The DOI matches its Crossref record.
Technology and History: “Kranzberg’s Laws”
Overview
Integrity signals
Registry
Cites
Statistics
Verification
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?
In the citing paper
“and that it is neither inherently good nor bad, nor neutral (Kranzberg, 1986).”
From “ChatGPT seems too good to be true”: College students’ use and perceptions of generative AI (2024) · cites this paper as Kranzberg, 1986
In the citing paper
“The unequal power relationships, contextual uses, and access disparities within society shape the diffusion and imple mentation of ChatGPT (Kranzberg, 1986; Warschauer, 2004).”
From “ChatGPT seems too good to be true”: College students’ use and perceptions of generative AI (2024) · cites this paper as Kranzberg, 1986
Citations
Cites
Still being checked.
Cited by
boyd, D., & Crawford, K. (2012) · Information, Communication & Society · doi:10.1080/1369118x.2012.678878 · Cited by 5,479
Automation, Algorithms, and Beyond: Why Work Design Matters More Than Ever in a Digital World
Parker, S. K., & Grote, G. (2022) · Applied Psychology · doi:10.1111/apps.12241 · Cited by 960
Big data for development: a review of promises and challenges
Hilbert, M. (2016) · Development Policy Review · doi:10.1111/dpr.12142 · Cited by 679
Learning in One-to-One Laptop Environments: A Meta-Analysis and Research Synthesis
Zheng, B., Warschauer, M., Lin, C.-H., & Chang, C. (2016) · Review of Educational Research · doi:10.3102/0034654316628645 · Cited by 312
Taken Out of Context: American Teen Sociality in Networked PublicsPreprint
Boyd, D. (2009) · SSRN Electronic Journal · doi:10.2139/ssrn.1344756 · Cited by 336
Metadata
- Authors
- Kranzberg, M.
- Corresponding author
- Kranzberg, Melvin
- Venue
- Technology and Culture
- Publisher
- Project MUSE
- Published
- 1986-07
- Volume
- 27
- Issue
- 3
- Pages
- 544-560
- ISSN
- 0040-165X (ISSN-L)
- 1097-3729
- OpenAlex
- W3135089173
- Cited by
- 144
- References
- 0
- Citations by year
- 2026: 11 · 2025: 24 · 2024: 28 · 2023: 17 · 2022: 10 · 2021: 9 · 2020: 6 · 2019: 17 · 2018: 7 · 2017: 2 · 2016: 2 · 2015: 3 · 2014: 3 · 2013: 2 · 2012: 1
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Technology and Culture (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Historical Studies and Socio-cultural Analysis
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Cybernetics and Technology in Society
- Social Sciences › Arts and Humanities › History › Philosophy, History, and Historiography
- Keywords
- technology and society, history of technology, technology and economy, technology and politics
- MeSH terms
- Technology, Writing
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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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.
