AI Text Detection

ReviewerZero analyzes manuscript text to detect AI-generated content and potential plagiarism. Our system works at the paragraph level, providing detailed insights into the authenticity of written content.

Why AI Text Detection?

The rise of large language models has made it easier to generate human-like text. While AI tools can be valuable writing aids, undisclosed AI-generated content in scientific manuscripts raises concerns about:

• Authenticity - Is the work genuinely the authors' own?
• Accountability - Who is responsible for the claims made?
• Transparency - Are AI contributions properly disclosed?

Our detection system helps identify AI-generated content so editors and reviewers can make informed decisions.

How It Works

Paragraph-Level Analysis

Each paragraph in the manuscript is individually analyzed:

1. Text extraction - Paragraphs are identified and extracted from the document
2. Pattern analysis - Machine learning models analyze writing patterns
3. Scoring - Each paragraph receives a probability score
4. Classification - Paragraphs are classified based on confidence thresholds

What We Analyze

The system examines multiple characteristics of the text:

• Writing patterns - Sentence structure, word choice, and flow
• Statistical signatures - Patterns characteristic of AI-generated text
• Consistency - Variations in style throughout the document
• Linguistic markers - Features typical of human vs. machine writing

Understanding Results

Probability Scores

Each paragraph receives a probability score indicating the likelihood of AI generation:

Classifications

Paragraphs are assigned one of three classifications:

Visual Display

Results are displayed in context:

• Highlighted paragraphs show their classification
• Click on any paragraph to see detailed scores
• Navigate between flagged sections easily
• View the full document with overlaid results

What We Detect

Our system can identify content from:

• Large language models - ChatGPT, Claude, Gemini, and similar tools
• AI writing assistants - Grammarly AI, Jasper, Copy.ai, etc.
• Paraphrasing tools - AI-powered rewriting services
• Automated content generation - Programmatic text creation

Plagiarism Detection

In addition to AI detection, we analyze text for potential plagiarism.

What We Check

• Exact matches - Text that appears verbatim in other sources
• Near matches - Text with minor modifications or paraphrasing
• Source attribution - Links to where matching content was found

Results Include

Interpreting Plagiarism Results

• High percentage - Significant overlap with existing sources; requires review
• Low percentage - Minor similarities; may be common phrases or properly attributed quotes
• Source links - Direct access to matching content for verification

Managing Findings

Reviewing Detections

For each flagged paragraph:

• View the probability score and classification
• See the specific text that was analyzed
• Access links to matching sources (for plagiarism)
• Compare with surrounding context

Dismissing False Positives

If a detection is incorrect or represents legitimate content:

1. Review the flagged text in context
2. Click to dismiss the finding
3. The finding is removed from active results

Common reasons for dismissal:

• Properly attributed quotations
• Standard methodology descriptions
• Common technical terminology
• Disclosed AI assistance

Restoring Dismissed Findings

Dismissed findings can be restored at any time:

• Access the dismissed items list
• Select items to restore
• Items return to active results

Best Practices

For Authors

1. Disclose any use of AI writing tools in your methods or acknowledgments
2. Ensure all AI-assisted content is reviewed and edited
3. Run detection on your own manuscript before submission
4. Be prepared to explain any flagged sections

For Reviewers

1. Check AI detection results alongside your review
2. Consider context - some AI assistance may be acceptable
3. Focus on high-probability detections
4. Request clarification from authors when needed

For Publishers

1. Establish clear policies on AI-generated content
2. Include AI detection in your screening workflow
3. Require disclosure of AI tool usage
4. Document findings in your records

Limitations

What Detection Cannot Do

• Prove intent - Detection indicates likelihood, not intent to deceive
• Identify specific tools - We detect AI patterns, not which specific tool was used
• Catch everything - Heavily edited AI content may evade detection
• Replace judgment - Results should inform, not replace, human review

False Positives

Some legitimate text may trigger detection:

• Highly technical or formulaic writing
• Standard phrases common in scientific writing
• Text that has been extensively edited
• Non-native English writing

Always review flagged content in context before drawing conclusions.

Related Resources

• AI Image Detection - Detect AI-generated figures
• Statistical Checks - Verify reported statistics
• Review Quality - Evaluate peer review quality