The ethics of persuasive technology
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Web design researchers have developed new addicting technologies that combine engineering and behavioral psychology to ensure website users will be 'persuaded' to behave as the designer wants.
“But web design researchers have gone on to develop new addicting technologies that combine engineering and behavioral psychology to ensure website users will be ' persuaded ' to behave as the designer wants (Alter, 2017; Fogg, 2003; Lanier, 2018; Price, 2018).”
From Ethics of the Attention Economy: The Problem of Social Media Addiction (2021) · cites this paper as Fogg, 2003
Trust in a system may be formed by prior experience with or presumption about the system, which then affects credibility assessment.
“Trust in a system may be formed by prior experience with or presumption about the system, which then affects credibility assessment (i.e., earned and presumed credibility; Fogg, 2003).”
From College students' credibility assessments of <scp>GenAI</scp>‐generated information for academic tasks: An interview study (2025) · cites this paper as Fogg, 2003
Students primarily considered content-related cues when evaluating ChatGPT information credibility, followed by those related to design and application characteristics.
“Based on a web credibility framework categorizing various cues into three groups-application, content, and design (Fogg, 2003)-students primarily considered content-related cues when evaluating ChatGPT information credibility, followed by those related to design and application characteristics (Table 5).”
From College students' credibility assessments of <scp>GenAI</scp>‐generated information for academic tasks: An interview study (2025) · cites this paper as Fogg, 2003
The citation lists haven’t been fetched yet
References 28 · Cited by 473
- Authors
- Fogg, B. J.
- Affiliations
- Stanford University (US)
- Corresponding author
- Fogg, B.J.
- Venue
- Persuasive Technology
- Publisher
- Elsevier
- Published
- 2003
- Pages
- 211-239
- OpenAlex
- W2493561953
- Cited by
- 473
- References
- 28
- Citations by year
- 2026: 55 · 2025: 41 · 2024: 29 · 2023: 31 · 2022: 29 · 2021: 37 · 2020: 37 · 2019: 45 · 2018: 23 · 2017: 13 · 2016: 26 · 2015: 13 · 2014: 20 · 2013: 11 · 2012: 11
- FWCI
- 4.54
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Elsevier eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Sociology and Political Science › Psychology of Social Influence
- Keywords
- persuasive technology, ethics of persuasion, distraction, novelty, user vulnerability
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
