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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.
No one can doubt the fact that artificial intelligence (AI) has opened up new frontiers in content creation. Using increasingly sophisticated algorithms, AI-powered tools are making it easier than ever for creators to generate high-quality content at scale, from text and images to audio and videos to even more. In fact, its ability to generate human-like writing and other types of materials has given rise to undetectable AI content, making it difficult to tell the difference between AI and human-generated work.
But while undetectable AI tools and content offer unprecedented opportunities to automate tasks and give voice (or art) to content creators everywhere, there's also growing concern about its impact on society. And rightfully so - try to pass off AI-generated outputs as human content can have some serious and far-reaching consequences.
In this article, we're going to explore the 13 societal costs of undetectable AI content.
Undetectable AI content often refers to AI-generated text that's so similar to human-written content that search engines, AI content detectors, and the average person have a hard time telling the difference. Gone are the days of producing strictly robotic-sounding content - today's undetectable tools can convincingly mimic human writing styles and sentence structures, But it's important to be aware that it's not just AI-written text that can come off as human-like - it's also images, videos, and other types of content.
With all of the skepticism surrounding the use of AI these days, taking steps to make content undetectable can be great for human writers who want to avoid any false accusations regarding the originality of their work. But unfortunately, this isn't the most common use of this technology.
In fact, there are people out there using undetectable AI tools and content for more unethical purposes.
Undetectable AI writing and other types of content can have significant and impactful implications for trust building, credibility and ethics in the age we live in. Here are a few of the costs that we must consider to society as a whole, and what they mean for us moving forward from the information age to the age of AI.
Deepfakes (a portmanteau of the words "deep learning" and "fake") are realistic, AI-generated videos that alter a person's expression or voice or even swap faces with others. They can make politicians look like they've said things they didn't say, or were in places where they had never been. These types of videos are already creating controversy for their ability to deceive and manipulate people.
Then there are AI-powered text generators like ChatGPT. They use advanced algorithms to create convincing-looking news articles, academic papers and blog posts that can mimic human writing styles and be attributed to real-world authors, regardless of their involvement.
Although both types of technology have uses in real-world applications (such as using deepfakes to make biographical films of a character's life throughout the ages, or using them to restore classic films or outdated-looking CGI), our inability to distinguish AI- from human-generated content at first glance can undermine trust and comes with numerous risks.
With the ability to generate undetectable deepfakes and synthetic texts, criminals can now use undetectable content to weaponize texts, videos and photos to commit identity theft and fraud. For example, a deepfake video could feature a CEO announcing a fake corporate merger. This could lead to stock market manipulations and the vast selling or buying of stock, which could in turn result in disaster for the markets.
Then there are AI-generated emails. They may seem harmless, but by changing AI-written content to more human-like text, scammers can make business emails look like they came from executives. This can result in employees willingly sharing passwords or other security credentials that can compromise the integrity of the business or organization.
While they sound similar, misinformation and disinformation are two separate - but still concerning - terms. Let's start with misinformation. Misinformation refers to false or misleading information that is shared without the intent to deceive. It's likely to spread from misunderstandings, a misinterpretation of data, or incorrect reporting.
Disinformation, on the other hand, involves the deliberate creation of content that's designed to manipulate others. It tends to be more organized than misinformation, and may involve the use of fake social media accounts, doctored images, or fake videos.
So, how does this apply to AI-generated writing and other types of content? Well, everything from deepfake videos to AI-generated articles can spread misinformation and disinformation, which can distort public perception on critical issues within a society.
Beyond the critical impacts of spreading misinformation and disinformation, making AI content undetectable can have an emotional and psychological impact on society as well. For example, deepfakes that manipulate personal videos can cause a great deal of distress and shatter reputations. Using AI-generated content creation, someone could doctor a video to make it seem like a CEO is admitting to criminal activity. This wouldn't just have a negative psychological impact on the individual, but also has the potential to destroy their reputation and that of their company.
Undetectable AI content can also have an impact on a smaller scale. Using AI to generate fake social media comments or reviews can have some serious effects on one's mental health, particularly among more vulnerable populations.
As AI continues to become more sophisticated and harder to detect, the public's trust in digital media as a whole is starting to erode. People are becoming more and more skeptical of the content they come across online, which can extend to institutions and the media, further dividing society into fractured groups.
As a whole, sooner or later society will need to deal with the implications that creating deceptive content poses to us. AI in and of itself is neutral, but creating content with transparency and accountability will be paramount as people challenge the ethical issues surrounding using AI in all of its forms.
One of the more sinister side effects of AI-generated content is its potential to amplify and irritate already inflamed social and political divisions. Today, algorithms can create content that appeals to specific political and social ideologies, further reinforcing beliefs and pushing individuals into their own familiar echo chambers.
Over time, a human author may show their biases through their writing, but AI has the ability to appear to seem impartial, which can lead to misinformation or a slant that is not entirely accurate. This further polarizes the public which makes it even harder for people to find common ground or engage in constructive debate.
It may not seem like it on the surface, but undetectable AI-generated content can also exacerbate existing economic disparities. Imagine a product launched in a country where undetectable AI writing tools are cheap and readily available. Now imagine its competitor that comes from an economically-disadvantaged area, and has to rely on strictly human-written text.
The difference here is that the online retailer in the former country can use AI to create human-like content in the form of positive reviews or compelling product descriptions faster than their competitor can write or collect them. This can give them a significant head start in a competitive market.
As you can see, unequal access to AI can create a snowball effect, widening the gap between different groups in terms of those who have and those who don't have access to such tools.
It sounds rather dystopian, but AI content can be used to exploit individuals in ways that society as a whole simply isn't prepared for. Imagine targeted advertising taken to an extreme with ads that aren't just tailored to your demographics, but are created on-the-fly. They can use AI to exploit your emotional state, detected through the posts you write and share on social media, or your interactions on other third party sites.
This practice, is known as “surveillance capitalism”. It involves corporations and governments alike potentially misusing AI's capabilities for ongoing data collection, refinement, and analysis to manipulate citizens into consuming more and more.
We've already seen the beginnings of what can happen when undetectable AI tools are used in academic, legal and journalistic settings. Fake research articles, court cases and data, and reports can pass initial scrutiny, even from experts in their field. In addition, deepfake “interviews” could be used to create a scandal or reveal misinformation that could potentially damage reputations and manipulate public opinion.
Because we hold the law, journalism, and academia in such high regard in terms of their status as bastions of credibility and the truth, AI has the potential to damage their credibility and authenticity. This can lead to a society that's not only divided and fragmented, but inherently skeptical of expertise, even when it comes from authoritative sources.
It's no secret what can happen when profits are put over people. In terms of AI technology, people are already losing their jobs in fields that were traditionally reliant on human creativity and skill. Journalists, writers, graphic designers, video editors and many more are seeing themselves go head-to-head with AI content generators that can produce similar work at a fraction of the time and cost.
Automation is by no means a new concern, but it often leads to economic shifts rather than outright job loss. AI turns this notion on its head, and the transition can be quite jarring and painful for many, causing increased income inequality.
Although not as dire and foreboding as creating scandalous deepfake videos and upsetting elections or other institutions, the widespread prevalence and use of AI-generated content can have implications for human creativity as well. Now that AI tools can easily generate art, music and writing, people will lean more into these technologies to give them exactly what they want at the expense of developing their own creative skills.
Over time, this overreliance on AI can create a sort of “creative atrophy”, where the next generation is even less capable of innovative thinking and outside the box problem solving – skills that are vital for society to progress.
Because AI language models are trained on large and diverse datasets, the content they generate can trend toward broad but shallow understandings of culture and ethics. This can create a type of cultural and ethical homogenization, where local traditions and minority perspectives get lost in the shuffle of content that is crafted to have mass appeal.
We may not realize it in our day to day lives, but undetectable AI-generated content has already created a whole host of legal quagmires and unforeseen challenges. For example, who is responsible when an AI generates defamatory content? Traditional legal frameworks were never meant to be applied in these complex cases, which in turn creates uncertainties and blatant miscarriages of justice.
So what can we do about these issues and how can we prevent society as a whole from falling into these traps? At this point, the rapid development of AI content generation tools are far outstripping our capacity to rein it in. Although today's AI content detection tools like Originality.AI can go quite far in distinguishing AI-generated text from original content, AI continues to evolve at an unheard-of pace. Governments have floated the idea of regulation, but trying to enforce laws around AI-generated content is complex and needs the cooperation of a wide range of local, national, and international groups.
When we consider the sheer potential for AI to lend a hand toward identity theft, fraud, misinformation, lack of trust and other serious societal challenges, it's easy to say that something, anything must be done to circumvent it. Although technical advances, public awareness and governmental involvement each has their own specific method of trying to tackle the issue, there's one thing we cannot do as a society, which is to simply sit back and see how things unfold.
With this in mind, it's vital that society as a whole take a proactive stance on combating and mitigating these risks by facing them head-on. By leveraging all of the tools and expertise we have at our disposal, including AI content detectors, legal, technological, educational, and even government solutions, we'll be able to tame the unwieldy beast that is AI and turn it into a tool used for positive gains and growth.
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!
We looked at all lawsuits occurring against OpenAI and listed them below. In addition to the relevant detail we had a lawyer provide some commentary. This list will remain updated as an easy-to-reference location for any lawsuits against OpenAI ordered by date (oldest to newest).
The rapid development of AI writing tools has led to many positive changes. Businesses with limited resources can produce more content, writers suffering from writer's block can find solutions, and those who struggle to get their thoughts down on paper can finally explain their thoughts.
