AI Detection on Social Media: Safeguarding Platforms from Fake Content and Security Threats


With many people using social media these days, it is a significant part of modern lifestyles. This is a space for connecting, sharing, and learning more about each other. With the onset of AI creating deepfakes, false content, and provided a sense of false reality there comes a moment when have to realize there’s a need for an AI Detector.

AI detection on social media can help safeguard these platforms from fake content and security threats. This software is created using the same programming language that artificial intelligence uses, but it’s going to reverse track by detecting AI content rather than creating it.

What is an AI detector?

An AI detector is a piece of software programmed by a developer who is using the API from a ChatGPT that OpenAI developed or similar API integration. This is how the developer is able to create an application to detect content, and images drafted by artificial intelligence.

The program is set to check a few parameters for the text or image to see if it fits the “if this, then yes” type of analysis that happens behind the scenes. This computer programming will test for burstiness, sentence length, word usage, and context to see if there is any possibility that the content was created using artificial intelligence.

This AI detection looks for things created by ChatGPT, Google Gemini, and other programs that creative folks are using to draft blog posts, articles, news information, and images for social media. This AI detection can be used to deter people from sharing false information online.

With the average person having access to AI, including AI detectors, we can start to fight back on which information we choose to consume or reshare. This allows us to know if something is a deepfake or poses any security threat to our privacy by sharing it.

There are billions of people on social media every day looking for the latest news, products, and special announcements. There are others who are looking on social media for the coolest images and funniest animals. They would be quite disappointed to find out that their favorite funny animal videos or news media articles are fake, but that’s just what AI detection can do. It will help more people understand what type of data they’re consuming and sharing with others.

When you know fi a piece of content is fake or not, you can easily make a choice to research AI content or not. While some people will be okay with this choice to resharing AI content, others want to keep their social media feeds free of such fakeness. We are merely sharing the information so that you know there are ways to test if something is AI or not.

There are multiple ways we can work together to use AI and AI detection to safeguard our networking from fake content and other security threats.

Detecting Cyberbullying

One step forward with AI use on social media is that Instagram and TikTok have employed AI to detect offensive language and are able to issue warnings to people automatically if they’re using such language or reposting said content.

Not only that, but you can go into your settings within most social media apps to improve the content that you’re consuming by having the AI programming filter out harmful posts by enabling the comment filtering option within most of your current social media applications.

AI Detection for Fake Accounts

AI detectors could expand into a future technology that helps reduce misinformation, spam, and scams. This also helps with duplicated accounts. Social media apps currently use AI systems to analyze account creation, and account activity to determine if a pattern of spam or scam type content is depicted within any profiles.

You may be able to see someone in the future release AI detection that actually helps ping you whenever someone tries to make a fake duplicate account of your profile. This is a useful option for influencers or digital creators who often find their profiles are cloned by scammers.

The mission of this type of AI usage is to help foster a more positive user experience on social media. We are already seeing Facebook use a Deep Entity Classification that uses machine learning to identify groups of fake accounts. This is done through linking similar behavior patterns such as mass friend requests or identical postings across multiple files.

There are other tools that you can use, that are AI machine learning tools, that help flag and analyze suspicious accounts. This helps you only engage with the profiles you prefer to engage with. Right now, we are starting to see a new tab option on X (formerly Twitter) where you can see Verified or non-verified accounts and replies from them. This helps you choose which type of accounts you want to see in your social media feed. AI helps you see what you want to see and support those whom you want to support.

AI Detection for Video and Content Analysis

AI detection can be used to evaluate videos and content on social media. This helps us determine whether or not a piece of content is fake, human created, or otherwise spam. This is where we can start harnessing the power of AI as an individual.

Each person has access to sign up for an AI detector plan, they can then copy and paste data into it to see if the report says the information is AI created. This allows you, the user, to determine whether or not to consume or share the content or image that is most likely to be created by artificial intelligence.

These detection models are still glitchy, so be sure to use your human instincts when evaluating something online. AI is just a tool; we still need some human oversight to ensure it’s working properly and showing us accurate results.

As you can see from our extensive article, there are plenty of ways in which AI is making our lives easier, and more ways in which AI detection can help social media become a safe space of people being more aware of fake content and potential security threats.

 


Kokou Adzo

Kokou Adzo is a seasoned professional with a strong background in growth strategies and editorial responsibilities. Kokou has been instrumental in driving companies' expansion and fortifying their market presence. His academic credentials underscore his expertise; having studied Communication at the Università degli Studi di Siena (Italy), he later honed his skills in growth hacking at the Growth Tribe Academy (Amsterdam).

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