Internet Research in Psychology
Abstract
Today the Internet plays a role in the lives of nearly 40% of the world's population, and it is becoming increasingly entwined in daily life. This growing presence is transforming psychological science in terms of the topics studied and the methods used. We provide an overview of the literature, considering three broad domains of research: translational (implementing traditional methods online; e.g., surveys), phenomenological (topics spawned or mediated by the Internet; e.g., cyberbullying), and novel (new ways to study existing topics; e.g., rumors). We discuss issues (e.g., sampling, ethics) that arise when doing research online and point to emerging opportunities (e.g., smartphone sensing). Psychological research on the Internet comes with new challenges, but the opportunities far outweigh the costs. By integrating the Internet, psychological research has the ability to reach large, diverse samples and collect data on actual behaviors, which will ultimately increase the impact of psychological research on society.
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Conducting Clinical Research Using Crowdsourced Convenience Samples
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- Authors
- Gosling, S. D., & Mason, W.
- Affiliations
- The University of Texas at Austin (US)
- Stevens Institute of Technology (US)
- Venue
- Annual Review of Psychology
- Publisher
- Annual Reviews
- Published
- 2015-01-03
- Volume
- 66
- Issue
- 1
- Pages
- 877-902
- ISSN
- 0066-4308 (ISSN-L)
- 1545-2085
- OpenAlex
- W2141009959
- Cited by
- 458
- References
- 137
- Citations by year
- 2026: 16 · 2025: 33 · 2024: 48 · 2023: 33 · 2022: 45 · 2021: 65 · 2020: 41 · 2019: 49 · 2018: 35 · 2017: 42 · 2016: 35 · 2015: 15
- FWCI
- 10.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Psychology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Social Sciences › Sociology and Political Science › Focus Groups and Qualitative Methods
- Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
- Keywords
- internet research methods, online surveys, cyberbullying, rumors, sampling issues, research ethics, smartphone sensing
- MeSH terms
- Humans, Psychology, Internet, Behavioral Research
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 ›
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