Using Big Data
Abstract
Globally, billions of people use online platforms and digital devices to communicate, socialize, study, shop, and work … These digital footprints of thought and behavior are commonly captured and recorded, creating extensive datasets widely referred to as Big Data … an invaluable resource for researchers interested in the human mind and behavior.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Even if personal data is protected, non-personal data can be used to statistically infer identifiable information, which may be linked to medical data.
“even if personal data is protected, non-personal data can be used to statistically infer identifiable information, which may be linked to medical data141.”
From A scoping review on the mental health harms of LLM-based chatbots (2026) · cites this paper as [141]
Cited by
Sorted by citations
A scoping review on the mental health harms of LLM-based chatbots
Diel, A., Torous, J., Cuijpers, P., Kleesiek, J., Nensa, F., Weber, N., Faust, F., Lalgi, T. J., Mellis, F. S., Teufel, M., et al. (2026) · npj Digital Medicine · doi:10.1038/s41746-026-03054-x · Cited by 4 · see citing works
- Authors
- Kosinski, M.
- ORCID
- Kosinski, Michal
- Venue
- Handbook of Social Psychlogy 6th Edition
- Publisher
- Situational Press
- Published
- 2025-05
- OpenAlex
- W4410426883
- Cited by
- 1
- References
- 0
- Citations by year
- 2026: 1
- FWCI
- 4.37
- Type
- book chapter
- Language
- en
- Open access
- closed
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Social Sciences › General Social Sciences › Computational and Text Analysis Methods
- Keywords
- big data, digital footprint, online behavior, human behavior, digital data sources
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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