互动性
心理学
意外事故
独创性
社会化媒体
社会心理学
危机沟通
权变理论
公共关系
政治学
知识管理
计算机科学
多媒体
万维网
语言学
哲学
创造力
作者
Yafei Zhang,Chuqing Dong,Yuan Cheng
出处
期刊:Internet Research
[Emerald (MCB UP)]
日期:2022-05-06
卷期号:33 (2): 550-577
被引量:4
标识
DOI:10.1108/intr-05-2021-0290
摘要
Purpose This study seeks to understand the communication factors associated with effective social media for nonprofit organizations (NPOs). Specifically, the study investigated how interactive and emotional communication strategies influence public engagement in different ways, and how the effects differ by service-oriented and other types of NPOs. Design/methodology/approach Using computer-assisted textual and emotional analyses, the authors examined the functional interactivity, contingency interactivity and emotion elements of 301,559 tweets from the 100 largest US nonprofits. Negative binomial regression was applied to test the relationships among these elements and public engagement on Twitter (i.e. likes and retweets ). Findings Findings revealed negative effects of functional interactivity on likes , negative effects of contingency interactivity on likes and retweets but a positive effect of functional interactivity on retweets . The findings also showed negative effects of emotion valence on likes and retweets but positive effects of emotion strength on likes and retweets . There were varying effects of interactivity and emotion on public engagement for service-oriented and other types of NPOs. Originality/value This study advances the nonprofit social media scholarship in several ways. First, this study suggests a clear yet largely ignored distinction in the effects of functional and contingency interactivity on public engagement. Second, this study is an early attempt to examine the role and impact of emotion elements in nonprofit social media success without downplaying the role of interactivity. Third, this study is one of the earliest attempts to include interaction effects for different types of NPOs. Last, this study contributes to the organizational social media use research by demonstrating the benefits of computer-assisted approaches in processing text data on social media. From a practical perspective, this study provides strategic guidelines for NPOs to design effective communication contents and improve their public engagement on social media.
科研通智能强力驱动
Strongly Powered by AbleSci AI