De-Slop

A Chrome extension that automatically detects and removes AI-generated "slop" content from web pages.

Features

Core Detection

• Three-tier detection system with weighted pattern matching (600+ patterns)
• Real-time scanning of dynamically loaded content
• Badge counter showing blocked slop on current page
• Configurable sensitivity (1-5 slider)
• Detection Only Mode - highlight slop instead of removing it, with hover tooltips
• Custom pattern editor - add your own slop patterns with custom weights

Tools

• Interactive Slop Checker - paste text and see what gets flagged
  • Markdown rendering support
  • Real-time highlighting
  • Match explanations
• Slop Machine - gamified learning tool
  • Slot machine interface for discovering better word choices
  • Full searchable index of 90+ slop terms and alternatives
  • Track your progress

LinkedIn Fixer

When on LinkedIn.com, additional features activate:

• Block auto-play videos
• Block ad tracking
• Darker mode - true black LinkedIn theme

Advanced Features

• Emoji slop detection - 166 patterns to flag emoji spam and engagement bait
  • Emoji + buzzword combinations (🚀 Launching, 💡 Innovating)
  • Specific cringe patterns (👇 link below, 🔥 hot take)
  • Emoji chains, walls, and formatting abuse
  • Call-to-action spam (Click 👉, Share 📣)
• Stop-word filtering - detect "I'm excited to announce" style posts
• Em dash detector - AI loves em dashes
• Export/import custom pattern sets

Installation

From Chrome Web Store

Coming soon

Development Mode

1. Clone this repository
2. Open Chrome and go to chrome://extensions/
3. Enable "Developer mode" (top-right)
4. Click "Load unpacked"
5. Select the src directory

Detection System

De-Slop uses a three-tier aggression system:

Tier 1: AI-Specific Indicators (3 points each)

Signature AI phrases and patterns:

• "delve into", "navigate the landscape", "tapestry of", "realm of possibilities"
• Em dash overuse, excessive transitions
• "In today's fast-paced world...", "As we continue to evolve..."
• Stop words: "I'm excited to announce", "Thrilled to share"
• Listicle patterns: "Top 10 ways to...", "Ultimate guide to..."

Active at all sensitivity levels

Tier 2: Corporate Buzzwords (2 points each)

LinkedIn's greatest hits:

• "synergy", "leverage", "circle back", "low-hanging fruit"
• "take this offline", "touch base", "thought leadership"
• "AI-powered", "blockchain-enabled", "digital transformation"

Active at sensitivity 3+

Tier 3: Marketing Spam (1 point each)

The widest net:

• "free", "guaranteed", "limited time offer", "buy now"
• "amazing", "incredible", "revolutionary", "mind-blowing"
• "basically", "essentially", "actually"

Active at sensitivity 4+

Scoring Thresholds

Sensitivity	Threshold	Description
1	15 points	Very conservative - obvious AI only
2	12 points	Conservative
3	9 points	Balanced (default) - AI + corporate
4	6 points	Aggressive - includes marketing
5	4 points	Nuclear - maximum detection

Usage

Basic Controls

1. Click the extension icon
2. Toggle on/off
3. Adjust sensitivity slider
4. View blocked slop count

Interactive Checker

1. Click [ IS MY POST SLOP? ]
2. Paste your text
3. See highlighted matches with explanations
4. Toggle markdown rendering if needed

Slop Machine

1. Click [ SLOP MACHINE ]
2. Spin for random slop/better alternatives
3. Or browse the full searchable index
4. Filter by category (AI, Corporate, Marketing, Stop Words)

Pattern Customization

1. Click [ CUSTOMIZE PATTERNS ]
2. Add/delete patterns in any tier
3. Create custom patterns with custom weights
4. Export/import pattern sets
5. Changes save automatically

LinkedIn Fixer

When on LinkedIn, additional toggles appear:

• Block auto-play videos
• Block ad tracking
• Enable darker mode (true black theme)

How It Works

1. Scans page content using platform-specific selectors
2. Assigns weighted "slop score" based on pattern matches
3. Removes elements exceeding threshold
4. Updates badge counter
5. Monitors for dynamic content (infinite scroll, AJAX)

Platform Support

• LinkedIn: .feed-shared-update-v2 (individual posts)
• Twitter/X: [data-testid="tweet"]
• Medium: article, .postArticle
• All sites: Generic article/post/card selectors

Repository Structure

DeSlop/
├── src/                  # Extension source code
│   ├── manifest.json     # Extension configuration
│   ├── background.js     # Service worker for badge updates
│   ├── content.js        # Main detection logic (600+ patterns)
│   ├── content.css       # Styles for hiding/highlighting detected slop
│   ├── popup.*           # Main sidebar interface
│   ├── checker.*         # Interactive slop checker
│   ├── slop-machine.*    # Learning slot machine
│   ├── settings.*        # Pattern customization UI
│   ├── linkedin-fixer.js # Video blocking & darker mode
│   ├── rules.json        # Ad blocking rules
│   └── icons/            # Extension icons
├── assets/               # Screenshots and marketing images
├── De-Slop.png          # Logo
├── privacy.html         # Privacy policy
├── LICENSE              # GPL-3.0 license
└── README.md            # This file

Privacy

De-Slop:

• ✓ Runs entirely locally - no data sent to servers
• ✓ Stores settings in Chrome sync storage
• ✓ No analytics or tracking
• ✓ No external API calls
• ✓ Open source - inspect the code

Permissions

• storage - Save your settings
• activeTab - Access current page content
• declarativeNetRequest - Block LinkedIn ads (optional)
• <all_urls> - Scan any page for slop

Known Limitations

• Pattern-based detection may have false positives
• Very short content (<100 chars) skipped to reduce false positives
• Platform selectors may need updates when sites change
• If your entire LinkedIn feed disappears - it's all slop! Lower sensitivity.

Version History

v2.4.4 - Detection Only Mode & Emoji Expansion

• NEW: Detection Only Mode - Highlight slop instead of removing it
  • Hover tooltips show which patterns triggered detection
  • Visual feedback with red borders and pulsing animation
• Massively expanded emoji detection - From 21 to 166 patterns
  • 80+ emoji + buzzword combinations
  • 35+ specific cringe emoji patterns
  • Emoji formatting abuse detection (chains, walls, bullet points)
  • Call-to-action and hashtag spam detection
• Simplified UI - Removed redundant tier toggles
  • Sensitivity slider now directly controls tier activation
  • Collapsible sections for better organization
• Enhanced checker tool - Works both in-browser and standalone
  • Improved error handling and fallback support
  • Full pattern sync with live detection engine
• Pattern coverage expanded - Now 600+ total detection patterns

v2.4.3 - Production release

• Fixed pattern customization (Manifest V3 compliance)
• All features stable and tested

v2.4.2 - Slop Machine

• Added gamified learning tool (slot machine)
• 90+ slop/better pairs with searchable index

v2.4.1 - Markdown improvements

• Fixed markdown rendering placeholders

v2.4.0 - Markdown support

• Added markdown toggle to checker

v2.3.3 - UI improvements

• Fixed checker layout and spacing

v2.3.1 - Stop words & em dashes

• Added marketing engagement openers
• Em dash instant detection

v2.2.0 - Interactive checker

• Added slop checker tool
• Real-time text analysis

v2.1.0 - Emoji detection

• Added emoji slop toggle

v2.0.0 - LinkedIn Fixer

• Video blocking
• Ad blocking
• Darker mode

v1.0.0 - Initial release

• Three-tier detection system
• Basic popup controls

License

GNU General Public License v3.0 (GPL-3.0)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

See LICENSE file for full license text.

Credits

Made by Kief Studio (https://kief.studio) Developed by HxHippy