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Journal of Experimental Psychology: General

Searching for explanations: How the Internet inflates estimates of internal knowledge

2015-06-01232 citationsDOI 10.1037/xge0000070

Matthew Fisher · Mariel K. Goddu · Frank C. Keil

Key Takeaway

Across nine experiments, online search increased participants estimates of their own explanatory knowledge, including on unrelated topics. The studies identify confusion between access to external information and internally held knowledge.

AI-generated HIE assessment

Study Design

multi experiment study

title and abstract

What the Study Found

Across nine experiments, people who searched online for explanations subsequently rated their own explanatory knowledge more highly, including on unrelated topics. The authors argue that access to external information can be confused with knowledge held internally. The studies identify a metacognitive calibration risk, but they measure short-term self-assessment rather than durable learning or real-world decision quality.

Original paper record

Evidence Strength

Evidence strengths

  • Nine experiments
  • Tests multiple alternative explanations

Limitations

  • Short-term self-report outcomes
  • Does not measure durable learning

What This Does Not Prove

This record does not establish effects beyond the population, tasks, duration, and methods described by the paper. It should not be read as a universal causal claim.

HIE Interpretation

Direct evidence that online search can distort metacognitive estimates of internal knowledge.

AI-generated HIE assessment · AI assessment confidence 91

Related Topics

  • Cognitive Science
  • Learning
  • Self

Connected Claims

Original Source

DOI 10.1037/xge0000070 ↗