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.

摘要

计算社会科学方法可以更好地理解社会工作教育项目如何使用 Twitter。使用信息、社区和行动概念框架对 2,509 条推文进行数据挖掘和情感分析。节目以信息主题相关的推文内容为主，推文的语气以正面为主。还提供了诸如关注者数量、推文数量、使用的标签类型 (#) 以及一天中何时共享推文等统计数据，以说明程序如何使用 Twitter。还开发了一个综合评分来突出 Twitter 上排名前 10 的社会工作项目。给出了对社会工作教育的启示以及对制定社交媒体战略的计划的建议。