Journal article
'Don't Fall for This': Communications about Cybersafety from the AARP
Proceedings of the ACM on human-computer interaction, v 7(CSCW2), pp 1-21
04 Oct 2023
Abstract
Older adults face unique risks in trying to secure their online activities. They are not only the frequent targets of scams and fraud; they are the targets of a barrage of cybersafety communiqués whose impact is unclear. AARP, the United States advocacy group focusing on issues facing older adults over the age of 50, is among those educators whose strategies remain underexplored, yet their reach makes it imperative that we understand what they are saying, to whom, and to what effect. Drawing on an analysis of AARP publications about cybersafety and privacy, we sought to better understand their discourse on the topic. We report on findings that AARP's language may have the effect of portraying bad actors ("fraudsters") as individuals, rather than enterprises, which at the target end, personalizes interactions, placing too much onus on individual users to assess and deflect threats. AARP's positioning of, and guidance about, threats may sometimes prompt a thought process that puts users at the center of the narrative and may encourage engagement. Instructing older Americans, or anyone, on the forensics of cyber-sleuthing is enormously difficult. We conclude with a discussion of different approaches to cybersafety, one that involves educating older adults about the rudiments of surveillance capitalism.
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Details
- Title
- 'Don't Fall for This': Communications about Cybersafety from the AARP
- Creators
- Nora McDonald - George Mason UniversityHelena M. Mentis - University of Maryland, Baltimore County
- Publication Details
- Proceedings of the ACM on human-computer interaction, v 7(CSCW2), pp 1-21
- Publisher
- ACM
- Number of pages
- 21
- Grant note
- CNS-1714514 / National Science Foundation (http://dx.doi.org/10.13039/100000001)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Scopus ID
- 2-s2.0-85174388132
- Other Identifier
- 991021916800504721