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Expressions of Social Presence in Agricultural Conversations on Twitter: Implications for Agricultural Communications

机译:Twitter上农业对话中社会存在的表达:对农业传播的启示

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Computer-mediated environments such as social media create new social climates that impact communication interactions in un-mediated environments. As computer-mediated communication (CMC) stimulates more social communities, many communication behaviors will evolve and adapt to the unique social environment created by CMC. This study examined social variables during two different synchronous conversations on Twitter through a qualitative document analysis that coded messages into affective, interactive, and cohesive categories. Categories were determined by indicators within each message such as emoticons, direct responses, and the use of individuals’ names. The researcher concluded that most social variables in the Twitter conversations fit into the interactive social presence category but that affective and cohesive responses supported personal connection and structure within the conversations. It was also found that the same category of responses could function differently in each conversation. However, both conversations in this study appeared to be successful. Therefore, agricultural communicators should feel comfortable using CMC that contains social presence dimensions to circulate agricultural information among populations across the globe. Additional research should be conducted to examine social presence among new topics, populations, and other forms of CMC.
机译:诸如社交媒体之类的计算机介导环境创造了新的社交氛围,从而影响了非介导环境中的交流互动。随着计算机介导的交流(CMC)刺激了更多的社会社区,许多交流行为将会演变并适应CMC创造的独特社会环境。这项研究通过定性文档分析对Twitter上两个不同的同步对话中的社会变量进行了分析,该分析将消息编码为情感,交互和内聚的类别。类别由每个消息中的指示符确定,例如表情符号,直接回复和个人姓名的使用。研究人员得出的结论是,Twitter对话中的大多数社交变量都属于交互式社交状态类别,但情感和内聚的响应支持对话中的个人联系和结构。还发现,同一类别的响应在每个对话中的功能可能有所不同。但是,这项研究中的两种对话似乎都是成功的。因此,农业传播者应该使用包含社会存在维度的CMC在全球人口中传播农业信息时感到自在。应该进行其他研究,以研究新话题,人群和其他形式的CMC之间的社会存在。

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