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推特上的计划生育协会:对2015 - 2016年推特上计划生育协会争议事件的分析

Tweeting PP: an analysis of the 2015-2016 Planned Parenthood controversy on Twitter.

作者信息

Han Leo, Han Lisa, Darney Blair, Rodriguez Maria I

机构信息

Oregon Health & Science University, Department of Obstetrics and Gynecology, Portland, OR.

University of California, Santa Barbara, Department of Film and Media Studies, Santa Barbara, CA.

出版信息

Contraception. 2017 Dec;96(6):388-394. doi: 10.1016/j.contraception.2017.08.011. Epub 2017 Sep 1.

Abstract

OBJECTIVES

We analyzed Twitter tweets and Twitter-provided user data to give geographical, temporal and content insight into the use of social media in the Planned Parenthood video controversy.

METHODOLOGY

We randomly sampled the full Twitter repository (also known as the Firehose) (n=30,000) for tweets containing the phrase "planned parenthood" as well as group-defining hashtags "#defundpp" and "#standwithpp." We used demographic content provided by the user and word analysis to generate charts, maps and timeline visualizations. Chi-square and t tests were used to compare differences in content, statistical references and dissemination strategies.

RESULTS

From July 14, 2015, to January 30, 2016, 1,364,131 and 795,791 tweets contained "#defundpp" and "#standwithpp," respectively. Geographically, #defundpp and #standwithpp were disproportionally distributed to the US South and West, respectively. Word analysis found that early tweets predominantly used "sensational" words and that the proportion of "political" and "call to action" words increased over time. Scatterplots revealed that #standwithpp tweets were clustered and episodic compared to #defundpp. #standwithpp users were more likely to be female [odds ratio (OR) 2.2, confidence interval (CI) 2.0-2.4] and have fewer followers (median 544 vs. 1578, p<.0001). #standwithpp and #defundpp did not differ significantly in their usage of data in tweets. #defundpp users were more likely to link to websites (OR 1.8, CI 1.7-1.9) and to other online dialogs (mean 3.3 vs. 2.0 p<.0001).

CONCLUSION

Social media analysis can be used to characterize and understand the content, tempo and location of abortion-related messages in today's public spheres. Further research may inform proabortion efforts in terms of how information can be more effectively conveyed to the public.

IMPLICATIONS

This study has implications for how the medical community interfaces with the public with regards to abortion. It highlights how social media are actively exploited instruments for information and message dissemination. Researchers, providers and advocates should be monitoring social media and addressing the public through these modern channels.

摘要

目的

我们分析了推特推文及推特提供的用户数据,以深入了解计划生育视频争议中社交媒体使用情况的地理、时间和内容特征。

方法

我们从完整的推特库(也称为“消防水龙带”)中随机抽样30000条推文,这些推文包含短语“计划生育”以及群组定义标签“#停止资助计划生育”和“#支持计划生育”。我们利用用户提供的人口统计内容和词汇分析来生成图表、地图和时间线可视化。使用卡方检验和t检验来比较内容、统计参考和传播策略方面的差异。

结果

2015年7月14日至2016年1月30日期间,分别有1364131条和795791条推文包含“#停止资助计划生育”和“#支持计划生育”。在地理上,“#停止资助计划生育”和“#支持计划生育”分别在美国南部和西部分布不均。词汇分析发现,早期推文主要使用“耸人听闻”的词汇,且“政治”和“行动呼吁”词汇的比例随时间增加。散点图显示,与“#停止资助计划生育”相比,“#支持计划生育”推文呈聚类且具有阶段性。“#支持计划生育”的用户更可能为女性(优势比[OR]2.2,置信区间[CI]2.0 - 2.4)且粉丝较少(中位数分别为544和1578,p <.0001)。“#支持计划生育”和“#停止资助计划生育”在推文中的数据使用方面无显著差异。“#停止资助计划生育”的用户更可能链接到网站(OR 1.8,CI 1.7 - 1.9)以及其他在线对话(均值分别为3.3和2.0,p <.0001)。

结论

社交媒体分析可用于刻画和理解当今公共领域中与堕胎相关信息的内容、节奏和位置。进一步的研究可能为支持堕胎的工作提供信息,说明如何能更有效地向公众传达信息。

启示

本研究对医学界在堕胎问题上如何与公众互动具有启示意义。它凸显了社交媒体是如何被积极用作信息和消息传播工具的。研究人员、提供者和倡导者应监测社交媒体并通过这些现代渠道与公众交流。

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Abortion Surveillance - United States, 2012.人工流产监测-美国,2012 年。
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Abortion-Related Mortality in the United States: 1998-2010.美国1998 - 2010年与堕胎相关的死亡率
Obstet Gynecol. 2015 Aug;126(2):258-265. doi: 10.1097/AOG.0000000000000945.
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Finding the Twitter users who stood with Wendy.找出支持温迪的推特用户。
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