Are citizens engaging with government social media Covid 19 pandemic information? Why media richness and dialogic loop features matter

IF 1.1 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY
Chen Mie L. Amores, Mikaela Golden L. Bael, Rean Joy D. Escabarte, Enrique B. Batara, Hazel D. Jovita-Olvez, Queenie Pearl V. Tomaro
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Abstract

This study investigated the extent to which media richness, dialogic loop, and content type affect citizen engagement with local government social media information on the Covid-19 pandemic. Quantitative content analysis through scraping of Facebook posts by the local government was employed in this study. Effects of the determinant variables was tested using negative binomial regression. Results show that both media richness and dialogic loop have significant and positive effects on citizens' engagement. This means that the richer the media, and the more dialogic features present in a Facebook post, the higher the turnout of reactions, shares, and comments of such post. Content type, on the other hand, was found to have no significant effect, implying that the number of content categories a certain post belongs to does not influence engagement from citizens. The study focused only on the local government's pandemic information posted on Facebook. Local governments should continue utilizing social media in disseminating pandemic information, and in the process, consider maximum utilization of the social media features to generate more engagement from its citizens. This study is the first to determine the factors affecting citizen engagement with government social media during the Covid-19 pandemic in the Philippine context.

公民是否在参与政府社交媒体新冠肺炎疫情信息?为什么媒体丰富性和对话循环特征很重要
本研究调查了媒体的丰富性、对话循环和内容类型在多大程度上影响公民参与新冠肺炎大流行的地方政府社交媒体信息。本研究采用了当地政府通过抓取Facebook帖子进行定量内容分析的方法。使用负二项回归检验决定变量的影响。研究结果表明,媒体的丰富性和对话循环对公民的参与都有显著而积极的影响。这意味着,媒体越丰富,脸书帖子中的对话功能越多,这类帖子的反应、分享和评论率就越高。另一方面,内容类型没有显著影响,这意味着某个帖子所属内容类别的数量不会影响公民的参与度。这项研究只关注当地政府在脸书上发布的疫情信息。地方政府应继续利用社交媒体传播疫情信息,在此过程中,考虑最大限度地利用社交媒体功能,让公民更多参与。这项研究首次确定了在菲律宾新冠肺炎大流行期间影响公民参与政府社交媒体的因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.60
自引率
15.40%
发文量
51
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