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In the constantly evolving realm of AI generated content the veracity of information is of utmost importance. With a couple of fact checking solutions available, discerning their efficacy becomes crucial. Originality.ai, revered for its transparency and accuracy in AI content detection had recently ventured into the domain of fact checking but how does our solution stack up against well established giants like ChatGPT or emerging contenders like Llama-2? This study aims to answer this question.
Are you concerned about determining who created a Google Document human or AI? Did someone just copy and paste ChatGPT output into a Google Document and pass it off as their own work? With Originality.AI’s ChatGPT detector Chrome Extension, you can now: Watch a writer create a Google document (no new software needed) See the
We believe that it is crucial for AI content detectors reported accuracy to be open, transparent, and accountable. The reality is, each person seeking AI-detection services deserves to know which detector is the most accurate for their specific use case.
Our free invisible text tool lets you copy any number of special blank space “unicode” characters. Whether it be for a specific username or messaging app, we have identified the empty character that has the best chance of working for you.
For those of you busying yourselves creating a business presentation, you might find using Google Slides the best method. Created by Google, this preferred presentation tool provides its users with a vast collection of excellent features to make sure presentations are engaging. In fact, this is the most popular presentation tool available.
It is a well known and almost universally accepted fact that Google will reward your content for something called “Readability”. As a result there have been many off the shelf content marketing tools ( think Grammarly, Hemingway readable.com etc) that have attempted to help people publish content with optimal Readability scores. The thought is that if content is published according to recommendations of these tools, they will be more likely to rank on Google Search Engines.
We analyzed 100 articles for their sentiment, or how positive or negative they were, and then had them rewritten by three Large Language Models (LLMs): OpenAI’s ChatGPT, Anthropic’s Claude2, and Meta AI’s Llama2. The new texts’ sentiment scores were then analyzed for any changes.
AI is transforming how businesses operate and individuals live. As AI capabilities grow, so does the number of AI tools available to leverage these capabilities. As with most other industries which have plenty of options to choose from, AI directory sites have emerged as helpful resources for discovering and evaluating various tools and solutions.
Grover’s AI-Detection tool is an advanced platform designed to identify and prevent the spread of “fake neural news” – a type of disinformation created using artificial intelligence. It utilizes a combination of both generation and detection tactics to analyze the language and structure of articles to detect bias, false information, or other warning signs. Grover
In an extension of the peer-reviewed study, “The accuracy-bias trade-offs in AI text detection tools and their impact on fairness in scholarly publication,” Originality.ai demonstrated exceptional results.
According to the 2024 study, “Students are using large language models and AI detectors can often detect their use,” Originality.ai is highly effective at identifying AI-generated and AI-modified text.
AI-generated text in scientific literature is becoming increasingly common — according to research by the American Society of Clinical Oncology, Originality.ai excels at detecting AI-generated content in scientific abstracts.
The Coleman-Liau Index is unlike most other reading formulas. It doesn’t subscribe to formulas that contain syllables. What it does do is take into account how long words are. Even though it does differ from the other reading indexes, the Coleman-Liau Readability Index is still one that is commonly used today.
That proved difficult for lots of users who sent Tweet after Tweet to get their point across. Twitter responded to this by increasing the character limit so nowadays, a Tweet is more like a short, social media post – with a Tweet character limit of 280 characters.
When writing an essay, school application, document, article, blog or other assignment (even cover letters), you may want to keep an eye on your word count. Even short form content such as social media platforms' requirements (Twitter for example) need careful attention paid to word count! There are a few ways to do this but today, we'll concentrate on using word count for Google Docs, which has a few customization options.
Guarding Against Misinformation: The Impact of AI-Generated 'Facts.' Learn how to discern accurate information in the age of generative AI. Explore the potential pitfalls when AI delivers 'facts' that may be more artificial than intelligent in your everyday work.
Word (Microsoft Office) is one of the most widely-used document creators on a PC or laptop. Used for so many purposes, especially creating articles and other content. Sometimes, you need to understand your current word count and character count when creating an article or essay.
Perhaps you’re writing a college essay or maybe you’re a blogger writing a piece using your Mac? It could be that you’re a business professional – or a student at school tasked with writing your dissertation or thesis? The brief needs you to keep a keen eye on the word count for your pages and maybe you’re unsure how to do it using your Mac pages software program? Where's the count display on your Mac?
Everybody wants documents that people are going to find easy to read. You want the potential readers of the documents to understand them by the way they send information back to you. To do this, plain language is needed. You have probably heard about school grade levels and readability levels from articles on common readability formulas such as the FORCAST Readability Formula. You probably know all about readability metrics online. They help you get your text down to a particular grade level.
Back in the day, in 1958, three guys created a powerful readability measure, the Power-Sumner-Kearl Readability Formula. They were R.D. Powers, B.E. Kearl, and W.A. Summer. This formula was published in a journal called A Recalculation of Four Adult Readability Formulas at the University of Wisconsin. Their readability formula, designed to improve reading by assessing readability level, was created mostly for the primary grades up to the 3rd-grade level. Their formula takes into consideration how many words are present, how many sentences there are, as well as the number of syllables.
The Gunning Fog Index measures readability. And what is good readability? It’s when you write something and the person reading clearly understands what you are communicating. It can be challenging to ensure that what you write makes sense to average readers. It's not always easy to hold your intended audience's attention so that they want to go on reading, which is where the Gunning Fog Index comes in.
Unlock the potential of AI-powered image detection! Explore its applications in biology, medicine, and environmental sciences. Learn how it accelerates research, aids early disease diagnosis, and enhances safety in autonomous vehicles. Discover the transformative impact of AI image recognition beyond academia.
Have you seen a thought leadership LinkedIn post and wondered if it was AI-generated or human-written? In this study, we looked at the impact of ChatGPT and generative AI tools on the volume of AI content that is being published on LinkedIn. These are our findings.
We analyzed almost 2,000 Amazon product reviews to answer that age-old question: ‘Did an AI write that 5-star review? ’Specifically, we investigated the growing trend of AI-generated content in these reviews, its relationship with known quantities, and its ultimate influence on shopping decisions.
The Dale-Chall Readability Formula is useful in figuring out readability. It has been used in schools to determine the right type of text to be used, particularly for kids at 4th and 5th-grade levels. The Dale-Chall Readability Formula can measure vocabulary knowledge, language skills, and comprehension knowledge. A top feature of the Dale-Chall Readability Formula is that it helps highlight all the unnecessary words in a text that make it more difficult for kids to read.
If you want a method of discovering how hard a piece of writing is to read, you will find the Spache Readability Formula does that. The Spache will compare words that are in the text to words on a specific list that are familiar to the reader. If the word is not found on the list, it is classified as an unfamiliar word.
One of the readability tests that was developed early in the 20th century is the Automated Readability Index or ARI. There was a desire in many US industries for improved readability. So in 1967, the ARI was developed, particularly for military use. The purpose of the ARI was to monitor readability on electric typewriters. Remember, this was before the digital age. The ARI became a welcome way to measure readability. Nobody wanted to do the readability score calculations manually so this was a great relief! The ARI involved a special tabulator called the Readability Index Tabulator. This was attached to the typewriters of the day for the testing and real-time monitoring of readability accuracy. It was Mr. Robert Roettele who designed the Automated Readability Index tabulator.
Readability is all about how you deal with reading. Do you find it easy to read through papers or articles? Or do you find it difficult with long sentences and words with unknown meanings? Readability involves what you see as you read, like the font size, the text presentation, the colors used, etc.
Originality.ai ranked among top-tier AI detectors according to the research in "The Effectiveness of Software Designed to Detect AI-Generated Writing."
The transcripts of over 4000 USA TV show episodes which aired from 2020 to 2023 were analyzed for this study. The shows included daytime shows, primetime TV pilots and a popular late night comedy skit show. Findings were consistent: Hollywood scripts are not being produced by AI text-generators or other LLM(large language model)-based tools.
The Lix Reading Formula has become extremely useful for application in several non-English languages, being used for both English and non-English texts. You might have heard of the Rix Reading Formula before. The Lix is much the same as the Rix and assesses reading skills and readability of texts.
Ever heard of the Raygor Readability Graph? It’s an English readability assessment. It helps readers understand and read English language text and assess average grade levels for text readability. It was created by a man called Alton L. Raygor in 1977. In the U.S., assessment of grade levels is calculated by a general number of sentences and letters. These are found in a text of 100 words. The results get plotted onto a graph. On the graph, the results achieved from the average number of sentences and words counted will reveal the average reading level of the text.
