Algorithm Appreciation
Algorithm appreciation is a tendency to give greater weight to advice believed to come from an algorithm than to comparable human advice. It concerns how the attributed source affects reliance in a particular task. Such a preference does not prove that the algorithm is more accurate, nor that the person relying on it is overconfident.
Term statusEstablished Concept
A concept used in academic or professional literature. This label does not mean every claim about it is settled. About these labels.
Evidence for the claims on this page: Experimental evidence within defined tasks
Advice-taking experiments support a preference under particular conditions. They do not establish universal trust in algorithms.
How to read this assessmentWhat it is
Algorithm appreciation describes a relative preference for algorithmic judgment, measured through advice use or related choices. It concerns how the attributed source of advice affects reliance. (Logg et al., 2019)
In everyday language
Knowing that a recommendation came from a computer can make it more influential, even when the advice itself is unchanged.
What it isn't
It is not proof that algorithms are always more accurate or that their users are always overconfident. Preference and inappropriate reliance are distinct questions.
An example
Hypothetical example: two people receive the same numerical estimate. The person told it was generated by an algorithm adjusts their own estimate more strongly toward it.
Key features
- Compares algorithmic and human sources
- May occur with identical advice labeled differently
- Varies with the task and the person receiving advice
How it relates to synthetic imprinting
It provides a way to test whether an AI label influences credibility separately from a message's wording or visual realism.
Research context
Logg, Minson, and Moore found greater use of algorithmic advice across several judgment experiments, with important boundary conditions. Algorithm appreciation and algorithm aversion describe patterns that can occur under different circumstances. (Logg et al., 2019)
Related terms
Sources and what they support
- Algorithm appreciation: People prefer algorithmic to human judgment — Jennifer M. Logg, Julia A. Minson, Don A. Moore (2019). Organizational Behavior and Human Decision Processes.
Peer-reviewed research. Studies conditions in which people give algorithmic advice more weight than human advice.
Cite this definition
SyntheticImprinting.com Editorial Project. (2026-09-27). Algorithm Appreciation. Version 1.4. SyntheticImprinting.com. https://syntheticimprinting.com/terms/algorithm-appreciation/
APA: SyntheticImprinting.com. (2026). Algorithm Appreciation. https://syntheticimprinting.com/terms/algorithm-appreciation/
MLA: “Algorithm Appreciation.” SyntheticImprinting.com, 2026, https://syntheticimprinting.com/terms/algorithm-appreciation/. Accessed November 12, 2026.
Chicago: SyntheticImprinting.com. “Algorithm Appreciation.” Last modified 2026-09-27. https://syntheticimprinting.com/terms/algorithm-appreciation/.
Revision history
- Version 1.4 · Current
Added claim-level citations and a separate assessment of evidence support. The opening definition is unchanged.
Read this version’s definition
Algorithm appreciation is a tendency to give greater weight to advice believed to come from an algorithm than to comparable human advice. It concerns how the attributed source affects reliance in a particular task. Such a preference does not prove that the algorithm is more accurate, nor that the person relying on it is overconfident.
- Version 1.3
Expanded the opening definition; added explicit boundaries, source context, related-term cards, and linked editorial attribution.
Read the previous definition
Algorithm appreciation is a tendency to give greater weight to advice believed to come from an algorithm than to comparable human advice. It concerns how the attributed source affects reliance in a particular task. Such a preference does not prove that the algorithm is more accurate, nor that the person relying on it is overconfident.
- Version 1.0
Definition recorded in the previous release. Earlier edits are not reconstructed here.
Read the previous definition
Algorithm appreciation is a tendency to give greater weight to advice believed to come from an algorithm than to comparable human advice.
What the status means
Established Concept
A concept used in academic or professional literature. This label does not mean every claim about it is settled.
How evidence labels workHelp improve this entry
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