Social work and technology
Text mining three decades of scholarly literature (1985–2018)
Bibliographic Data
| ID | 21721740 |
|---|---|
| Authors | Gaurav R Sinha (0000-0001-8166-0905, University of Illinois at Urbana-Champaign, Urbana, USA, corresponding author), Christopher R Larrison (0000-0002-2380-0882, University of Illinois at Urbana-Champaign, Urbana, USA) |
| Year | 2021 |
| Volume | 21 |
| Issue | 4 |
| Pages | 891-912 |
| Publication date | 2021-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Social Work (JOURNAL) |
| Journal identifiers | ISSN: 1468-0173 • E-ISSN: 1741-296X |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/1468017320948333 |
| OpenAlex | W3049762273 |
| Language | EN |
| Citations received | 5 |
| References cited | 13 |
While the scholarly literature is abound with discussions of technology and its proliferation in different social work domains, evidence about what types of technologies are being used in various social work practice domains remains limited. The present study aimed to identify the larger trends in how technology has permeated the profession. The study sample comprised of 892 articles from a journal known for its contribution in publishing research on technology use in human services. Two methods were used—topic modeling and human-assisted analyses. Topic modeling was performed using MALLET, a machine learning tool which employs latent Dirichlet allocation over a fixed vocabulary for the corpus of text. Human-assisted analyses were performed using QDA Miner and MS-Excel to assist in the manual analyses. Findings In all, 29 topics in social work and 27 topics in technology domains were obtained. Social work education and mental health and clinical social work appeared as two of the top five social work domains in both topic modeling and human-assisted analyses. Management information system, communication technology, generic technology usage, and education technology were the top common topics in both types of analyses. Applications The present study findings have two applications. First, the descriptive analysis of technology adoption across diverse social work areas of research provides the first concrete evidence of how technology has been spread throughout social work. Second, the patterns of technology adoption across social work practice fields indicate some fields have limited research regarding technology
Data science · Knowledge management · Latent Dirichlet allocation · Political science · Publishing · Social media · Social science · Sociology · Topic model · World Wide Web · Computer Science · Digital Mental Health Interventions · Engineering · Focus Groups and Qualitative Methods · Social Work Education and Practice · Social Work · Artificial Intelligence
The intersection of technology and mental health literacy in social work curriculum
Integrating case management technologies in local care networks
Social Workers’ Acceptance of Information and Communication Technology (ICT) in Practice during Covid-19
Problematising Artificial Intelligence in Social Work Education
Developing a user typology of adopting innovative technologies in social work
| Citations per year | 1.25 |
|---|---|
| Citation span | 2022 - 2026 (5) |
| Highly cited | No |