Diffusion of Innovations 1

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Rogers, Everett M., Singhal, Arvind, Quinlan, Margaret M.·2019·An Integrated Approach to Communication Theory and Research

DOI 10.4324/9780203710753-35

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Abstract

This chapter presents a theoretical and methodological approach to the study of communication and its effects through the diffusion of innovation from a communication approach. It demonstrates through the history of diffusion research how diffusion of innovations occurs and how it impacts communication outcomes. Based on rural sociology of the 1930s and 1940s, the impact of communication platforms and an “inside out” approach are introduced as ways to test and evaluate communication change through message and source strategies.

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Allen, D. (1983). New Telecommunication Services: Network Externalities and Critical Mass. Telecommunications Policy , 12 , pp. 257–271.

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Castro, M., Sánchez, L., Pérez, D., Carbonell, N., Lefèvre, P., Vanlerberghe, V., & Van der Stuyft, P. (2012) · Transactions of the Royal Society of Tropical Medicine and Hygiene · doi:10.1016/j.trstmh.2012.01.013 · Cited by 70
Patient characteristics associated with objective measures of digital health tool use in the United States: a literature review
Nouri, S. S., Adler-Milstein, J., Thao, C., Acharya, P., Barr-Walker, J., Sarkar, U., & Lyles, C. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa024 · Cited by 70

Authors: Rogers, E. M., Singhal, A., & Quinlan, M. M.
Venue: An Integrated Approach to Communication Theory and Research
Publisher: Routledge
Published: 2019-03-14
Pages: 415-434
DOI: 10.4324/9780203710753-35
OpenAlex: W1990513740
Cited by: 37,322
References: 0
FWCI: 1852.64
Type: book chapter
Language: en
Open access: green

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.

Diffusion of Innovations 1

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Self-check

Citations

Cites

Cited by

Metadata

Record

About these checks

Data sources