The impact of group attributes on communication activity and shared language in online communities
Bibliographic Data
| ID | 15114591 |
|---|---|
| Authors | David A Huffaker, David Huffaker (Northwestern University, corresponding author) |
| Year | 2011 |
| Publication date | 2011-03-28 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | First Monday (JOURNAL) |
| Journal identifiers | ISSN: 1396-0458 • E-ISSN: 1396-0466 |
| Publisher | University of Illinois Libraries (PUBLISHER) |
| DOI | 10.5210/fm.v16i4.3450 |
| OpenAlex | W1966187606 |
| Language | EN |
| Citations received | 1 |
This study examines how group size, network density, participation equality and member turnover are related to communication activity and shared language in online communities. It examines the social interactions of sixteen randomly selected discussion groups (33,450 participants and 632,622 messages) covering topics in politics, health, hobbies, and science and technology over a 20-month period. It relies on social network analysis, computational linguistics and hierarchical linear modeling to uncover the extent to which group attributes impact message replies, conversational thread length and shared word choices. The results show that group size and network density are positively related to communication activity and shared language, while participation equality and member turnover are not significant predictors
Computer-mediated communication · Multilevel model · Political science · Politics · The Internet · World Wide Web · Complex Network Analysis Techniques · Computer Science · Knowledge Management and Sharing · Psychology · Social Media and Politics · Social Psychology
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |