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Exploring the Darkverse: A Multi-Perspective Analysis of the Negative Societal Impacts of the Metaverse

Lookup NU author(s): Professor Savvas PapagiannidisORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

The Metaverse has the potential to form the next pervasive computing archetype that can transform many aspects of work and life at a societal level. Despite the many forecasted benefits from the metaverse, its negative outcomes have remained relatively unexplored with the majority of views grounded on logical thoughts derived from prior data points linked with similar technologies, somewhat lacking academic and expert perspective. This study responds to the dark side perspectives through informed and multifaceted narratives provided by invited leading academics and experts from diverse disciplinary backgrounds. The metaverse dark side perspectives covered include: technological and consumer vulnerability, privacy, and diminished reality, human–computer interface, identity theft, invasive advertising, misinformation, propaganda, phishing, financial crimes, terrorist activities, abuse, pornography, social inclusion, mental health, sexual harassment and metaverse-triggered unintended consequences. The paper concludes with a synthesis of common themes, formulating propositions, and presenting implications for practice and policy.


Publication metadata

Author(s): Dwivedi YK, Kshetri N, Hughes L, Rana NP, Baabdullah AM, Kar AK, Koohang A, Ribeiro-Navarrete S, Belei N, Balakrishnan J, Basu S, Behl A, Davies GH, Dutot V, Dwivedi R, Evans L, Felix R, Foster-Fletcher R, Giannakis M, Gupta A, Hinsch C, Jain A, Jane Patel N, Jung T, Juneja S, Kamran Q, Mohamed Ab S, Pandey N, Papagiannidis S, Raman R, Rauschnabel PA, Tak P, Taylor A, tom Dieck MC, Viglia G, Wang Y, Yan M

Publication type: Article

Publication status: Published

Journal: Information Systems Frontiers

Year: 2023

Volume: 25

Pages: 2071–2114

Print publication date: 01/10/2023

Online publication date: 02/06/2023

Acceptance date: 05/05/2023

Date deposited: 02/06/2023

ISSN (print): 1387-3326

ISSN (electronic): 1572-9419

Publisher: Springer New York LLC

URL: https://doi.org/10.1007/s10796-023-10400-x

DOI: 10.1007/s10796-023-10400-x


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Funding

Funder referenceFunder name
UK Academy for Information Systems (UKAIS) small grant scheme 2022

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