TextScore Resources

Your comprehensive guide to text analysis, platform optimization, and the future of content ownership

Welcome to the TextScore resource center. Here you'll find detailed documentation on how our analysis works, strategies for optimizing your content across different platforms, and insights into the emerging world of blockchain-based publishing.

Whether you're a content creator, marketer, or writer looking to understand how platforms evaluate your text, this guide provides actionable insights backed by research and real-world testing.

TextScore Documentation

Understanding how TextScore analyzes your content is key to creating more effective, platform-friendly text. Our system combines traditional linguistic analysis with modern AI to provide comprehensive feedback.

Our Two-Phase Analysis

Phase 1: Local Analysis

This initial phase runs instantly in our backend, checking for over a dozen metrics like readability, passive voice, link security, and spam triggers. It provides the core of your report without needing a costly AI call.

  • Runs in under 200ms
  • No external API calls
  • Covers 90% of content issues
  • Always available

Phase 2: AI Analysis

If the local analysis detects moderate risk or complexity, we engage our AI model. This phase provides deeper, qualitative feedback, including shadowban risk assessment and suggestions from the AI Writing Coach.

  • Contextual understanding
  • Shadowban risk assessment
  • Writing improvement suggestions
  • Platform-specific insights

Scoring System

TextScore uses a three-tier system to make complex metrics instantly understandable:

Good - Green indicators

Content that follows best practices and is unlikely to trigger platform restrictions. These scores indicate your text is well-optimized for engagement and distribution.

Fair - Yellow indicators

Content that has some issues but isn't critically problematic. These scores suggest areas for improvement that could boost your content's performance.

Poor - Red indicators

Content that likely violates platform guidelines or best practices. These scores indicate urgent issues that should be addressed before publishing.

Detailed Metric Breakdown

Here's how we calculate each score and what it means for your content:

Readability Score

Calculation: Based on the Flesch Reading Ease formula, which considers sentence length and syllable count.

Scoring: 60+ = Good, 30-59 = Fair, Below 30 = Poor

Impact: Higher readability increases engagement and reduces bounce rates. Most platforms favor easily readable content.

Passive Voice Detection

Calculation: Identifies sentences using passive construction (be verbs + past participles).

Scoring: 0-10% = Good, 11-20% = Fair, 21%+ = Poor

Impact: Active voice creates more engaging, direct content that performs better on social platforms.

Link Security Analysis

Calculation: Scans URLs for shortened links, IP addresses, suspicious domains, and known malicious patterns.

Scoring: No risks = Good, Minor risks = Fair, Security threats = Poor

Impact: Platforms heavily penalize content with unsafe links, often resulting in immediate shadowbanning.

Spam Filter Analysis

Calculation: Checks for excessive punctuation, ALL CAPS, promotional language, and known spam triggers.

Scoring: Low risk = Good, Moderate risk = Fair, High risk = Poor

Impact: Spam-like content is automatically downranked or hidden by platform algorithms.

Forbidden Keywords

Calculation: Identifies words and phrases that commonly trigger content restrictions across platforms.

Scoring: No triggers = Good, Minor triggers = Fair, Major triggers = Poor

Impact: Certain keywords can cause immediate content suppression or account penalties.

Content Quality

Calculation: Combines multiple factors including sentence variety, vocabulary richness, and structural coherence.

Scoring: High quality = Good, Average quality = Fair, Low quality = Poor

Impact: Quality content receives better organic reach and engagement from platform algorithms.

Sentiment Analysis

Calculation: Uses natural language processing to determine overall emotional tone and polarity.

Scoring: Balanced/positive = Good, Neutral = Fair, Highly negative = Poor

Impact: Extremely negative content often receives reduced distribution on social platforms.

Excessive Punctuation

Calculation: Counts repeated punctuation marks and unusual character combinations.

Scoring: Normal use = Good, Moderate excess = Fair, Extreme excess = Poor

Impact: Excessive punctuation is a common spam indicator that triggers automated filters.

Shadowbanning Across Platforms

Understanding how different platforms suppress content is crucial for maintaining visibility and engagement. Each platform has unique algorithms and trigger points that can affect your content's reach.

Understanding Shadow Banning

Shadow banning operates as an invisible content moderation system where platforms limit your reach without notification. Unlike traditional bans that inform you of violations, shadow banning keeps you posting into a void - your content appears normal to you, but its visibility to others is severely restricted or eliminated entirely.

The Real Impact

Research shows shadow-banned accounts typically experience:

  • 50-99% reduction in content reach
  • Two-thirds drop in engagement metrics
  • Stagnant follower growth
  • Direct revenue impact for monetized creators

Detection Mechanisms

Modern platforms employ sophisticated algorithms that analyze:

  • Keyword Analysis: Static blacklists and dynamic detection
  • Behavioral Patterns: Posting frequency and interaction patterns
  • Content Classification: Machine learning risk categorization
  • Network Analysis: Connection patterns and coordination behaviors

X (formerly Twitter): Advanced Detection Signals

Despite official denials, X employs several visibility management techniques that creators should understand. The platform's "Freedom of Speech, Not Freedom of Reach" philosophy means content stays live but reach can be severely limited.

Key Shadow Ban Mechanisms
  • Search Visibility Restrictions: Your tweets may not appear in search results, even with exact username queries
  • Reply Suppression: Comments hidden under "Show more replies" or marked as "potentially sensitive"
  • Algorithmic De-amplification: Content deprioritized in recommendation algorithms
  • Engagement Throttling: Reduced impressions and interactions without explanation
Detection Indicators
  • Sudden drop in tweet impressions (check Twitter Analytics)
  • Replies consistently hidden or marked sensitive
  • Absence from hashtag feeds you regularly use
  • Dramatic decrease in profile visits
  • Followers reporting they don't see your tweets
Recovery Strategies
  • Content Audit: Review recent posts for potential triggers
  • Behavioral Reset: Reduce posting frequency for 48-72 hours
  • Engagement Quality: Focus on meaningful conversations over volume
  • Appeal Process: Use Twitter's support form, though response times vary
  • Platform Best Practices: Keep tweets conversational, use 1-2 hashtags max, provide context for links

Facebook: The News Feed Algorithm's Hidden Rules

Facebook's "reduce" strategy operates through sophisticated content demotion. Research indicates Facebook's suppression can cause 93-99% reach reduction for flagged pages - essentially making them invisible.

Demotion Triggers
  • Low-Quality Signals: Clickbait, engagement bait ("Like if you agree"), sensationalist claims
  • Borderline Content: Near-violation material that doesn't cross removal threshold
  • Fact-Check Failures: Content rated false by third-party checkers
  • Account History: Past violations influence future content distribution
  • External Link Heavy: Posts with multiple outbound links
Visibility Reduction Scale

Research-backed impact levels:

  • Mild Reduction: 20-40% reach decrease
  • Moderate Suppression: 50-70% visibility loss
  • Severe Shadow Ban: 93-99% reach elimination
  • Distribution Limits: Content shown only to immediate network
Platform-Specific Recovery
  • Content Mix: Balance promotional posts (20%) with community engagement (80%)
  • Native Features: Prioritize Facebook-hosted video and live content
  • Timing Strategy: Post when your audience is most active
  • Community Standards: Review monthly policy updates
  • Appeal Tools: Use "Account Status" feature to check restrictions

Medium: Editorial Gatekeeping and Economic Impact

Medium's shadow banning manifests as stories being "not chosen for distribution." This directly impacts monetization - non-distributed stories earn minimal or no revenue through the Partner Program.

Distribution Blockers
  • Meta-Content: Articles about writing on Medium itself
  • Shortform Posts: Content under 150 words automatically excluded
  • Press Releases: Promotional or announcement-style posts
  • Quality Signals: Poor formatting, grammar, or structure
  • Duplicate Content: Previously published elsewhere
  • Excessive Self-Promotion: Too many links to your own content
Economic Impact for Writers

Partner Program consequences:

  • Non-distributed stories earn minimal revenue
  • Exclusion from topic pages and newsletters
  • Loss of potential "Boost" selection by editors
  • Limited to existing follower reach only
  • No algorithmic recommendation to new readers
Success Strategies
  • Long-form Content: Aim for 1000+ word articles with depth
  • Original Research: Provide unique insights and data
  • Professional Formatting: Use headers, images, and proper structure
  • Topic Relevance: Write for established Medium publications
  • Engagement Quality: Focus on read time over clicks
  • Appeal Process: Contact trust@medium.com directly for best results

Discord: Trust Levels and Automated Moderation

Discord's approach differs with server-level control and automated trust systems. The platform uses Verification Levels that function as an automated trust hierarchy, proactively limiting new users.

Verification Level Impact

Server security tiers affect participation:

  • None: Immediate participation allowed
  • Low: Email verification required
  • Medium: 5-minute account age requirement
  • High: 10-minute server membership wait
  • Highest: Phone verification mandatory
AutoMod Triggers & DM Filtering
  • Spam Patterns: Repeated messages or mass mentions
  • Keyword Filters: Server-defined blocked terms
  • Rate Limiting: Excessive actions in short timeframes
  • Trust Scoring: New account behavior analysis
  • DM Spam Filter: Non-friends routed to "Message Requests"
  • Suspicious Links: Phishing or malware attempts
Community Best Practices
  • Server Culture: Learn each community's unique rules and norms
  • Channel Usage: Post content in appropriate channels only
  • Mention Etiquette: Avoid excessive @mentions or @everyone
  • Quality Contribution: Add value to conversations
  • Rate Awareness: Respect posting frequency limits
  • Appeal Process: Server-specific (contact admins) or platform-level via Account Standing

Protecting Your Content: Proactive Strategies

Universal Best Practices

  • Platform Literacy: Study current community guidelines monthly
  • Content Hygiene: Audit old posts for newly prohibited content
  • Behavioral Authenticity: Maintain human-like posting patterns
  • Analytics Monitoring: Track engagement rates weekly

Red Flag Keywords to Avoid

Research identifies commonly flagged terms:

  • Financial promises ("make money fast")
  • Medical claims (unverified health benefits)
  • Political extremes (hate speech indicators)
  • Adult content markers (even in educational context)
  • Spam indicators ("link in bio", excessive emojis)

Appeal Process Effectiveness

Platform comparison of shadow ban appeals:

  • Most Responsive: Medium (trust@medium.com)
  • Moderately Responsive: Facebook/Instagram (Account Status tool)
  • Least Responsive: X/Twitter (general support form)
  • Variable: Discord (depends on server admins)

The Bigger Picture: Algorithmic Bias & Community Impact

Disproportionate Impact on Marginalized Communities

Research reveals certain communities face higher shadow banning rates:

  • LGBTQIA+ creators: Content miscategorized as adult
  • Activists and journalists: Political content flagged as controversial
  • Artists: Body-positive work marked as inappropriate
  • Health educators: Medical content triggering misinformation filters
The Rise of "Algospeak"

Creators develop coded language to evade filters:

  • "Unalive" instead of "kill"
  • "Seggs" for "sex"
  • "Le$bean" for "lesbian"
  • Corn emoji 🌽 for adult content
  • "Accountants" for sex workers

This linguistic evolution highlights the need for more nuanced moderation systems.

Future Outlook & Regulatory Changes

Emerging regulations are pushing for greater transparency:

  • EU Digital Services Act: Mandatory visibility reduction notifications
  • Human Review Requirements: Appeals must include human oversight
  • Transparency Reports: Platforms must disclose "soft moderation" statistics
  • User Control: Right to opt-out of algorithmic recommendations

Creator Empowerment: Documentation & Recovery

Evidence Collection

  • Regular analytics screenshots
  • Engagement pattern documentation
  • Policy compliance records
  • Before/after comparison data

Community Support

  • Join platform-specific creator groups
  • Share detection methods and solutions
  • Collaborative appeals for systemic issues
  • Cross-platform solidarity networks

Platform Diversification

  • Build audiences across multiple platforms
  • Maintain direct communication channels
  • Create backup content repositories
  • Develop platform-independent revenue

Understanding shadow banning empowers you to navigate platform algorithms more effectively, protecting your content's reach while maintaining authentic engagement with your audience.

Text on Blockchain - Future of Content Ownership

As artificial intelligence transforms content creation, blockchain technology offers writers and creators new ways to protect, verify, and monetize their work. This emerging field represents a fundamental shift in how we think about digital content ownership.

Digital Content Ownership

Traditional publishing models centralize control with platforms and publishers. Blockchain publishing decentralizes ownership, giving creators direct control over their intellectual property.

Immutable Records

Once published to blockchain, your content becomes part of an unchangeable permanent record. This creates indisputable proof of creation date and authorship.

Decentralized Storage

Content stored across distributed networks can't be censored, removed, or lost due to platform changes or corporate decisions.

Smart Contract Protection

Automated contracts can enforce usage rights, licensing terms, and revenue sharing without intermediaries or legal battles.

Authenticity & Traceability

In an era of AI-generated content, proving human authorship becomes increasingly valuable. Blockchain provides cryptographic proof of content origin and modification history.

Verification Methods
  • Cryptographic signatures: Mathematical proof of authorship
  • Timestamp verification: Immutable creation and modification dates
  • Version control: Complete edit history preserved
  • Identity linking: Tie content to verified creator profiles
Anti-Plagiarism Benefits
  • Prove original authorship in disputes
  • Track unauthorized usage across the web
  • Automated detection of content theft
  • Legal evidence in intellectual property cases

Monetization Models

Blockchain enables new economic models for content creators, from micro-payments to programmable royalties that generate ongoing revenue.

Direct Reader Payments

Readers can pay creators directly without platform fees. Micropayments make it feasible to monetize individual articles or even paragraphs.

Subscription NFTs

Creators can issue subscription tokens that grant access to exclusive content, creating sustainable recurring revenue streams.

Collaborative Rewards

Smart contracts can automatically distribute payments among co-authors, editors, and other contributors based on predefined agreements.

Derivative Rights

Earn royalties when others build upon your work, creating incentives for remixing and collaborative creation.

OpenWord.io - Blockchain Publishing Platform

OpenWord.io represents the next generation of content publishing, combining the power of blockchain with user-friendly tools for writers and readers.

Platform Features
  • Instant blockchain publishing: One-click publication to decentralized storage
  • Built-in monetization: Multiple revenue streams including tips, subscriptions, and sales
  • AI-resistant verification: Prove human authorship in the age of artificial intelligence
  • Global accessibility: Censorship-resistant content available worldwide
  • Creator dashboard: Track earnings, engagement, and content performance
Getting Started

OpenWord.io makes blockchain publishing accessible to writers without technical expertise. The platform handles the complexity while providing powerful tools for content creators.

  • Create your writer profile and connect your wallet
  • Upload your content with automatic blockchain timestamping
  • Set your monetization preferences and pricing
  • Share your work and start earning from day one

As the digital landscape continues to evolve, platforms like OpenWord.io are pioneering new ways for creators to maintain control over their work while building sustainable careers in the decentralized economy.