Artificial Intelligence for detecting fake news on social media – attitude survey Cover Image

Veštačka inteligencija za otkrivanje lažnih vesti na socijalnim medijima – ispitivanje stavova
Artificial Intelligence for detecting fake news on social media – attitude survey

Author(s): Ana Kovačević, Emir DEMIĆ
Subject(s): Politics / Political Sciences
Published by: Институт за међународну политику и привреду
Keywords: risks; machine learning; statistics; questionnaire; algorithms; Serbia

Summary/Abstract: In the modern digital era, social media are playing an important role in in the dissemination of information. Nevertheless, phenomena such as fake news have the potential to considerably compromise user trust. Concurrently, artificial intelligence unveils remarkable opportunities while also introducing great challenges. Artificial intelligence is already employed in identifying fake news on social media platforms, rendering this a crucial area of exploration due to its profound implications on society and politics. This paper examines the application of artificial intelligence on social media, with a particular focus on detecting fake news, through an analysis of the attitudes of the student population. The findings suggest a limited awareness among students about these kinds of programs, highlighting a necessity for the inclusion of these topics in future university curricula. A majority of students believe that artificial intelligence algorithms for detecting fake news are good for society, compared to those who believe the contrary. The results indicate a prevailing concern regarding the potential misuse of these technologies and their impact on freedom of speech, thereby emphasizing the need for impartial oversight and regulation. The research has demonstrated that students are aware of the advantages and limitations of applying artificial intelligence on social media, with older students exhibiting greater receptiveness towards these programs.

  • Issue Year: LXXV/2023
  • Issue No: 4
  • Page Range: 685-710
  • Page Count: 24
  • Language: Serbian