Understanding why searching the internet inflates confidence in explanatory ability
Abstract
People rely on the internet for easy access to information, setting up potential confusion about the boundaries between an individual's knowledge and the information they find online. Across four experiments, we replicated and extended past work showing that online searching inflates people's confidence in their knowledge. Participants who searched the internet for explanations rated their explanatory ability higher than participants who read but did not search for the same explanations. Two experiments showed that extraneous web page content (pictures) does not drive this effect. The last experiment modeled how search engines yield results; participants saw (but did not search for) a list of hits, which included “snippets” that previewed web page content, before reading the explanations. Participants in this condition were as confident as participants who searched online. Previewing hits primes to‐be‐read content, in a modern‐day equivalent of Titchener's famous example of a brief glance eliciting false feelings of familiarity.
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IOED arises from a false sense of familiarity with a large body of information, which emerges when participants are exposed to multiple snippets from different websites.
“Eliseev & Marsh (2023) conceptually replicated the findings by Fisher et al. (2015) but proposed a different mechanism for the effect: according to them, the IOED does not arises from knowledge misattribution, rather from a false sense of familiarity with a large body of information, which emerges when participants are exposed to multiple snippets from different websites.”
From Overconfidence without Understanding: AI Explanations Increase the Illusion of Explanatory Depth (2025) · cites this paper as Eliseev & Marsh (2023)
The emergence of IOED in digital contexts is more likely driven by knowledge misattribution rather than by the presentation of numerous snippets.
“Importantly, they demonstrate a similar effect in an interface fundamentally different from search engines, suggesting that the emergence of IOED in digital contexts is more likely driven by knowledge misattribution (Fisher & Oppenheimer, 2021;Ward, 2021) rather than by the presentation of numerous snippets (Eliseev & Marsh, 2023).”
From Overconfidence without Understanding: AI Explanations Increase the Illusion of Explanatory Depth (2025) · cites this paper as Eliseev & Marsh, 2023
Cites
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Uninformative photos can increase people's perceived knowledge of complicated processes.
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Artificial intelligence and illusions of understanding in scientific research
Messeri, L., & Crockett, M. J. (2024) · Nature · doi:10.1038/s41586-024-07146-0 · Cited by 707 · see citing works
The Metacognitive Demands and Opportunities of Generative AI
Tankelevitch, L., Kewenig, V., Simkute, A., Scott, A. E., Sarkar, A., Sellen, A., & Rintel, S. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642902 · Cited by 280 · see citing works
Overconfidence without Understanding: AI Explanations Increase the Illusion of Explanatory Depth
Aslanov, I., Felmer, P., & Guerra, E. (2025) · doi:10.31234/osf.io/8psgf_v1
- Authors
- Eliseev, E. D., & Marsh, E. J.
- Affiliations
- Duke University (US)
- Corresponding author
- Marsh, Elizabeth J.
- Venue
- Applied Cognitive Psychology
- Publisher
- Wiley
- Published
- 2023-03-20
- Volume
- 37
- Issue
- 4
- Pages
- 711-720
- ISSN
- 0888-4080 (ISSN-L)
- 1099-0720
- OpenAlex
- W4323925757
- Cited by
- 20
- References
- 6
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 6 · 2023: 4
- FWCI
- 3.62
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Applied Cognitive Psychology (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Social Sciences › Psychology › Developmental and Educational Psychology › Educational Strategies and Epistemologies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Keywords
- overconfidence, web search, online information, metacognition, search engine snippets, knowledge confidence
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