Detecting Media Self-Censorship without Explicit Training Data
Detecting Media Self-Censorship without Explicit Training Data
复制标题
在没有显式训练数据的情况下检测媒体自我审查
DOI：
10.1137/1.9781611976236.62
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Kennedy, Ryan
中科院分区：
文献类型：
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作者：
Tao, Rongrong;Zhou, Baojian;Chen, Feng;Mares, Dvid;Butler, Patrick;Ramakrishnan, Naren;Kennedy, Ryan
无论是在数量上还是在质量上，明确的国家审查的动机和手段都得到了充分的研究。然而，媒体的自我审查并没有受到如此多的关注，主要是因为它很难被系统地检测出来。我们开发了一种新的方法，通过使用社交媒体作为传感器来识别新闻媒体的自我审查。我们开发了一个假设测试框架来识别和评估被审查的关键字集群，并开发了一个近线性时间算法(称为GraphDPD)来识别得分最高的集群作为审查指标。我们使用墨西哥和委内瑞拉2014年的半合成和真实世界数据，与其他最先进的算法相比，评估了我们框架的准确性。这些测试展示了我们框架识别自我审查的能力，并提供了一个更广泛的媒体自由的指标。本研究的结果为自我审查的检测、研究和政策反应奠定了基础。
The motives and means of explicit state censorship have been well studied, both quantitatively and qualitatively. Self-censorship by media outlets, however, has not received nearly as much attention, mostly because it is difficult to systematically detect. We develop a novel approach to identify news media self-censorship by using social media as a sensor. We develop a hypothesis testing framework to identify and evaluate censored clusters of keywords and a near-linear-time algorithm (called GraphDPD) to identify the highest scoring clusters as indicators of censorship. We evaluate the accuracy of our framework, versus other state-of-the-art algorithms, using both semi-synthetic and real-world data from Mexico and Venezuela during Year 2014. These tests demonstrate the capacity of our framework to identify self-censorship, and provide an indicator of broader media freedom. The results of this study lay the foundation for detection, study, and policy-response to self-censorship.
政治动荡时期的社交媒体审查——英国骚乱的社会模拟实验
DOI：
10.1177/0759106312445697
发表时间：
2012
期刊：
Bulletin de Méthodologie Sociologique
影响因子：
--
作者：
Antonio A. Casilli;Paola Tubaro
通讯作者：
Paola Tubaro
已知的未知数：土耳其 Twitter 审查制度分析
DOI：
10.1145/2808138.2808147
发表时间：
2015
期刊：
Proceedings of the 14th ACM Workshop on Privacy in the Electronic Society
影响因子：
--
作者：
Rima S. Tanash;Zhouhan Chen;Tanmay Thakur;D. Wallach;D. Subramanian
通讯作者：
D. Subramanian