Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 245

The DOI matches its Crossref record.

The availability bias in social perception and interaction

Taylor, Shelley E.·1982·Judgment under Uncertainty

Abstract

Every day the social perceiver makes numerous, apparently complex social judgments – Predicting another's behavior, attributing responsibility, categorizing an individual, evaluating anothers, estimating the power or influence of a person, or attributing causality. A central task of social psychology has been to determine how the social perceiver makes these judgments. Until recently, research on this topic was marked by a rationalistic bias, the assumption that judgments are made using thorough, optimal strategies (see, for example, Fischhoff, 1976, for discussion of this point). Errors in judgment were attributed to two sources: (a) accidental errors due to problems with information of which the perceiver was presumably unaware; and (b) errors which resulted from the irrational motives and needs of the perceiver. Within social psychology this perspective is represented by research on causal attribution. In early attribution formulations (e.g., Jones & Davis, 1965; Kelley, 1967) the social perceiver was characterized as a naive scientist who gathered information from multiple sources in the environment to make attributions regarding cause-effect relations. When departures from these normative models were observed, they were believed to stem from biases such as hedonic relevance (Jones & Davis, 1965) or other egocentric needs (see Miller & Ross, 1975).

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1017/cbo9780511809477.014

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 245

Metadata

Authors
Taylor, S. E.
Venue
Judgment under Uncertainty
Published
1982-04-30
Pages
190-200
OpenAlex
W193694093
Cited by
245
References
0
FWCI
38.76
Type
book chapter
Language
en
Open access
closed

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The availability bias in social perception and interaction. https://app.cochat.ai/papers/10.1017/cbo9780511809477.014
The paper
Taylor, S. E. (1982). The availability bias in social perception and interaction. Judgment under Uncertainty. https://doi.org/10.1017/cbo9780511809477.014

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.