Social media and the internet generally have revolutionized the way we absorb information. News is distributed quickly online, making it the primary source of information for many. However, it has become difficult to differentiate between truth and fake news due to the massive amount of content we perceive online. Apart from that, deep fakes and malicious actors are on the rise, trying to sway public opinion and stir drama by spreading fake news. Debunking misinformation is costly and time-consuming, but artificial intelligence has rightly been in the spotlight for solving such a challenging problem. Here’s how AI has become the unsung hero of fighting against disinformation.
How AI Responds to Threats in Real Time
With so many sources trying to influence public opinion, deciding who to trust is hard. There needs to be a basic fact-checking process, allowing us to scan content and ensure whether the source can be trusted. The development of machine learning enabled us to automate this process. For instance, using an AI content detector like plagiarismcheck.org gives us an option to make sure that the content is original and wasn’t tampered with. Apart from that, more and more platforms are partnering with various tool developers to combat disinformation and develop automatic fake news detection systems. Here’s how AI content creators and machine learning tools can be helpful in fighting against data breaches and disinformation:
- Content analysis. AI tools are capable of detecting plagiarism, differentiating human-written content from generated, and performing basic fact-checking to ensure that the content can be trusted and used further as a reliable source of information.
- Threat detection. AI tools have become indispensable in cybersecurity due to developed algorithms that analyze data and identify various patterns that can detect vulnerabilities and threats. For instance, a company called Darktrace uses AI to analyze network activity, monitor traffic, identify the unusual activity as well as potential cyber attacks, and alert cybersecurity teams in real-time. Therefore, it prevents malicious actors from spreading disinformation on the internet. Such tools can also alert users that the content or website they are about to view has not passed fact-checking or was tampered with.
- Behavioral analysis. Detectors with artificial intelligence can monitor and analyze the users’ behavior to detect system logins from unusual locations or devices at unusual times. Automatic detection of such anomalies helps to alert cybersecurity teams on time and prevent potential attacks.
How AI Content Detectors Counteract the Spread of Fake News
These days, many AI content detectors are trained to differentiate between genuine news sites and fake news. Services like customwritings.com can be useful when you need to check the authenticity of the source in question. Yet, it’s not all that contact detectors with artificial intelligence are capable of. These are the ways in which you can implement the use of AI content detectors in practice.
- Source verification. AI tools are perfectly capable of detecting unoriginal, fake, or plagiarized content. AI fact-checking allows us to get to the root of the problem and identify fake news and manipulated information to trick others into believing something that is not true.
- Labeling AI-generated content. Even though we’ve benefited from the development of machine learning, some of the text and photo content produced by AI has nothing to do with the subject matter and creates a false impression. Therefore, allowing tools to label content as AI-generated gives you clarity and shows them that such sources cannot be trusted.
- Flagging and reporting harmful content. If AI tools find that content is misleading or harmful, marking it as such can be automated to alert others.
- Collaborating with social media giants. Implementing AI content detectors within social media platforms allows for the detection of misinformation to be faster and more effective. As a result, harmful content is removed quicker and does not impact as many innocent people.
- Investing in media literacy programs. A smart and informed public is the best defense against any kind of disinformation campaign. Investing in various media literacy programs that use AI to teach people how to assess information sources and detect fakes is the best implementation of machine learning progress.
Final Thoughts
With a growing concern about disinformation and malicious actors, AI content detectors have become a powerful tool in combating fake news and winning the fight against misinformation. Even though machine learning cannot eradicate the problem completely, it can certainly help to make this process automated and efficient. Content detectors with artificial intelligence have rightly become the unusual heroes of the fight against disinformation due to the ability of these tools to quickly fact-check information, verify sources, and detect potential cyberattacks.
