The role of artificial intelligence algorithms in the social web

Authors

DOI:

https://doi.org/10.15448/1980-3729.2020.1.34074

Keywords:

Artificial Intelligence. Social Networks. Fake News.

Abstract

Since 2016 in the United States and Europe the topic of fake news has become a central concern of journalism because of the damage that this phenomenon causes especially to the healthy preservation of democratic systems. In 2018, the electoral process brought this theme to the climax of debates in Brazil. It is in social networking applications that fake news proliferate and it is no longer unknown that both social networks and browsers are now under the control of artificial intelligence algorithms. Because of the lack of knowledge about how these algorithms work and the fear that films and series on the subject have awakened in people, a certain negative feeling has developed against algorithms, especially the ones of artificial intelligence. In view of this, based on careful research on the current trends in artificial intelligence, this article aims to demystify unfounded beliefs and fantasies by objectively demonstrating how artificial intelligence works and the role it plays behind the functioning of social networks.

Downloads

Download data is not yet available.

References

BOSTROM, Nick. Dinosaurs, dodos, humans? In: WORLD ECONOMIC FORUM. Global Agenda. Oxford: WEF, 2006. p. 230-1. Disponível em: https://nickbostrom.com/papers/globalagenda.pdf. Acesso em: 12 jan. 2019.

BOSTROM, Nick. Superintelligence: paths, dangers, strategies. Oxford: Oxford Press, 2014.

BURKOV, Andriy. The hundred-page machine learning book. Publisher: Andriy Burkov, 2019.

COZMAN, Fabio. Inteligência Artificial: uma utopia, uma distopia. TECCOGS: Revista Digital de Tecnologias Cognitivas, São Paulo, n. 17, p. 32-42, jan./jun. 2018.

FORD, Martin. Architects of intelligence: the truth about AI from the people building it. Birmingham: Pack Publishing, 2018.

FORSTER, Edward Morgan. The machine stops. Londres: Penguin Books, 2011.

GERRISH, Sean. How smart machine think. Cambridge: MIT Press, 2018. https://doi.org/10.7551/mitpress/11440.001.0001

HARARI, Yuval Noah. Homo Deus: uma breve história do amanhã. São Paulo: Companhia das Letras, 2016.

KAUFMAN, Dora. A inteligência artificial irá suplantar a inteligência humana? São Paulo: Estação das Letras e Cores, 2019.

KRIZHEVSKY, Alex; SUTSKEVER, Ilya; HINTON, Geoffrey E. ImageNet classification with deep convolutional neural networks. Toronto:[s. n.], 2012. p. 1-9. Disponível em: https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf. Acesso em: 20 jan. 2019. https://doi.org/10.1145/3065386

MAYER-SCHÖNBERGER, Viktor; CUKIER, Kenneth. Big data: a revolution that will transform how we live, work, and think. Nova York: Houghton Mifflin Harcourt, 2013. https://doi.org/10.3359/oz1314047

MOSSERI, Adam. News Feed Ranking in Three Minutes Flat: How Does News Feed Work?. [S. l.: s. n.], 2018. Disponível em https://newsroom.fb.com/ news/2018/05/inside-feed-news-feed-ranking/. Acesso em: 12 jan. 2019. https://doi.org/10.18254/s0000057-4-1

PARISER, Eli. The filter bubble: what the internet is hiding from you. Londres: Penguin Books, 2011.

SANTAELLA, Lucia. A pós-verdade é verdadeira ou falsa? São Paulo: Estação das Letras e Cores, 2018.

SUNSTEIN, Cass R. #republic: divided democracy in the age of social media. Princeton: Princeton University Press, 2017. https://doi.org/10.1086/696988

WIEDERER, Christine. Redes neurais em JavaScript. Desenvolvimento. IMasters, [S. l.], p. 1-2, 20 jun. 2016. Disponível em: https://imasters.com.br/desenvolvimento/redes-neurais-em-javascript. Acesso em: 12 jan. 2019. https://doi.org/10.21528/cbrn1994-056

Published

2020-05-29

How to Cite

Kaufman, D., & Santaella, L. (2020). The role of artificial intelligence algorithms in the social web. Revista FAMECOS, 27(1), e34074. https://doi.org/10.15448/1980-3729.2020.1.34074