It started as a game. Or Levi, an Israeli former scientific adviser on eBay, has provoked his friends: Could they see the automatically generated fake news from the real? The game was successful and Levi realized that if fake news could be created automatically, artificial intelligence (AI) could be used to recognize them.
“I wanted to use artificial intelligence to break the problem into smaller problems that could be resolved by artificial intelligence“,
says Levy. Thus, in 2017, “Adverif.ai” was born, the year when the Collin dictionary drew the term “fake news” as the word of the year.
©Sofokleousin.gr Israel: Eliminate fake news with the help of artificial intelligence
The 29-year-old Israeli Levi lives in the Netherlands where his company is based, and has a team working in both Israel and the United States.
The sophisticated algorithm takes the existing content and first checks to see if it has already been evaluated and is trusted by other sources of event control. According to Levi, fake news can be traced partly because of the language used in such publications, the short paragraphs filled of emotion and excuses, exclamations and question marks, which is not the case in reliable news. At a time when news comes from many sources and is easily spread not only by trusted news organizations, the stakes are enormous. At present, organizations like Google and Facebook employ thousands of people to detect fake news and malicious content. Levi claims his software has 90% accuracy, arguing that it is perhaps impossible to achieve 100%. The tool it owns will not completely replace human control, but will speed up the process.
In an effort to correct the mistakes of the past, Facebook last week announced a partnership with the Associated Press (AP) aimed at eliminating “false and misleading articles” related to the upcoming mid-term elections in the United States.
The main markets targeted by Advertisingf.ai are the advertising market, newsgroups and online media, as well as governmental and non-governmental organizations. The advertising market is perhaps more lucrative, but also more vulnerable to fake news. The main source of malicious content is usually “Clickbait”, the so-called catchy titles designed to attract the attention of the reader.
“What we are trying to do is cut the channel between advertising networks and those who are spreading fake news. once they do not have the incentives, we hope they will turn to other areas”,
However, the question arises, as the AMNA reports, if advertisers quit the project in order to enhance their credibility. According to a study recently published by the Massachusetts Institute of Technology (MIT), fake news was 70% more likely to reappear from real news. This is partly due to the language characteristics that the Adverif.ai algorithm uses to determine this content. Levy refused to give business names working with Adverif.ai, saying only that he has clients from social networking media and advertising. He also said that he collaborates pro bono with some information and fact finding bodies.
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