Keyword density helper – This tool comes with a built-in keyword density helper in some ways similar to the likes of SurferSEO or MarketMuse the difference being, ours is free! This feature shows the user the frequency of single or two word keywords in a document, meaning you can easily compare an article you have written against a competitor to see the major differences in keyword densities. This is especially useful for SEO’s who are looking to optimize their blog content for search engines and improve the blog’s visibility.
File compare – Text comparison between files is a breeze with our tool. Simply select the files you would like to compare, hit “Upload” and our tool will automatically insert the content into the text area, then simply hit “Compare” and let our tool show you where the differences in the text are. By uploading a file, you can still check the keyword density in your content.
Comparing text between URLs is effortless with our tool. Simply paste the URL you would like to get the content from (in our example we use a fantastic blog post by Sherice Jacob found here) hit “Submit URL” and our tool will automatically retrieve the contents of the page and paste it into the text area, then simply click “Compare” and let our tool highlight the difference between the URLs. This feature is especially useful for checking keyword density between pages!
You can also easily compare text by copying and pasting it into each field, as demonstrated below.
Ease of use
Our text compare tool is created with the user in mind, it is designed to be accessible to everyone. Our tool allows users to upload files or enter a URL to extract text, this along with the lightweight design ensures a seamless experience. The interface is simple and straightforward, making it easy for users to compare text and detect the diff.
Multiple text file format support
Our tool provides support for a variety of different text files and microsoft word formats including pdf file, .docx, .odt, .doc, and .txt, giving users the ability to compare text from different sources with ease. This makes it a great solution for students, bloggers, and publishers who are looking for file comparison in different formats.
Protects intellectual property
Our text comparison tool helps you protect your intellectual property and helps prevent plagiarism. This tool provides an accurate comparison of texts, making it easy to ensure that your work is original and not copied from other sources. Our tool is a valuable resource for anyone looking to maintain the originality of their content.
User Data Privacy
Our text compare tool is secure and protects user data privacy. No data is ever saved to the tool, the users’ text is only scanned and pasted into the tool’s text area. This makes certain that users can use our tool with confidence, knowing their data is safe and secure.
Compatibility
Our text comparison tool is designed to work seamlessly across all size devices, ensuring maximum compatibility no matter your screen size. Whether you are using a large desktop monitor, a small laptop, a tablet or a smartphone, this tool adjusts to your screen size. This means that users can compare texts and detect the diff anywhere without the need for specialized hardware or software. This level of accessibility makes it an ideal solution for students or bloggers who value the originality of their work and need to compare text online anywhere at any time.
In the world of online learning, LMS platforms like Blackboard have played a pivotal role in the educational experience. With a variety of tools for course management, student feedback and grading, Blackboard has become indispensable. But with the growing reliance on online resources and submissions, a significant challenge has arisen: maintaining academic integrity in a world of students using ChatGPT and other student focused AI writing tools.
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This is particularly true when it comes to detecting and preventing plagiarism, an issue made worse with the rise of ever more sophisticated Ai writing tools. Blackboard also includes a wide range of integrated systems, like SafeAssign, which can help detect plagiarism. However, it also comes with its own set of limitations, particularly when it comes to detecting AI-generated content.
Being able to understand how Blackboard detects plagiarism and AI-written content is vital for educators as they work to refine their teaching strategies in an increasingly digital world. This article is designed to help you better understand Blackboard’s capabilities, how it goes about detecting plagiarism and what can be done about AI-generated writing when using an LMS platform.
Blackboard is a Learning Management System or LMS. It provides an online platform for the delivery of educational content and resources. With Blackboard, educators can create, organize and distribute course material including lecture notes, readings and even multimedia content. The system also includes features that enable communication between instructors and students including announcements, discussion boards and one-on-one emails.
Within Blackboard, students can submit their assignments directly through Blackboard. Instructors can then grade those assignments online and submit feedback. Teachers can also create online tests and quizzes, each having different types of questions and grading options. Students are also able to view their grades and see instructor feedback online.
You may not realize it, but Blackboard itself uses AI to accomplish several tasks. For example, it uses AI algorithms to help automate grading certain types of assignments and provides instant feedback to students. With its adaptive learning option, it can change the content based on each individual student’s progress and performance. Through its backend data and analytics, instructors can better understand student engagement and learning patterns.
One of Blackboard’s biggest selling and usage points revolves around its ability to detect plagiarism and prevent cheating. To help prevent cheating, Blackboard offers several tools including:
Lockdown Browsers - To prevent students from going to other sites to look up answers while the test or quiz is in process.
Timed Assessments - To limit the amount of time students have to complete the test.
Randomization of Test Questions - To prevent students from swapping answers, test questions and answers can be randomized.
Integration with Test Proctoring Software - Blackboard also integrates with third-party test proctoring software to detect any unusual behavior that might indicate cheating.
First and foremost among Blackboard’s anti-plagiarism tools is SafeAssign. SafeAssign compares student submissions against a database of internet sources, previous submissions and individual students submissions as well as other academic papers to spot if there is any overlap.
In addition to SafeAssign, Blackboard also generates an originality report. This report indicates the percentage of the assignment’s text that may match other sources, helping instructors to root out any potential plagiarism. Depending on whether or not the instructor has enabled it, students may also be able to see originality reports of their own submissions. This can help them to understand how citations are properly done and help them avoid any unintentional plagiarism.
Beyond SafeAssign, Blackboard also tracks student performance across a variety of metrics. Sudden changes in performance (be they for better or worse) can indicate cheating. Blackboard also monitors the frequency and timing of logins. Multiple logins from different areas in a short amount of time, or from very different IP addresses could raise a red flag.
When it comes to exams, Blackboard’s assessment tools also analyze patterns in how questions are answered. For example, if a student answers a complex question correctly in a short amount of time and does so repeatedly, it might be a reason for concern. Other changes in how students interact with course materials, discussion forums or group work can also be flagged for further review.
If you are particularly concerned about Blackboard and cheating or plagiarism, it’s also worth noting that the LMS integrates with additional third party educational tools and software that goes beyond the program’s original capabilities to help detect unusual patterns beyond what Blackboard can do right out of the box.
SafeAssign, Blackboard’s primary anti-plagiarism tool, first compares student submissions against its own comprehensive database. This database consists of billions of internet pages, millions of academic essays and papers and the school or university’s own repository of previously-submitted student papers.
After scanning these databases and repositories for any matches, SafeAssign then generates an originality report that includes an Originality Score which tells the student and teacher what percentage of the paper’s text matches sources already in the database.
From there, the report also offers detailed information about each match it has found, including the specific sentence or phrase and where it was found among the database sources. Generally this report is available just a few minutes after the article is submitted, although it could take longer if it’s a longer paper or if there are several assignments in the queue to check.
Keep in mind that instructors must review the originality report to see the matching text in context. Not all of the text that SafeAssign highlights will be plagiarized. It might include correctly cited quotes, idioms and other common phrases which are clearly not examples of plagiarism.
From there, the instructor will need to make a judgment to determine if the matches are plagiarized or properly referenced. Depending on the settings selected, students may be able to see their originality report as well. This can help them learn from their mistakes and understand how to properly cite their work. Student writing tools like Duey.ai provide citation and AI tutor assistance.
Also, depending on how the instructor has set it up, sometimes students can submit their drafts to SafeAssign before they make their final submission. This can help the students identify any improper citations or potential plagiarism before turning their work in for a final grade. On submission of the final version of their paper, students can opt to allow it to become a part of SafeAssign’s database.
So far, we’ve talked a lot about how Blackboard is designed to help detect plagiarism and cheating, but what about AI written content? As AI-generated writing becomes more sophisticated, the limitations of existing LMS platforms like Blackboard become even more glaring. Here are a few of the many limitations and challenges Blackboard faces when dealing with AI content:
SafeAssign and other plagiarism detection tools rely primarily on text-matching algorithms in order to uncover plagiarism. Submitted texts are compared against databases of existing content and when one string matches another, it’s highlighted. If a student paraphrases the content or idea in their own words, it becomes harder to detect a match.
Artificial intelligence can generate content that doesn’t plagiarize existing texts, so it would come up with an excellent originality score in the report. This presents a challenge for educators since the text that’s submitted doesn’t seem to be copied or resemble anything from other sources.
Some AI models are so sophisticated that they can mimic a student’s writing style, making it hard for plagiarism detectors and instructors alike to determine what was actually written by the student and what was generated by a machine. Considering how quickly AI developments are being published, today’s plagiarism detection tools need to keep pace with new methods of content creation. This in itself is a highly resource-intensive process to the point where many LMS platforms struggle to keep up.
SafeAssign and other plagiarism detection tools only analyze the surface level of the text (as in “are these words the same words arranged in the same way on the student’s paper versus this academic source?”) These tools don’t understand the context or meaning behind the text and for this reason, struggle to identify AI-written content.
SafeAssign and other plagiarism tools are highly dependent upon how large and comprehensive their databases are. Although millions of academic essays and billions of web pages sounds like a lot, if AI generated content doesn’t match any of them, SafeAssign likely won’t flag it.
If you’re a student looking to avoid plagiarism on Blackboard, follow these tried-and-true strategies:
Learn what plagiarism actually is – it’s not just copying text but also using ideas, concepts and even images without proper attribution.
Learn how to cite appropriately - Follow the style set forth by your instructor, whether it’s MLA, APA, Chicago or another type.
Cite everything - When you’re not sure, cite it anyway: books, journals, websites, videos and anything else you talk about in your paper.
Put it in your own words - Understand the material well enough to be able to explain it in your own words. Just swapping out a word here and there isn’t enough. Don’t forget that even if you express an idea or concept in your own words that was originally someone else’s, that you cite it appropriately!
Mix it up - Your assignment should be a combination of your own thoughts and analysis, backed up by reputable quotes and cited sources.
Keep track of your sources - Use a tool like Zotero to keep track of your sources so that you’re not scrambling at the last minute to remember them all.
And last but not least, if you’re not sure how to cite something, ask your instructor or a librarian. Get familiarized with SafeAssign and Blackboard as a whole to avoid any unintentional plagiarism.
If you’re concerned about AI generated writing, it’s a good idea to use a tool that was designed specifically for that purpose. Originality.ai was designed to detect AI-generated writing from ChatGPT, Bard and other AI writing programs and platforms. Learn about AI content detector accuracy and how it's analyzed.
Although Originality.ai is designed for content writers and marketers, it’s also an excellent resource for institutions and educators who are looking to prevent plagiarism and AI writing from harming academic credibility and student learning outcomes. You can choose to scan for AI detection, plagiarism or both simultaneously on a case by case basis. Originality.ai accepts document links (like Google Docs), Microsoft Word files, OpenOffice and web page links, allowing you to check for Ai and plagiarism detection across multiple formats.
In addition to checking for AI writing using Originality.ai, you can also take advantage of other tools built into the platform, such as our detailed readability checker and our fact checking tool. Originality.ai also generates reports highlighting potential plagiarism and which passages and sentences (if any) are believed to be AI-generated, with high probabilities.
Originality.ai is the only plagiarism checker that can accurately detect paraphrase plagiarism. Unlike traditional plagiarism detectors and clunky AI detectors, Originality.ai also lets you check for AI writing across multiple languages including English, Spanish, French, and many more.
Go beyond what’s possible with Blackboard and SafeAssign and try one of the most reliable plagiarism detection and AI writing detection platforms available online today!
Then, get even more insight into plagiarism and AI detection. Read our Grammarly and Copyscape plagiarism checker reviews. Plus, check out our AI detection accuracy guide!
No, that’s one of the benefits, only fill out the areas which you think will be relevant to the prompts you require.
When making the tool we had to make each prompt as general as possible to be able to include every kind of input. Not to worry though ChatGPT is smart and will still understand the prompt.
Originality.ai did a fantastic job on all three prompts, precisely detecting them as AI-written. Additionally, after I checked with actual human-written textual content, it did determine it as 100% human-generated, which is important.
Vahan Petrosyan
searchenginejournal.com
I use this tool most frequently to check for AI content personally. My most frequent use-case is checking content submitted by freelance writers we work with for AI and plagiarism.
Tom Demers
searchengineland.com
After extensive research and testing, we determined Originality.ai to be the most accurate technology.
Rock Content Team
rockcontent.com
Jon Gillham, Founder of Originality.ai came up with a tool to detect whether the content is written by humans or AI tools. It’s built on such technology that can specifically detect content by ChatGPT-3 — by giving you a spam score of 0-100, with an accuracy of 94%.
Felix Rose-Collins
ranktracker.com
ChatGPT lacks empathy and originality. It’s also recognized as AI-generated content most of the time by plagiarism and AI detectors like Originality.ai
Ashley Stahl
forbes.com
Originality.ai Do give them a shot!
Sri Krishna
venturebeat.com
For web publishers, Originality.ai will enable you to scan your content seamlessly, see who has checked it previously, and detect if an AI-powered tool was implored.
Industry Trends
analyticsinsight.net
Tools for conducting a plagiarism check between two documents online are important as it helps to ensure the originality and authenticity of written work. Plagiarism undermines the value of professional and educational institutions, as well as the integrity of the authors who write articles. By checking for plagiarism, you can ensure the work that you produce is original or properly attributed to the original author. This helps prevent the distribution of copied and misrepresented information.
Text comparison is the process of taking two or more pieces of text and comparing them to see if there are any similarities, differences and/or plagiarism. The objective of a text comparison is to see if one of the texts has been copied or paraphrased from another text. This text compare tool for plagiarism check between two documents has been built to help you streamline that process by finding the discrepancies with ease.
Text comparison tools work by analyzing and comparing the contents of two or more text documents to find similarities and differences between them. This is typically done by breaking the texts down into smaller units such as sentences or phrases, and then calculating a similarity score based on the number of identical or nearly identical units. The comparison may be based on the exact wording of the text, or it may take into account synonyms and other variations in language. The results of the comparison are usually presented in the form of a report or visual representation, highlighting the similarities and differences between the texts.
String comparison is a fundamental operation in text comparison tools that involves comparing two sequences of characters to determine if they are identical or not. This comparison can be done at the character level or at a higher level, such as the word or sentence level.
The most basic form of string comparison is the equality test, where the two strings are compared character by character and a Boolean result indicating whether they are equal or not is returned. More sophisticated string comparison algorithms use heuristics and statistical models to determine the similarity between two strings, even if they are not exactly the same. These algorithms often use techniques such as edit distance, which measures the minimum number of operations (such as insertions, deletions, and substitutions) required to transform one string into another.
Another common technique for string comparison is n-gram analysis, where the strings are divided into overlapping sequences of characters (n-grams) and the frequency of each n-gram is compared between the two strings. This allows for a more nuanced comparison that takes into account partial similarities, rather than just exact matches.
String comparison is a crucial component of text comparison tools, as it forms the basis for determining the similarities and differences between texts. The results of the string comparison can then be used to generate a report or visual representation of the similarities and differences between the texts.
Syntax highlighting is a feature of text editors and integrated development environments (IDEs) that helps to visually distinguish different elements of a code or markup language. It does this by coloring different elements of the code, such as keywords, variables, functions, and operators, based on a predefined set of rules.
The purpose of syntax highlighting is to make the code easier to read and understand, by drawing attention to the different elements and their structure. For example, keywords may be colored in a different hue to emphasize their importance, while comments or strings may be colored differently to distinguish them from the code itself. This helps to make the code more readable, reducing the cognitive load of the reader and making it easier to identify potential syntax errors.
With our tool it’s easy, just enter or upload some text, click on the button “Compare text” and the tool will automatically display the diff between the two texts.
Using text comparison tools is much easier, more efficient, and more reliable than proofreading a piece of text by hand. Eliminate the risk of human error by using a tool to detect and display the text difference within seconds.
We have support for the file extensions .pdf, .docx, .odt, .doc and .txt. You can also enter your text or copy and paste text to compare.
There is never any data saved by the tool, when you hit “Upload” we are just scanning the text and pasting it into our text area so with our text compare tool, no data ever enters our servers.
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This table below shows a heat map of features on other sites compared to ours as you can see we almost have greens across the board!
