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

Author:

Stupavský Igor1ORCID,Dakić Pavle12ORCID,Vranić Valentino1ORCID

Affiliation:

1. Faculty of Informatics and Information Technologies, Slovak University of Technology in Bratislava, 842 16 Bratislava, Slovakia

2. Faculty of Informatics and Computing, Singidunum University, Danijelova 32, 842 16 Belgrade, Serbia

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.

Funder

Slovak national project Increasing Slovakia’s Resilience Against Hybrid Threats by Strengthening Public Administration Capacities

European Regional Development Fund

Advancing University Capacity and Competence in Research, Development, and Innovation

ERDF, rurALLURE project

Slovak Research and Development Agency

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference69 articles.

1. Liu, P., Guberman, J., Hemphill, L., and Culotta, A. (2018, January 25–28). Forecasting the presence and intensity of hostility on Instagram using linguistic and social features. Proceedings of the International AAAI Conference on Web and Social Media, Palo Alto, CA, USA.

2. Saha, K., Ernala, S.K., Dutta, S., Sharma, E., and Choudhury, M.D. (2020). Lecture Notes in Computer Science, Springer International Publishing.

3. Crime and Philanthropy: Prosocial and Antisocial Responses to Mass Shootings;Berrebi;Vict. Offenders,2020

4. Cheating in online gaming spreads through observation and victimization;Kim;Netw. Sci.,2020

5. No diga fake news, di desinformación: Una revisión sobre el fenómeno de las noticias falsas y sus implicaciones;Comunicación,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3