Online Work Force Analyzes Social Media to Identify Consequences of an Unplanned School Closure - Using Technology to Prepare for the Next Pandemic.
Online Work Force Analyzes Social Media to Identify Consequences of an Unplanned School Closure - Using Technology to Prepare for the Next Pandemic.
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DOI：
10.1371/journal.pone.0163207
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发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
O'Sullivan M
中科院分区：
文献类型：
--
作者：
Rainey JJ;Kenney J;Wilburn B;Putman A;Zheteyeva Y;O'Sullivan M
在流感大流行期间，美国疾病控制和预防中心(CDC)可能会建议学校关闭。这些关闭可能会给学生及其家庭带来意想不到的后果。可以分析可公开获得的社交媒体，以确定学校意外关闭的后果。由于2012年9月10日至18日伊利诺伊州芝加哥的教师罢工，我们使用了全区范围的学校停课作为计划外、与流行病相关的学校停课的代理。我们使用Radian6社交媒体监控平台捕捉了有关学校关闭的社交媒体帖子。亚马逊土耳其机械公司的一名在线工作人员将每一篇帖子分为两组。第一组包括描述关闭对学生及其家庭的影响的相关帖子。第二组包括描述罢工的政治方面或与学校关闭无关的话题的无关帖子。所有相关帖子都被进一步归类为表达积极、负面或中性情绪。我们分析了随着时间的推移相关帖子和情绪的模式，并将我们的发现与其他计划外学校关闭后进行的家庭调查进行了比较。使用我们的搜索标准，我们捕获了4546条关于全区学校关闭的社交媒体帖子。其中，930人(20%)被网上工作人员归类为相关人员。在相关帖子中，619人(67%)表示负面情绪，51人(5%)表示积极情绪，260人(28%)表示中立。相关帖子的数量，特别是那些负面情绪的帖子，在罢工的第一天达到了顶峰。负面情绪表达了对儿童保育、错过学校午餐以及学生缺乏上课时间的担忧。这与以前进行的住户调查的结果一致。社交媒体是公开的，可以随时提供有关计划外学校关闭对学生及其家庭的影响的信息。使用社交媒体评估因公共卫生事件而计划外关闭学校的影响将是信息量很大的。在线工作人员可以有效地协助审查过程。
During an influenza pandemic, the United States Centers for Disease Control and Prevention (CDC) may recommend school closures. These closures could have unintended consequences for students and their families. Publicly available social media could be analyzed to identify the consequences of an unplanned school closure. As a proxy for an unplanned, pandemic-related school closure, we used the district-wide school closure due to the September 10–18, 2012 teachers’ strike in Chicago, Illinois. We captured social media posts about the school closure using the Radian6 social media-monitoring platform. An online workforce from Amazon Mechanical Turk categorized each post into one of two groups. The first group included relevant posts that described the impact of the closure on students and their families. The second group included irrelevant posts that described the political aspects of the strike or topics unrelated to the school closure. All relevant posts were further categorized as expressing a positive, negative, or neutral sentiment. We analyzed patterns of relevant posts and sentiment over time and compared our findings to household surveys conducted after other unplanned school closures. We captured 4,546 social media posts about the district-wide school closure using our search criteria. Of these, 930 (20%) were categorized as relevant by the online workforce. Of the relevant posts, 619 (67%) expressed a negative sentiment, 51 (5%) expressed a positive sentiment, and 260 (28%) were neutral. The number of relevant posts, and especially those with a negative sentiment, peaked on day 1 of the strike. Negative sentiment expressed concerns about childcare, missed school lunches, and the lack of class time for students. This was consistent with findings from previously conducted household surveys. Social media are publicly available and can readily provide information on the impact of an unplanned school closure on students and their families. Using social media to assess the impact of an unplanned school closure due to a public health event would be informative. An online workforce can effectively assist with the review process.
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影响因子：
4.2
作者：
Russell ES;Zheteyeva Y;Gao H;Shi J;Rainey JJ;Thoroughman D;Uzicanin A
通讯作者：
Uzicanin A
DOI：
10.1056/nejmp1307752
发表时间：
2013-08-01
期刊：
The New England journal of medicine
影响因子：
--
作者：
Salathé M;Freifeld CC;Mekaru SR;Tomasulo AF;Brownstein JS
通讯作者：
Brownstein JS
影响因子：
3.7
作者：
Miller, Joel C.;Danon, Leon;Lipsitch, Marc
通讯作者：
Lipsitch, Marc
DOI：
10.1056/nejmp0900702
发表时间：
2009-05-21
期刊：
The New England journal of medicine
影响因子：
--
作者：
Brownstein JS;Freifeld CC;Madoff LC
通讯作者：
Madoff LC
影响因子：
4.2
作者：
Freifeld, Clark C.;Brownstein, John S.;Menone, Christopher M.;Bao, Wenjie;Filice, Ross;Kass-Hout, Taha;Dasgupta, Nabarun
通讯作者：
Dasgupta, Nabarun