Business Security: How to detect content generated by ChatGPT?

Business Security: How to detect content generated by ChatGPT?
Table of contents
  1. Check the sources
  2. Analyze the style and structure
  3. Analyze inconsistency
  4. Use specific detection tools

Business security has become a paramount issue in the ever-changing digital world. With the advent of artificial intelligence, content generation tools such as ChatGPT can be used for malicious purposes. It is therefore essential for companies to be able to detect the content generated by ChatGPT in order to prevent potential risks. This article explores the different methods and techniques available to identify and control ChatGPT generated content.

Check the sources

Checking sources and references is a crucial step in assessing the credibility and accuracy of content. When it comes to detecting content generated by ChatGPT, consult reliable and verifiable sources. To verify sources, look for similar information in reputable publications, academic articles, government websites, research reports, or scholarly books. It is best to avoid relying solely on personal blogs, online forums, or unverified sources. 
You can go to this site in order to find several resources on ChatGPT tools. The comparison and corroboration of information from several independent sources establish the validity of content. If the information matches up and is supported by credible sources, it is more likely to be accurate. Also, be aware of potential biases in sources and favor information from diverse perspectives. This allows for a more objective overview.

Analyze the style and structure

Style and structure analysis is useful for detecting content generated by ChatGPT or other language models. Language patterns often have distinctive characteristics that can be seen in their writing style. When analyzing style, look for signs of unusual phrasing, overuse of specific terms, or phrases that sound too perfect.
The language patterns produce sentences that are grammatically correct, but lack the spontaneity and variety typical of human conversation. Content structure can also provide clues. Language patterns follow a predictable pattern in how they organize ideas or answer questions. If you notice repeated patterns or generic responses that do not specifically address the questions asked, this may indicate template-generated content.

Analyze inconsistency

Inconsistency analysis is an effective way to detect ChatGPT-generated content. The latter sometimes produces answers which lack logical coherence or which are in contradiction with the information provided previously. When analyzing inconsistency, look for internal contradictions in responses. For example, if a response gives conflicting information, this is a sign of template-generated content.
In addition, language models lack understanding of context. They respond inappropriately or disconnectedly. If a response ignores the context of the conversation, it could also indicate template-generated content. But be aware that inconsistency alone does not guarantee that the content is generated by a language model. Sometimes humans can also give inconsistent answers.

Use specific detection tools

The detection of a text written by ChatGPT can be carried out using different specific tools. These tools are increasingly necessary given the rise of artificial intelligence and automated content generators. Among the recommended tools are Originality AI, Content at Scale and GLTR. Originality AI allows analyzing a text and provides a percentage indicating the degree of probability that the text was generated by ChatGPT. 
Content at Scale is another detector that highlights parts of text that may have been written by ChatGPT. GLTR, although not as accurate as the other tools, offers a graphical representation showing the predictability of text. Keep in mind that no tool can provide absolute certainty about the origin of a text. Rather, these tools serve as guides for conducting in-depth analysis and exercising informed judgment.

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