Surviving in the Flood of Information with AI Content Detection

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Date: October 4, 2023

Ever since the start of 2023, we have seen everyone talking about generative AI. Well, these talks weren’t useless, as generative AI has taken over the world by storm, and we have been struck with a flood of information. The easy accessibility to the internet has already paved the way to a massive amount of data. Generative AI has become a threat because its information flood is on its way to drown us. Undoubtedly, generative AI is making various things easier, but talking about its downsides is also crucial.

If saving time is the primary goal, nothing can beat generative AI, as it provides you with responses in just a few seconds. However, if you want to ensure the content is reliable, accurate, and trustworthy, then relying solely on generative AI is a big mistake. 

What is Generative AI?

Generative artificial intelligence, more commonly known as generative AI, is a term that describes the creation of content, including text, pictures, videos, and audio, with the use of AI. ChatGPT, Deepfake, Jukebox, and other content creation utilities you see around yourself are the models of generative AI. These models are trained to dive deep into the patterns and structures of example data and then curate new content that is comprised of similar characteristics.

How Generative AI is Flooding Information?

As mentioned earlier, generative AI models are trained on data examples to make them capable of creating new content with similar elements. Their efficiency allows people to generate content in seconds and minutes that human creators can produce in hours or days. That’s why people are using generative AI to flood the web with an extensive amount of information without caring about whether the information is correct, incorrect, or vague. 

However, this information overload is making things tough for the researchers, as they are unable to authenticate whether they should rely on a specific piece of information. 

Many scholars, teachers, journalists, and content creators are worried about their position in their respective domains. It’s becoming difficult for them to analyze any piece of content and identify its reliability. In short, the flood of information brought by generative AI is more dangerous than plagiarism. To overcome the nuisance of plagiarism, people can utilize the power of a plagiarism checker that helps them detect instances of duplication. However, AI detection is not that simple, but fret not! You’ll get to know how you can detect it further in this article!

Downsides of AI on Content Creation

Before we discuss the formula to survive content overload, you should know the downsides of generative AI on content creation. Here are some reasons that can help you understand it:

Obsolete Example Data

One of the major drawbacks of using AI-generated content is its obsoleteness. For instance, if we talk about ChatGPT, it is trained on the data available up to September 2021. 2023 is about to end, and a lot of things have changed in the past two years. Hence, using the facts and figures provided by generative AI models won’t be a wise decision. If you are preparing a report or conducting marketing research, then you need to get your hands on the current date data. Otherwise, you may end up making bad decisions, and the content you are generating won’t contain any worth.

Lack of Creativity

Although you can ask AI to ensure creativity while generating content, it will still not be able to deliver content that entices your readers. AI-generated content lacks creativity, and it may not be able to match the creative sides of humans. The content creators are aware of human emotions; hence, they can use expressions and phrases that directly link with their target audience. However, generative AI cannot come up with creative content that catches the interest of readers.

Mismatched Search Intent

As generative AI models like ChatGPT and Bard are still in their beta mode, you may need to wait for a bit longer to access their refined versions. The AI-based models are unable to fully match the search intent of the users. It’s going to take time for them to fully understand what type of content a user is asking to generate. 

For instance, if we talk about textual content, you may need to generate different types of content, such as newsletters, blog posts, product descriptions, landing page copies, etc. However, the response of generative AI is somewhat similar for all types of content, which may never be able to match your search intent.

How Can We Survive with Content Overload?

Surviving with content overload is all about its detection. You can take multiple measures if you don’t wish to become the prey of content generated through AI. At first, try exploring multiple posts on a blog or website. If you are able to detect similar patterns, choice of words, and layout being employed in all of them, then there is a high chance that it is a work of generative AI. Another thing you can watch out for is redundancy and monotonous tone in content, as AI-based models often deliver content with a lot of repetitions and redundant content. 

However, the problem is that you cannot accuse somebody of using AI on your personal assumptions. That’s where the AI content detector can help you out. This utility has been introduced to help people in different domains confront AI with AI. In addition, it’s also quite efficient in generating responses, as you can find if the content is written by humans or generated through AI in a matter of seconds.

Bottom Line

Conclusively, in the age of information flood, AI-powered content detection is here to help you survive. Generative AI may need to be smart enough to bypass the sharp detection of AI content detectors. This tool is designed to help you know the truth about the origination of content. So, if you want to steer clear of AI-generated content, then it’s important to shake hands with an AI-powered content detector and check for AI content, just like you check for plagiarism!