Stigma's Effect on Social Interaction and Social Media Activity
Stigma's Effect on Social Interaction and Social Media Activity
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DOI：
10.1080/10810730.2015.1018604
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发表时间：
2015-11-02
影响因子：
4.4
通讯作者：
Southwell, Brian G.
中科院分区：
文献类型：
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作者：
Boudewyns, Vanessa;Himelboim, Itai;Southwell, Brian G.
艾滋病毒/性传播疾病等被污名化的话题可能会限制相关信息的共享，这种方式在互联网内外的社会互动中应该是显而易见的。具体来说，作者预测，越多的人认为一个问题被污名化，他们就越不可能私下（与性伴侣和同龄人）和公开（在Twitter上）谈论这个问题。研究1测试了耻辱对个人层面对话的影响：作者询问了一组参与者（N=138）关于性病检测耻辱感，与性伴侣的互动以及与同龄人关于性病检测的对话。研究2评估了健康状况总体上是否不太可能产生社交媒体活动作为当前污名化的函数。使用259，758个提到13种医疗条件的存档Twitter帖子，作者测试了耻辱程度是否预测了相关社交媒体对话的数量，从用户的角度控制了每种条件的倡导量和谷歌搜索流行度。研究结果支持了我们的假设。那些报告说以更耻辱的方式感知特定健康状况的人也报告说与他人就该主题进行的互动较少; Twitter结果显示了类似的模式。结果还表明，由于美国国立卫生研究院（即，与所检查的健康状况相关联的每种状况的宣传量）也预测了Twitter活动。总的来说，这些结果表明，耻辱感对面对面和Twitter互动有类似的抑制作用。研究结果具有理论和实践意义，并进行了讨论。
Stigmatized topics, such as HIV/STD, likely constrain related information sharing in ways that should be apparent in social interactions both on and off the Internet. Specifically, the authors predicted that the more people perceive an issue as stigmatized, the less likely they are to talk about the issue both privately (with sexual partners and peers) and publicly (on Twitter). Study 1 tested the effect of stigma on conversations at the individual level: The authors asked a group of participants (N=138) about perceived STD-testing stigma, interactions with a sexual partner, and conversations with peers about STD testing. Study 2 assessed whether health conditions, in the aggregate, were less likely to generate social media activity as a function of current stigmatization. Using 259,758 archived Twitter posts mentioning 13 medical conditions, the authors tested whether level of stigma predicted the volume of relevant social media conversation, controlling for each condition's amount of advocacy and Google search popularity from a user's perspective. Findings supported our hypotheses. Individuals who reported perceiving a given health conditions in more stigmatic ways also reported interacting less with others about that topic; Twitter results showed a similar pattern. Results also suggest a more complex story of influence, as funding from the National Institutes of Health (i.e., each conditions amount of advocacy) associated with the examined health conditions also predicted Twitter activity. Overall, these results indicated that stigma had a similar, dampening effect on face-to-face and Twitter interactions. Findings hold theoretical and practical implications, which are discussed.