AI-Powered Quality Checks & Plagiarism Detection for Abstracts

AI-Powered Quality Checks & Plagiarism Detection

We are excited to announce a significant update to Dryfta’s abstract management system. This update revolutionizes the way abstract submissions are managed, making the process more streamlined, error-free, and robust than ever. Now, event organizers can enable AI-powered checks for Grammar, Plagiarism, and Overall Quality for abstract submissions. This functionality extends not only to the default title and summary fields but also to any custom textarea fields that you may have in your submission form.

AI for Enhanced Submission Quality

Dryfta now uses Artificial Intelligence to check and analyze the quality of abstract submissions. This feature can be activated to scrutinize the following:

  • Title of the Abstract
  • Summary of the Abstract
  • Custom Textarea Fields

The system can be set to check all, some, or none of these fields based on your specific needs.

Backend Settings

The new backend settings give you the flexibility to choose:

  • Whether to enable the AI checks only for default title and summary fields
  • Whether to extend these checks to custom textarea fields
  • A combination of both

Field-Specific Checks

Admins can now select specific textarea fields that they want the system to check for quality. This granular control helps in focusing the AI checks where they are most needed.

Enable Specific AI-Powered Checks

With the integration of Artificial Intelligence, you can now enable checks for Grammar, Plagiarism, and Overall Quality on abstract submissions. Lets delve deeper into these three key features to give you a better understanding of how they work and how they can benefit you.

Quality Check

The Quality Check feature is designed to evaluate the overall coherence, structure, and relevance of the submitted abstracts. It automatically reviews the submission based on predefined quality metrics such as:

  • Clarity: How clearly the abstract conveys its message.
  • Relevance: How pertinent the content is to the subject matter of the conference.
  • Structure: Whether the abstract is well-organized and follows a logical flow.

This feature is invaluable for ensuring that only high-quality submissions make it through the initial screening, thus simplifying the review process for the event organizers.


Grammar Check

Spelling mistakes and grammatical errors can detract from the professionalism and credibility of an academic paper or presentation. The Grammar Check feature on the Dryfta platform addresses this by:

  • Identifying spelling errors
  • Flagging grammatical mistakes
  • Suggesting appropriate corrections

This allows authors to refine their abstracts before submission, increasing the likelihood of acceptance and minimizing the time spent on revisions post-submission.


Plagiarism Detection

Maintaining the integrity and originality of content is paramount in any academic setting. Our Plagiarism Check feature:

  • Compares the submitted abstract against a vast database of academic papers, articles, and other publicly accessible text.
  • Provides a plagiarism score
  • Flags specific portions of text that are identical or similar to existing content

Event organizers can set a plagiarism threshold; if a submission exceeds this set level, it will be automatically rejected. This ensures that all accepted abstracts are original and credible.


Plagiarism Threshold

In the plagiarism check settings, you can now set a threshold level. If a submission exceeds this set level of plagiarism, it will not be allowed to proceed. This helps maintain the integrity and originality of the content in your event.

Duplicate Content Check

You have the option to let the system check for duplicate content:

  • Across the Internet
  • Only across the submissions within this specific conference
  • Or both

Duplicate Submission Warning

When an author attempts to submit an abstract that has already been submitted by them, the system will:

  • Detect it
  • Display a warning message
  • Prevent them from submitting the abstract
  • Display the matching abstract ID and title for their reference

How Does It Work?

When an author clicks on the "Submit" button, the system runs a comprehensive scan to check the title, summary, and name of the author and co-authors against the set criteria. If any issues are detected, the system provides real-time feedback to help the author make necessary corrections.

Step-by-Step Process

  1. Initiating the Checks: As soon as an author clicks the "Submit" button after filling out the abstract submission form, the Dryfta platform initiates a series of automated checks based on the settings configured by the event organizer.

  2. Scanning Fields: The system scans the abstract's title, summary, and the names of the author and co-authors. The fields that are checked depend on what the event organizer has selected (e.g., title, summary, custom textarea fields, etc.).

  3. Running Checks: Depending on what has been enabled (Quality Check, Grammar Check, Plagiarism Check), the system uses AI algorithms to evaluate the abstract on those parameters.

    • Quality Check: Assesses the clarity, relevance, and structure of the abstract.
    • Grammar Check: Looks for any spelling or grammatical errors.
    • Plagiarism Check: Compares the abstract with a database of existing content to identify any similarities.
  4. Real-Time Feedback: If the system detects issues in any of the enabled checks, it will immediately provide feedback to the author. This could be in the form of warnings, suggestions for improvement, or even preventing the submission if it fails to meet certain criteria like exceeding the plagiarism threshold.

  5. Author Correction: The author has the opportunity to correct these issues based on the feedback provided before attempting to resubmit the abstract.

This update offers an unprecedented level of control and customization for managing abstract submissions. It not only enhances the quality of submissions but also significantly reduces the workload for event organizers. We are thrilled to offer this feature-rich update and look forward to your feedback.

Frequently Asked Questions

1. What exactly do the new AI-powered checks analyze in abstract submissions?
The new AI-powered checks analyze the title, summary, and custom textarea fields of abstract submissions for overall quality, grammatical accuracy, and plagiarism.

2. Can I enable the AI checks for only specific parts of the abstract submission?
Yes, you can. In the backend settings, you have the option to enable these checks only for the default title and summary fields, extend them to custom textarea fields, or a combination of both.

3. How do I select which textarea fields should undergo quality checks?
In the backend settings, you can choose specific textarea fields that you want the system to check for quality. This allows you to focus the AI-powered checks where they are most needed.

4. Can I enable or disable specific checks like Grammar, Quality, or Plagiarism?
Absolutely. You have the freedom to enable or disable Quality Check, Grammar Check, and Plagiarism Check individually as per your requirements.

5. What is the plagiarism threshold, and how does it work?
The plagiarism threshold is a setting that allows you to specify the maximum level of similarity an abstract can have with existing content before it is rejected. If a submission exceeds this level, it will automatically be prevented from proceeding.

6. Does the system check for plagiarism only within the conference, or does it also check across the internet?
You have the option to set the system to check for duplicate content either across the internet, only within the submissions of your specific conference, or both.

7. What happens if an author tries to submit the same abstract multiple times?
The system is designed to detect duplicate submissions by the same author. If such an attempt is made, a warning message will be displayed, and the submission will be prevented. The system will also display the matching abstract ID and title for the author's reference.

8. What kind of feedback does the author receive if there are issues with the submission?
The system provides real-time feedback based on the enabled checks. This could range from warnings and suggestions for improvement to outright rejection of the submission if it fails to meet certain criteria like exceeding the plagiarism threshold.

9. Do I need to upgrade to the latest version of Dryfta to use these features?
Yes, you will need to upgrade to the latest version of the Dryfta platform to take advantage of these new features.

10. How reliable are these AI-powered checks?
While the AI algorithms are highly sophisticated and accurate, they are meant to assist and streamline the review process, not replace human judgment. It's always a good idea to perform additional reviews for the most accurate results.