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AI Fact Checking

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How does AI fact-checking software work?

AI Fact-Checking Challenges

By employing (NLP) Natural Language Processing techniques, AI fact-checking solutions are able to perform; information retrieval, text classification, named entity recognition, semantic analysis, and sentiment analysis, as a way of analyzing textual data.

Now, it’s important to note that AI fact-checking solutions are not foolproof and may have limitations. After all, they rely on the availability and accuracy of reliable data sources and face the challenges of interpreting nuanced language or context, which may lead to biased or mistaken interpretation.

Fact-Checking and the Human Factor

AI Fact-Checkers employ various methods, such as semantic analysis, information retrieval, and sentiment analysis, to assess the veracity of claims.  Some solutions rely more heavily on automation, while others strike a balance between AI technology and human expertise to ensure accuracy.

Now, because of the possibilities of error, human fact-checkers play a crucial role in the process of verifying the results and provide context for complex claims.

Fact Checking Software Solutions?

You may have already guessed that of course; there are already a numbers of services available online that provide fact-checking solutions in the form of software apps through to complete platforms and service

Urban Folklore

Snopes for example has been around since 1994, well before the disruption caused by the launch of OpenAI’s ChatGPT. Snopes provides a free service, however, with a paid membership you will gain access to exclusive benefits which include a community badge, ad-free browsing, and the Snopes Digest, a twice-monthly newsletter. Now, besides the already popular Snopes, and as AI technology continues to evolve, there are a few noteworthy organizations jumping on the idea of providing AI powered fact-checking solutions and resource. The following are just some of the noteworthy business tools we felt compelled to include with this article:


Snopes is a well-known fact-checking website that utilizes AI technology in its fact-checking process. They employ machine learning algorithms to automate parts of the fact-checking workflow, such as identifying claims and gathering relevant information. However, the final determination is made by human fact-checkers who review the evidence and provide a verdict.

Full Fact AI

During our new search for AI Fact Checking Solutions, Full Fact AI was the first fact-checking solution we stumbled on. Full Fact is a UK-based organization that employs a combination of AI and human fact-checkers. They use AI tools to monitor and analyze large volumes of information, flagging potential claims for fact-checkers to review. The AI technology assists in automating the process of identifying claims and gathering relevant evidence, but human fact-checkers make the final determination.


FactInsect compares text content with selected quality media. You can search using text, or by entering a website URL. Factinsect is a fully automated, highly transparent, fact check that yields results within seconds. The artificial intelligence is developed and trained to recognize whether statements confirm each other, contradict each other, or whether there is simply no connection. Content creators, and other companies use Factinsect for fact checks, content comparisons, and brand safety. Factinsect is accessible via API and available as a freemium Chrome, Firefox and Edge Browser plugin.


Factmata is an AI company that focuses on combating misinformation and disinformation. Their platform employs machine learning algorithms to assess the credibility of news articles, online content, and social media posts. It uses a combination of linguistic analysis, contextual understanding, and user feedback to determine the trustworthiness and accuracy of the information.


ClaimBuster is an AI fact-checking tool that uses natural language processing (NLP) techniques to identify and analyze claims made by public speakers or in news articles. It focuses on identifying factual claims and determining their veracity. It uses machine learning algorithms to identify patterns in text and predict the likelihood of a claim being true or false.

Google Fact Checker Tools

Learn about the tools which will allow you to search for stories and images that have already been debunked and will allow you to add ClaimReview markup to your own fact checks. Download Lesson

Fact Check Conclusions

The final determination of truth or falsehood often requires human judgment and domain expertise. This however, does not diminish the benefits that can be enjoyed through using AI fact-checking solutions. Fact-checkers generally work by leveraging NLP techniques and machine learning algorithms to process and analyze large amounts of text data. Again, It is important to remember that AI fact-checking solutions are not infallible, and their effectiveness can vary. AI fact-checkers ultimately rely on the availability of accurate data models trained on reliable sources of information.


Fact-Checking FAQ

By employing (NLP) Natural Language Processing techniques, AI fact-checking solutions are able to perform; information retrieval, text classification, named entity recognition, semantic analysis, and sentiment analysis, as a way of analyzing textual data.

There are a number of different AI fact-checking solutions available, including browser plugins and popular websites such as snopes… (also, see google)

Mostly, but not always, this is why: AI fact checkers are reliant on the sources from which they draw data. However, with human intervention as part of the process, any errors are verifiable.

The accuracy of AI fact-checking solutions compared to human fact-checkers can vary depending on various factors. While AI technologies have shown promise in automating certain aspects of fact-checking, human fact-checkers still play a crucial role in the process.