The Future of AI Search Engines in Combatting Misinformation

Previously, only librarians used keywords to search for the required literature in several available sections and aisles. Today, everyone uses keywords to search for the required information online. However, the search becomes blurred as not all links match the request. This is where generative AI in search can be very useful.

A modern and upgraded AI search engine helps not only to find information. One also gets rid of misinformation and useless links. What is the difference between traditional and AI-based search engines? How do AI-based tools recognize fakes?

The Difference Between Traditional Search Engines and AI-Based Ones

Traditionally, people start searching for something using typical words. However, the multilayer system doesn’t always work the best way. People usually get too many links. Many of them contain unrelated information. So, one spends many hours trying to find worthy information.

In 2015, AI-powered search tools made research more precise for the first time. Now, search engines lead a user to the really needed sources. It benefits from all searches a person has ever done. It connects them to provide the best user experience.

For example, if a person looks for a restaurant, an AI-based search machine will use the following data:

• the history of previous searches
• a user’s geographical location
• the available information about the place from the database

Due to that, the search process stops being vague. The found information becomes more precise.

In other words, artificial intelligence “learns” a person. It makes searches more personalized. Besides, it can respond to information by analyzing images, pictures, maps, and voice commands. Such searches make things approachable and inclusive.

How Do People Create Deep Fakes?

A deep fake is the fake news people accept as the truth. It sounds and looks convincing. Its creators use AI tools to photoshop or make fake videos look credible. They take a speech of a person and put other words into his or her mouth. By using Photoshop, people alter reality. Some are so talented that their deep fakes are hard to recognize and discredit.

Today, people suffer from information wars. Instead of torturing people, politicians use deep fakes that make them change their opinion in the favor of politicians. That’s why it’s necessary to identify such news and debunk the myths. What’s the best tool against that?

Other AI-based tools. Fighting fire with the fire is the best method.

What Is the Danger of Spreading False Data?

Daily, people surf the Internet. According to DataReportal, an average person spends over 143 minutes a day on social media. They watch videos and read posts of influencers. Social media users send more than 98K tweets and 168 mln emails every minute. As one can guess, not all news is real and safe. Most made-up stories contain harmful and misleading information.

The most vulnerable audience is children. They cannot differentiate between the truth and lies. Sometimes, they even follow “dangerous” recommendations and get hurt. That’s why such social media platforms as Facebook started using AI detectors to recognize fakes. It hides some news and vulnerable content to secure its users.

What Is the Purpose of AI-Based Search Tools?

Elections would be unfair and useless if people could not trust the news. Political companies would hire AI tool specialists to create the best election campaign. However, specialists decided to prevent the spread of the fake news. So, they started using Artificial Intelligence to fight against unreal information on the Internet.

That’s why journalists start using fact-checkers. Professionals can use it for the following reasons:

1. The first one is to identify fake photos and videos by using AI tools. They can show if the chosen fact was fabricated.
2. The second one is about finding out the true source of the used news. Such tools help to learn if they are real.
3. The third way is to spot the real language. Robotic texts signal fake facts.

To refute misinformation, journalists need to find several proofs. It often takes them days to surf the available sources. AI tools collect all available sources, analyze them, and provide the ones with the same roots. In other words, it lets correspondents save time on research. Instead, they get verified information that is easy to check.

Who Uses Fact Checkers?

Certain organizations use fact-checkers to investigate the existing information. They mostly explore the news that politicians post on their blogs. These tools analyze the content, including the attached videos and pictures. Fakes have specific prints and characteristics that AI-powered tools can recognize. Such tools identify possible spam, inappropriate content, and malware. How does it work?

• First, it scans the ad or a statement.
• Then, it analyzes speech patterns and visuals.
• Finally, the system looks for the related data online and compares it. If there are matches, the system won’t add them to spam or fakes. If the source roots differ or if it detects falsified visuals, people will continue their research.

Another thing that AI tools do is information analysis relating to the company’s policies. If the content violates the rules of the media platform, the tool will warn about that. In this case, users turn to online support to get explanations. The responsible staff decides if to permit its publishing or not.

To conclude, AI tools help companies to sort out information. If something seems to be fake, humans continue researching. Nobody should completely depend on computer algorithms.

What Are the Best AI Search Engines?

In 2023, Google improved its search with generative AI to contextual answers to complex questions. One can also use AI tools to systematize everything and find the exact data quickly. The found information lacks false data and facts. The best tools for such research are:

One can use AI tools to systematize everything and find the exact data quickly. The found information lacks false data and facts. The best tools for such research are:

• Guru
• GoLink
• Coveo
• Elastic Enterprise AI Search
• Algolia
• IBM Watson Discovery
• Glean
• Google Search
• AlphaSense
• Lucidworks Fusion
• Site Search 360

Such engines are great for intranet searches. They are exact, quick, and personalized.