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Cited by 384

The DOI matches its Crossref record; 163 of the 163 references it cites were found in a registry or an index.

Internet use and well-being: A survey and a theoretical framework

Open access
Castellacci, Fulvio, Tveito, Vegard·2018·Research Policy
DOI 10.1016/j.respol.2017.11.007
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Abstract

How does Internet use affect well-being? This paper presents a survey of the literature investigating this question, and it develops a framework to analyze both positive effects and potential risks. We point out four distinct channels through which Internet can shape well-being: it changes time use patterns, creates new activities, facilitates access to information, and acts as powerful communication tool. We show how these four channels impact well-being in distinct domains of life. A central point emerging from the literature review is that the effects of Internet on well-being are mediated by a set of personal characteristics that are specific to each individual: psychological functioning, capabilities, and framing conditions (culture and beliefs). Hence, it is the interaction between human beings’ activities in distinct domains of life and their own personal characteristics that explains why the use of Internet has stronger positive effects for some individuals and social groups than others.

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Metadata

Authors
Castellacci, F., & Tveito, V.
Venue
Research Policy
Publisher
Elsevier BV
Published
2018-02
Volume
47
Issue
1
Pages
308-325
ISSN
0048-7333 (ISSN-L)
DOI
10.1016/j.respol.2017.11.007
OpenAlex
W2768656387
Cited by
384
References
163
FWCI
101.42
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Internet use and well-being: A survey and a theoretical framework. https://app.cochat.ai/papers/10.1016/j.respol.2017.11.007
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Castellacci, F., & Tveito, V. (2018). Internet use and well-being: A survey and a theoretical framework. Research Policy. https://doi.org/10.1016/j.respol.2017.11.007

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.