Can AI fight Fake News?

The phenomena of "false news" could have captured the Americans' imagination in 2016. During the presidential campaign and later on following the attempts to falsify the election of Donald Trump, using the fake news on Facebook with another scheme.

The truth is that false or background news has been spread over time and by many for the dissemination of propaganda and conspiracy theories over many years from the 2016 election. The websites, including InfoWars and Brietbart, continue to spread the false news that supports their agendas.

Nevertheless, after the election, it has become a political and public issue, and poor Facebook has become a poster of children's sites for the scheme.

Recently, the social media company admitted its mistakes and tried to do its best with its customers. Now, Facebook's media outlets report to Facebook members through their news. It uses AI to reach.

The company uses AI to identify words or phrases that may mean that the article is actually fake. The facts of this case are based on articles that Facebook members have mentioned separately as fraudulent stories.

The technology currently uses four methods for detecting false information. They include:

  • Web pages: First use this technique Google. It uses facts to create an account for websites. Obviously, web site earning is an act. However, as Google does this, technology has grown dramatically.
  • Pull facts. This method uses natural language processing engines to review the topic of stories. Using AI, other models, find out if other websites are reporting the same facts.
  • Predictable reputation. This technique is based on AI using predictive analysis and a machine that predicts the reputation of websites, taking into account a number of features, including the domain name and the Alexa Web class.
  • Discover sensational words. Fraudsters have used sensational titles to capture the interest of the audience. This technique reveals and flagged false news using a basic analysis.

Actual detection of this type of article is a difficult task by AI. Of course, great data analysis is involved, but it also applies to data accuracy. Set it, in fact, is involved in determining the truthfulness of the data. It can be done using the weight of facts. What happens if false information appears on hundreds of websites at the same time? In these circumstances, using the facts weighing technique can lead to the AI ‚Äč‚Äčthat the story is legitimate. It may be possible to predict the reputation prevalence together with the facts that can help, but there may still be problems. For example, websites with reliable new sources that do not take the time to check news stories can take the right thing to do.

Obviously, use of AI to detect those articles requires more development. A number of organizations are involved in capacity building of the AI. One such institution is the University of West Virginia.

Media College Reed College of West Virginia University Benjamin M. She has collaborated with Stadler's Engineering and Mineral Resources College to teach AI, based on voice recognition.

Students who have opted for computer science work in teams to design and implement their projects that are also involved in the design.

Another group, known as the Fake News Challenge, also tries to successfully fight AI for false news. It is a research organization of more than 100 volunteers and 71 teams from the scientific and industrial sectors to solve the problem of false information. It is a development tool that helps people check and identify fraudulent news.

Since organizations work on AI empowerment, there are a number of tools that can be used to hit those stories. They include:

  • Spike who reveals and predict breakout and viral stories and uses great data to predict what is going to drive involvement.

  • Hoaxy is a tool that helps users discover fake news sites.

  • Snoopey is a website that helps identify phone news articles.

  • CrowdTangle is a tool that helps you control social content.

  • Meedan is a tool that helps you to check online news.

  • Google Trends, which monitors searches.

  • La Decodes is from Le Monde, a database of fake information and real news websites.

  • Pheme is a tool that checks user-created and online content accuracy.

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