494
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

#SocialWorkEducation: A Computational Analysis of Social Work Programs on Twitter

Pages 215-226 | Accepted 06 Jan 2020, Published online: 02 Oct 2020
 

ABSTRACT

Computational social science methods provide a better understanding of how social work education programs use Twitter. Data mining and sentiment analysis of 2,509 tweets were conducted using the Information, Community, and Action conceptual framework. Programs primarily tweet content related to the theme of Information and the tone of the tweets are mainly positive. Statistics such as the number of followers, number of tweets, types of hashtags (#) used, and when tweets are shared during the day are also provided to illustrate how programs use Twitter. A composite score was also developed to highlight the top 10 social work programs on Twitter. Implications for social work education are given along with suggestions for programs in developing a social media strategy.

Disclosure statement

No potential conflict of interest was reported by the author.

Additional information

Notes on contributors

Jimmy A. Young

Dr. Jimmy A. Young is an associate professor in the Department of Social Work at Cal State San Marcos.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.