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

2023 | Information Systems Frontiers | Citations: 0

Authors: Dwivedi, Yogesh K.; Kshetri, Nir; Hughes, Laurie; Rana, Nripendra P.; Baabdullah, Abdullah M.; Kar, Arpan Kumar; Koohang, Alex; Ribeiro-Navarrete, Samuel; Belei, Nina; Balakrishnan, Janarthanan; Basu, Sriparna; Behl, Abhishek; Davies, Gareth H.; Dutot, Vincent; Dwivedi, Rohita; Evans, Leighton; Felix, Reto; Foster-Fletcher, Richard; Giannakis, Mihalis; Gupta, Ashish; Hinsch, Chris; Jain, Animesh; Jane Patel, Nina; Jung, Timothy; Juneja, Satinder; Kamran, Qeis; Mohamed AB, Sanjar; Pandey, Neeraj; Papagiannidis, Savvas; Raman, Ramakrishnan; Rauschnabel, Philipp A.; Tak, Preeti; Taylor, Alexandra; tom Dieck, M. Claudia; Viglia, Giampaolo; Wang, Yichuan; Yan, Meiyi

Abstract: The Metaverse has the potential to form the next pervasive computing archetype t ... Expand

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. Collapse

Topics: virtual reality privacy unintended consequence artificial intelligence IT security

Methods: digital trace data computational algorithm design guideline synthesis ethnography

Information Transparency and Market Efficiency in Blockchain-enabled Marketplaces: Role of Traders’ Analytical Ability

2023 | International Conference on Information Systems | Citations: 0

Authors: Zhang, Hong; Zheng, Zhiqiang; Mehra, Amit

Abstract: Classic economic theory asserts that full information transparency entails info ... Expand

Abstract: Classic economic theory asserts that full information transparency entails information symmetry and, thus, market efficiency. We test if this theory still holds in a blockchainenabled marketplace where full information transparency is accomplished. We leverage the data from EnjinX, a non-fungible-token (NFT) marketplace, where the entire historical NFT transactions are symmetrically accessible to all buyers and sellers. We surprisingly observe substantial market inefficiencies. To explain this paradox that inefficiencies persist even in a fully information-transparent environment, we propose that traders' limited analytical ability, rather than information asymmetry, ultimately drives market inefficiencies. We quantify analytical ability by examining whether traders' performance can be augmented by machine-learning algorithms. And we find that having ten more historical transactions increases market efficiency by 1.10%. However, market efficiency could decrease by 69.02% when traders cannot effectively consume the available information. Our findings contribute to the literature by quantifying analytical ability and highlighting the analytical-ability divide phenomenon. Collapse

Topics: blockchain digital divide Ethereum non-fungible token application programming interface

Methods: computational algorithm machine learning experimental group experiment ordinary least square

Theories: lemon market theory