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

Autor/in	Young, Jimmy A.
Titel	#SocialWorkEducation: A Computational Analysis of Social Work Programs on Twitter
Quelle	In: Journal of Social Work Education, 58 (2022) 2, S.215-226 (12 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Young, Jimmy A.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1043-7797
DOI	10.1080/10437797.2020.1817821
Schlagwörter	Social Work; College Programs; Computer Mediated Communication; Social Networks; Electronic Publishing; Web Sites; Telecommunications; Social Media + Suchen Sie Ihr Suchwort? Soziale Arbeit; Studienprogramm; Computerkonferenz; Social network; Soziales Netzwerk; Elektronisches Publizieren; Web-Design; Telekommunikationstechnik; Soziale Medien
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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01