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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.
It seems like we’re always talking about what AI can do for us. You know, help us boost productivity, answer questions, or brainstorm ideas when we’re stuck. However, how often do we stop and ask what it’s doing to us?
OpenAI and the MIT Media Lab set out to explore that question through a large-scale research collaboration, “Investigating Affective Use and Emotional Well-being on ChatGPT”.
The study focused on how interactions with ChatGPT affected users’ emotional well-being — what they found could change how we think about using and developing AI going forward.
This article breaks down the key insights of the study, including: how the researchers conducted the study, what they found, and why it matters.
To help them understand how people use ChatGPT and how it affects them, OpenAI and the MIT Media Lab carried out two parallel studies.
For their part of the study, the OpenAI team analyzed close to 40 million ChatGPT conversations to get an idea of how people emotionally engaged with their AI (to get insight into affective use patterns).
They had a particular interest in what they called power users, or those who ranked in the top 1000 voice users on any given day.
With user privacy in mind, OpenAI developed a set of automated classifiers called EmoClassifiers V1 to scan conversations for emotional and behavioral cues, like:
At the same time, they also surveyed over 4000 users to compare how people described their emotional experiences with what showed up in the conversation data. They were especially interested in the differences between power users and more typical ones.
Then, MIT Media Lab tested how different types of ChatGPT interactions might affect emotional health over time (to obtain “causal insights” into the impact of different features like model personality and usage type on users).
They ran a 28-day randomized controlled trial with 981 participants randomly assigned to one of nine experimental conditions that included some combination of:
As with the ChatGPT study, the MIT team also had a particular interest in whether changing up the voice affected participants’ emotions. For example, they designed the “engaging” voice to sound more expressive and human to see if it would elicit stronger reactions from participants.
The researchers assigned each participant in the personal or non-personal groups one prompt to use per day, while the open-ended group could use ChatGPT however they wanted.
Regardless of group, though, they expected all participants to use ChatGPT for at least five minutes daily.
To track the participants’ emotional and behavioral changes throughout the study, the researchers monitored psychosocial outcomes using the following scales:
Participants also completed daily check-ins and post-study surveys to reflect on their experiences.
Just like the OpenAI study, the MIT team also used classifiers for the analysis.
This combination of research methods yielded mixed results:
Let’s take a closer look.
Across both studies, most participants used ChatGPT in neutral, task-based ways, not for emotional conversations.
“Emotional engagement with ChatGPT is rare in real-world usage.” - OpenAI
However, the researchers did find that a small group, most notably among power or heavy users, showed signs of higher emotional attachment.
These participants showed attachment by:
Where there were signs of emotional engagement, power users tended to show higher rates.
When looking at usage, OpenAI found that power users of Advanced Voice Mode:
Essentially, the classifiers found that these power user conversations showed higher rates of validation-seeking and emotional openness with ChatGPT.
Yet, overall, the study notes that both the proportion of users likely to view ChatGPT as a friend was low among both groups (‘control’ and ‘power’), stating “these views remain a minority in both groups.”
So, even though most used ChatGPT as just another tool, some (even if a small group) did start to form more of a personal connection.
In the MIT Media Lab trial, researchers found that participants who used voice, often the “engaging” one, were typically more likely to receive emotional responses from ChatGPT compared to the neutral voice.
“Using a more engaging voice model, as opposed to a neutral voice model significantly increased the affective cues from the model, but the impact on user affective cues was less clear.” - OpenAI and MIT Study
In MIT’s blog summarizing the research, they further highlight that, “Importantly, using a more engaging voice did not lead to more negative outcomes for users over the course of the study compared to neutral voice or text conditions.”
So, the key takeaway is that although the findings indicated that ChatGPT was more likely to respond with an affective cue when participants were using the ‘engaging’ voice-based chat, overall, it did not negatively impact users.
Personal factors did have an impact. Participants who did show signs of emotional engagement with ChatGPT tended to have a few things in common:
“...users who spent more time using the model and users who self-reported greater loneliness and less socialization were more likely to use engage in affective use of the model.” - OpenAI and MIT Study
Another aspect to note is the increasing signs of attachment that the classifiers flagged (as documented by the first part of the study via ‘control’ and ‘power’ users).
For instance, users turning to ChatGPT for comfort, worrying about losing access, or relying on it for emotional support.
This was reflected in some of the survey responses, depicted in the chart above, with users essentially describing ChatGPT as comforting or supportive.
Ultimately, OpenAI and MIT Media Lab’s study revealed that most people do indeed use ChatGPT as a tool. However, it also found that for a small group, these AI conversations can become more personal.
As interactions with AI writing tools and chatbots like ChatGPT get more human-like, humans may start to feel that AI chatbots are more emotionally aware, even when we’re perfectly aware that they’re machines.
This can lead to all kinds of responses from users, with some feeling more supported, some more dependent, and even others who are uncomfortable with the whole situation in the first place (often referred to as AI anxiety).
The results of this study indicate that the way we use AI tools can shape how we handle emotions, ask for help, and relate to other people altogether.
That’s what makes this study worth paying attention to.
Not just because it shows us how people are using AI today, but because it hints at where that use might take us next.
Maintain transparency in the age of AI with the Originality.ai AI Checker and identify whether the text you’re reading is human-written or AI-generated.
Further Reading:
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!
