Understand Automatic Fake News Detection by Fuzzy Similarity

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Understand Automatic Fake News Detection by Fuzzy Similarity

Fake news, from English fake news, as they are widely known, have caused great influence in society, most of the time, negative influence. According to the analysis of H.Ahmed, I.Traore and S.Saad [1], fake news is a phenomenon that has significantly impacted our social life, particularly in the world of politics. Like what happened in the US presidential elections in 2016, here in Brazil, we also experienced this large-scale demonstration in the presidential elections that took place in 2018. In both cases, there is still much debate internationally about the fact whether or not such news had a direct influence on the final results of the elections. Another serious problem fueled by lying news is the increase in hate speech online.

According to what was published by BBC News Brasil in [9] “Detection of online fake news using n-gram analysis and machine learning techniques”, the Brazilian Federal Public Ministry in cooperation with the NGO SaferNet, which maintains the website denounce .org.br, have been receiving an increasing number of complaints of xenophobia, homophobia, neo-Nazism, racism, religious intolerance, etc. There is also a lot of speculation regarding the impact of misleading news in the health area, where we can observe a very significant increase during the Coronavirus pandemic period, which led the Brazilian Ministry of Health to launch a channel, via whatsapp, where the population you can forward a news item that deals with health, and the portal responds with an official seal identifying whether the news is true or a lie .

Due to its attractive nature, fake news spreads quickly, influencing people’s behavior, say S. Vosoughi, D. Roy, and S. Aral [6]. Products, services, brands, regions, people, etc. are severely harmed by false publications. A survey carried out in 27 countries, in the months of June and July/2018, points out Brazil in first place among the countries where people most believe in fake news, with 62% of its population admitting having, at some point, believed in fake news. some false news, according to D. Cersosimo [2]. This same index was released in 2016 in a survey conducted with the North American population, by J. Gottfried and E. Shearer [3]. The numbers show that the majority of the general public is not able to accurately identify misleading information, often believe that true news is false and vice versa, thus being susceptible to forming their opinions based on erroneous information.