The Impact of Fake News on Traveling and Antisocial Behavior in Online Communities: Overview

Abstract

The concept of “fake news” has become widespread in recent years, especially with the rise of the Internet. Fake news has become a worldwide phenomenon in the consumption of online information, as it is often designed to look like real news and is widely shared on social networks. Concerns regarding the possible detrimental effects of fake news on the public’s knowledge of events and topics, as well as on democracy and public discourse in general, have arisen as a result of the rise of social networks. This article aims to provide a summary of a scientific investigation of antisocial behavior from historical research, conceptual analysis, and qualitative research in the form of a case study method. With the aim of analyzing online forums and the concept of disinformation using fake news, its implications have consequences that provoke reflection on this phenomenon. In the results, we propose a framework for investigating and evaluating the concepts of fake news and its interaction with other forms of antisocial behavior, including whether we can achieve satisfactory results with a reduced amount of searched text. The desire is to observe whether we can use our proposed procedure with the application of artificial intelligence with the VADER BERT model in combination with the intensity of individual types of sentiment.

Keywords

• fake news
• antisocial behavior
• online communities
• VADER BERT model