The Similarity Scanner is a powerful tool that automatically checks project submissions for potential plagiarism and content similarity. This article explains how to use this feature effectively to maintain academic integrity in your showcase while saving valuable administrative time.

What is the Similarity Scanner?

The Similarity Scanner is an automated system that examines both text and images in project submissions, comparing them against:

• A global database of web content
• Common reference materials and sources

Each submission receives a similarity score and a detailed report highlighting any content that matches existing sources, helping you quickly identify potential issues.

Accessing the Similarity Scanner

The Similarity Scanner is included with all paid ProjectBoard plans and works automatically in the background.

1. Log into your ProjectBoard account
2. Navigate to the Showcase Builder for your event
3. Click on Similarity Scans in the left navigation menu

You'll see a list of all submitted projects with their scan status. Clicking on a scan result will open a detailed report for that individual project.

Understanding Scan Results

When viewing your list of submissions in the Similarity Scans tab, you'll see one of these status indicators for each project:

• Pass: The project shows low similarity to existing content
• Needs Review: The project has moderate to high similarity that warrants closer examination
• Pending: The scan is still in progress

Reviewing Detailed Reports

To view a detailed similarity report:

1. Click on the similarity scan result in the Similarity Scans list
2. The report will open, showing:
   • Overall similarity score (as a percentage)
   • Highlighted sections of text with potential matches
   • Images that may match existing content
   • Source links for potential matches

Interpreting Text Similarity

Text similarity is displayed as highlighted sections with a percentage match indicator. The higher the percentage, the more closely the text matches existing sources.

Consider these factors when reviewing text similarity:

• Common terminology in a field may trigger low-level matches
• Direct quotes should be properly cited
• Methodology descriptions may have legitimate similarity
• High similarity in multiple sections or unique content is cause for concern

Interpreting Image Similarity

Image similarity identifies visual content that matches existing images. The scanner can detect:

• Directly copied images
• Screenshots from websites or publications
• Common diagrams and illustrations

Making Informed Decisions

After reviewing a similarity report, you'll need to make a judgment call:

When to Approve

• Low similarity percentages in non-critical areas
• Properly cited quotes or references
• Common terminology or standard descriptions
• Images created by the participant or properly attributed

When to Request Revisions

• Moderate similarity that could be addressed with proper citation
• Unclear attribution of sources
• Excessive reliance on external content without synthesis

When to Decline

• High similarity scores across substantial portions of the project
• Direct copying of unique content without attribution
• Pattern of multiple issues throughout the submission
• Misrepresentation of others' work as original

Best Practices for Using the Similarity Scanner

Proactive Measures

• Inform participants about the Similarity Scanner before submissions open
• Provide guidelines on proper citation and originality expectations
• Include resources on academic integrity in your showcase instructions

During Review

• Set aside dedicated time to review flagged submissions
• Look for patterns rather than isolated matches
• Consider the context and nature of the project
• Use the scanner as a tool to guide your judgment, not replace it

Follow-Up Actions

• Provide specific feedback to participants whose projects need revision
• Use similarity issues as teaching opportunities
• Document your decision-making process for consistency

Teaching Moments

The Similarity Scanner creates opportunities to help students develop crucial research skills:

1. Proper Attribution: Guide students on how to correctly cite sources
2. Research Ethics: Reinforce the importance of academic integrity
3. Original Thinking: Encourage students to build upon others' work while adding their own insights
4. Digital Literacy: Help students understand how to evaluate and incorporate online resources

Frequently Asked Questions

Does the scanner run automatically?

Yes, all project submissions are automatically scanned as soon as they're submitted.

How long does a scan take?

Most scans complete within minutes, though complex projects with many images may take longer.

Can participants see their similarity scores?

No, similarity reports are only visible to showcase administrators.

What if a scan is incorrect?

The scanner is a tool to assist your review, not make final decisions. Use your judgment if you believe a match is incorrectly flagged.

Do all matches indicate plagiarism?

No, not all similarity indicates intentional plagiarism. Common terminology, standard methodologies, and properly cited content may all trigger matches.

Will the scanner catch all potential issues?

While the scanner is powerful, it works best as part of a comprehensive review process. Some forms of academic misconduct may still require human evaluation.

Note: The Similarity Scanner is available on all paid ProjectBoard plans. If you have questions about using this feature or need assistance interpreting results, please contact our support team at support@projectboard.