Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
7-2024
Abstract
Scams are fraudulent activities aiming to deceive individuals into relinquishing money, property, or rights, and they have proliferated in the context of widespread misinformation and disinformation. In this paper, we propose strategies and a research plan to address key questions about the exploitation of new communication technologies by scammers, the prevalence and nature of different scam types, and the language characteristics and appeals used in scamming content. We aim to develop a comprehensive taxonomy of scams and identify factors that contribute to their persuasiveness. Additionally, we propose the use of advanced technologies, including artificial intelligence, physiological measures, and brain mapping, to detect, investigate, and combat scams. The findings will inform the creation of educational resources and interventions, including databases, short videos, an online repository for crowdsourcing scam cases, community training programs, and online courses aimed at improving scam detection and prevention. By leveraging interdisciplinary expertise, this study seeks to develop a multi-faceted approach to mitigate the impact of scams and foster a more informed and resilient public.
Keywords
Scams, media, language, appeals, affordances, taxonomy; neural correlated, physiological measures
Discipline
Communication Technology and New Media | Databases and Information Systems | Graphics and Human Computer Interfaces
Research Areas
Information Systems and Management
Publication
HCI International 2024: Late breaking papers, Washington, DC, June 29 - July 4: Proceedings
Volume
15380
First Page
392
Last Page
408
ISBN
9783031768217
Identifier
10.1007/978-3-031-76821-7_27
Publisher
Springer
City or Country
Cham
Citation
ZHOU, Shuhua; LIU, Xiao Fan; NAH, Fiona Fui-hoon; HARRISON, S.; ZHANG, X.; ZHEN, S.; YEUNG, D.; HSIAO, J.; LC, R.; CHAN, A.; WANG, X.; JIANG, C.; LIN, F.; LI, J.; WONG, A.; CHAN, L.; GEORGE, B.; and LI, P..
Understanding and fighting scams: Media, language, appeals and effects. (2024). HCI International 2024: Late breaking papers, Washington, DC, June 29 - July 4: Proceedings. 15380, 392-408.
Available at: https://ink.library.smu.edu.sg/sis_research/9989
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/978-3-031-76821-7_27
Included in
Communication Technology and New Media Commons, Databases and Information Systems Commons, Graphics and Human Computer Interfaces Commons
