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Hospital Tweets on H1N1 and Death Panels: Text Mining the Situational Crisis Communication Response to Health Crises and Controversies
KOME ( IF 0.6 ) Pub Date : 2018-01-01 , DOI: 10.17646/kome.2018.13
Aimee Kendall Roundtree

This thematic and text mining analysis interrogates hospital tweets about H1N1 flu and healthcare reform in 2009 using the situational crisis communication theory (SCCT) and manufactured controversies, or casting doubt on scientific and medical consensus to delay or thwart public policy. Hospitals minimally responded to both issues and situated themselves as neutral, ambivalent agents separate from the government and skeptics. Tweets that recycled links to news sources inherited limitations that plagued media coverage in their incapacity for quick response. To handle controversies, an adapted SCCT might require more direct and dialogic strategies, as well as defensive and offensive tactics, such as increasing hosted events, outreach, and statements of expert opinion.

中文翻译:

H1N1和死亡专家组上的医院推文:文本挖掘情境危机对健康危机和争议的回应

这项主题和文本挖掘分析使用情境危机沟通理论(SCCT)和制造的争议,询问了医院在2009年有关H1N1流感和医疗保健改革的推文,或者对科学和医学共识产生怀疑,以延迟或挫败公共政策。医院对这两个问题的回应都很微不足道,并且处于与政府和怀疑论者分离的中立,矛盾的行为主体的位置。回收指向新闻源链接的推文继承了局限性,这些局限性困扰了媒体报道,使他们无法迅速做出反应。为了处理争议,经过改编的SCCT可能需要更直接和对话的策略,以及防御和进攻策略,例如增加托管事件,外展活动和专家意见的表达。
更新日期:2018-01-01
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