can see who has a history of harassment and who appears to be engaging in good faith.

Online Communities

Admins can review incoming members' social IDs before granting access to private communities.

Event Organizers

Conference, workshop, and meetup teams can check social IDs during registration review to spot known abuse patterns.

Health & Safety

Medical Misinformation

Health workers and caregivers can check whether an account has a track record of unsafe or misleading health claims.

Science Communication

Science communicators can show audiences when an account has repeated unscientific flags instead of arguing from one post alone.

Journalism & Research

Source Verification

Journalists can check whether a social source has a history of misinformation before relying on a tip.

Fact-Checking Teams

Investigators can use account history to spot repeated patterns around viral claims and coordinated abuse.

Academic Research

Researchers studying online abuse, misinformation, or harassment can work with structured, hashed incident data.

Legal & Institutional

Evidence for Complaints

Victims of online harassment can point to timestamped, hash-protected incidents instead of relying only on scattered screenshots.

Platform Policy Teams

Trust and safety teams can use Truth Score as an external signal when reviewing accounts already flagged by users.

Cybercrime Investigations

Teams investigating harassment, deepfake abuse, or coordinated campaigns can review a structured ledger of incidents.

Emerging Use Cases

AI Agent Trust

As online agents interact for people, reputation signals can help decide whether an account is safe to engage with.

Web3 & DAO Governance

Communities can review account behavior patterns when assessing manipulation risk around proposals and votes.

Insurance & Risk

Risk teams can consider public social behavior signals as part of broader digital risk reviews.

Marriage & Background Checks

Families doing due diligence can add public digital behavior history alongside existing background checks.

The core insight

You cannot currently verify the behavioral record of most people you meet online.

Truth Score makes that record visible through live score pills, structured categories, hash-protected evidence, and duplicate-safe reporting. The internet gave everyone a voice. Truth Score gives everyone a reputation.

Check Your Score

Enter your social media ID

Search a social username already seen by the ledger to view its latest Truth Score.

How to Improve

Understanding your Truth Score

Your score starts at 100 and changes when supported evidence is recorded. Here is what moves it and how to recover.

The Formula

Score = 100 โˆ’ Penalties + Redemption

Penalties

Deepfake: โˆ’12 pts
Bully severe: โˆ’14 pts
Bully moderate: โˆ’8 pts
Bully mild: โˆ’4 pts
Misinformation: โˆ’7 pts
Unscientific: โˆ’5 pts

Redemption

90-day clean: +8 pts
180-day clean: +15 pts
1-year clean: +25 pts
Improving trend: +5 pts
Max redemption: +30 pts

Incidents decay over time

Last 30 days100%
31 โ€“ 90 days70%
91 โ€“ 180 days40%
180+ days15%
๐Ÿ›‘

Stop posting deepfake content immediately

Each new deepfake costs โˆ’12 pts. Stopping prevents further decline.

๐Ÿ’ฌ

Choose your words carefully

Mild incidents: โˆ’4 pts. Severe threats: โˆ’14 pts. The difference is significant.

๐Ÿ“‹

Fact-check before you post

Misinformation: โˆ’7 pts per incident. A quick search can save your score.

โณ

Stay clean โ€” time does the rest

Past incidents decay automatically. 180+ day old incidents count at just 15% weight.

Confidential Admin Access

Admin Panel

Authorised personnel only. Session ends when tab is closed.

Incorrect credentials. Access denied.
Admin
โ€”Total Users
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