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'I Have AIDS': Content analysis of postings in HIV/AIDS support group on a Chinese microblog

机译:“我有艾滋病”:中国微博上艾滋病支持小组的帖子内容分析

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摘要

With the widespread growth and adoption of new technologies, online platforms such as social network sites (SNSs) have become a channel for health information. Online groups have been set up for communication and interaction, among which many are for people with chronic illnesses, including people with HIV/AIDS (PHA). In the study of online communication behavior, the Social Information Processing Theory (SIPT) predicted people will develop deeper interpersonal relationships in online groups over time (Walther, 1996). However, the author argued that CMC content should be examined more closely to get a dynamic picture of how people interaction and how groups develop over time. Thus this paper attempted to refine SIPT by enriching the framework with detailed components, and used directed content analysis to categorize messages posted on the PHA Support Group on Sina Weibo, a China-based microblog. The results showed that the percentage of socio-emotional messages saw an increase of almost 1/3 over time, taking over informational messages as the major content in all online postings. Medical related informational messages surpassed non-medical related informational messages as time went by. Intimacy relationship messages saw drastic increase in the two time periods. This study refined SIPT by providing increased granularity of its categorization scheme to examine group communication more closely.
机译:随着新技术的广泛增长和采用,诸如社交网站(SNS)等在线平台已成为获取健康信息的渠道。已经建立了在线小组进行交流和互动,其中许多小组是针对慢性病患者,包括艾滋病毒/艾滋病患者。在对在线交流行为的研究中,社会信息处理理论(SIPT)预测人们会随着时间的推移在在线群体中发展更深的人际关系(Walther,1996)。但是,作者认为,应该更仔细地检查CMC内容,以动态了解人们如何互动以及随着时间的推移群体如何发展。因此,本文试图通过丰富具有详细组件的框架来完善SIPT,并使用定向内容分析对在中国微博新浪微博上的PHA支持小组上发布的消息进行分类。结果表明,随着时间的流逝,社会情感信息的百分比几乎增加了1/3,而信息性信息则成为所有在线帖子的主要内容。随着时间的流逝,与医学有关的信息性消息超过了与非医学有关的信息性消息。亲密关系消息在两个时间段内急剧增加。这项研究通过增加其分类方案的粒度来完善SIPT,以更紧密地检查群体沟通。

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