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OpenAI's algorithm is causing concern as it can instantly create false information for media platforms

Has Artificial Intelligence Increased the Spread of ‘Fake News’?

By Mamar Abdoulaye Maga on Mar 26, 2019
According to a recent Bloomberg article, OpenAI, a nonprofit organization, co-founded by Elon Musk, has developed an algorithm that can write human-like stories through harnessing AI and analyzing a data set of over eight (8) million websites. Although this is not the only function of this dialog bot, it is causing concern as it can instantly create false information for media platforms, increasing the spread of fake news and disinformation.

“The rise of misinformation in the Internet era is presumably caused by the ease of content creation, transmission and access/ retrieval (Zelizer, 2004),” affirmed by Prof. Anastasia Katsaounidou from Aristotle University of Thessaloniki, Greece, in her authored chapter, “Authentication by Humans” from the publication Cross-Media Authentication and Verification: Emerging Research and Opportunities.

Today, fake news has caught the attention of millions of readers. “This phenomenon is not new, since it appeared, in some form, in the sixth century,” (Darnton, 2017). It became such a polemic, due to the ease of content creation and transmission all over internet and social media. Since the public trust in the news has fallen, it has become a priority for media outlets to regain the public’s trust. As this situation keeps on spreading, new ways and methods of verification are vital.

Additionally, learning the history of fake news helps the public to remain aware of the necessity of a credible source. People are so focused on social media that, “When people see news from a person they trust, they are more likely to think it is credible, contains diverse points of view, and is well reported than if the same article would be shared by someone they are skeptical of,” implied by Prof. Tracy Simmons from Gonzaga University, USA, author of “Media Literacy and Fake News: How Media Literacy Can Curb the Fake News Trend” from the publication Handbook of Research on Media Literacy in Higher Education Environments. However, fake news can be reduced, once the public starts to engage in the seeking of credible sources such as regular media streams.

In order to fully comprehend and avoid falling for fake news, understanding the difference between facts and narration is critical. “Narrative is a crucial aspect for the development of the intelligence of artificial agents,” stated Prof. Taisuke Akimoto from Kyushu Institute of Technology, Japan, author of the chapter “Narratives of an Artificial Agent: Mental World and Narrating” from the publication Content Generation Through Narrative Communication and Simulation.

As humans employ many channels of communication, artificial intelligence employs narration through which it can generate stories varying from fictional to circumstantial in order to make the story or news look legitimate. This mode allows them to have generate stories varying from fictional to circumstantial in order to make the story or news look legitimate. Today, with progress being made on software systems, Artificial Intelligence are becoming more accurate in the creation of fake contents. This means that, it is harder to evaluate the validity of those contents. Regular ways of spotting fake news are starting to be obsolete. Therefore, it is important to find many new ways of identifying fake news article, notably self-awareness.
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References

Zelizer B. (2004). When Facts, Truth, and Reality Are God-terms: On journalism’s uneasy place in cultural studies. Communication and Critical/Cultural Studies, 1(1), 100–119. 10.1080/1479142042000180953

Darnton, R. (2017). The True History of Fake News. The New York Review of Books. Available at: http://www.nybooks.com/daily/2017/02/13/the-true-history-of-fake-news/


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