提高政府在社交媒体上发帖的互动性的特点

CS. Purwowidhu Widayanti, Irwansyah
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引用次数: 0

摘要

本研究详细阐述了社交媒体互动性的测量方法,并描述了可以加强政府在Facebook和Twitter账户上发帖的互动性的预测因素。对某政府公众号上的143条微博和313条推文进行了内容分析。结果显示,从Facebook和Twitter的内容特征来看,一个重要的交互性预测指标是帖子或tweet的主题。在Facebook和Twitter上,通常对互动的整体类型和广度产生积极影响的话题是公益广告。从Facebook的结构特征中预测交互性的一个重要因素是标签,而从Twitter的结构特征中预测交互性的一个重要因素是多媒体元素和外部链接。
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Features to Improve The Interactivity of Government’s Post on Social Media
This study elaborates measurements of interactivity on social media as well as describes the predictors that can strengthen the interactivity of government’s post on Facebook and Twitter account. A content analysis was conducted on 143 posts and 313 tweets over one of government’s official account. The result shows a significant predictor of interactivity from content features both on Facebook and Twitter is the topic of posts or tweets. The topic that generally has a positive influence on the overall type of interactivity and breadth of interactivity both on Facebook and Twitter is the topic of public service advertising. A significant predictor of interactivity from the structural features on Facebook is the hashtag while significant predictors of interactivity from structural features on Twitter are multimedia elements and external links.
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