The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Online Personal Networks: Size, Composition and Media Use among Distance Learners
Abstract
Personal relationships are noted for intimacy, frequent interaction, the maintenance of multiple relations, face-to-face contact and a desire for proximity. What happens to such relationships when face-to-face contact is unavailable or severely limited? How do pairs maintain personal relationships at a distance and via computer-mediated communication, and what do their personal networks look like under these conditions? Social network data from four computer-supported distance learning classes are used to build a picture of the size and composition of students' personal online networks. Individuals reported on their communications regarding instrumental and social relations with others in their class, and on which media they used to maintain these relations. In keeping with social network studies, those who communicate more frequently maintain more relations and more socially supportive relations, and report more positively about their desire for future work and social interaction. Individuals benefit from closer ties by feeling a stronger belonging to the class and perceiving greater social interaction among class mates. Unique to the online multi-media environment, strongly tied pairs use more media to communicate and appropriate both the technology and occasions for interaction to maintain their ties. Interview data from members of the same program reveal that pairs with closer ties used computer media to create virtual proximity, whispering to each other via Internet Relay Chat during synchronous classes, and seeking out others via email late at night.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Search-Transfer Problem: The Role of Weak Ties in Sharing Knowledge across Organization Subunits
Hansen, M. T. (1999) · Administrative Science Quarterly · doi:10.2307/2667032 · Cited by 5,809
Marsden, P. V., & Campbell, K. E. (1984) · Social Forces · doi:10.1093/sf/63.2.482 · Cited by 1,731
Cited by
Social networks and Internet connectivity effects
Haythornthwaite, C. (2005) · Information, Communication & Society · doi:10.1080/13691180500146185 · Cited by 1,315
Self-citationStrong, Weak, and Latent Ties and the Impact of New Media
Haythornthwaite, C. (2002) · The Information Society · doi:10.1080/01972240290108195 · Cited by 747
Self-citationDo online social media cut through the constraints that limit the size of offline social networks?
Dunbar, R. I. M. (2016) · Royal Society Open Science · doi:10.1098/rsos.150292 · Cited by 404
From anxiety to assurance: concerns and outcomes of telework
Maruyama, T., & Tietze, S. (2012) · Personnel Review · doi:10.1108/00483481211229375 · Cited by 206
Chang, H. (2009) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21070 · Cited by 42
Metadata
- Authors
- HAYTHORNTHWAITE, C.
- Venue
- New Media & Society
- Publisher
- SAGE Publications
- Published
- 2000-06
- Volume
- 2
- Issue
- 2
- Pages
- 195-226
- ISSN
- 1461-4448 (ISSN-L)
- 1461-7315
- OpenAlex
- W2120237775
- Cited by
- 169
- References
- 2
- FWCI
- 35.16
- Type
- journal article
- Language
- en
- Open access
- closed
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Online Personal Networks: Size, Composition and Media Use among Distance Learners. https://app.cochat.ai/papers/10.1177/14614440022225779
- The paper
- HAYTHORNTHWAITE, C. (2000). Online Personal Networks: Size, Composition and Media Use among Distance Learners. New Media & Society. https://doi.org/10.1177/14614440022225779
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.