Margaret E. Roberts

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We offer the first large scale, multiple source analysis of the outcome of what may be the most extensive effort to selectively censor human expression ever implemented. To do this, we have devised a system to locate, download, and analyze the content of millions of social media posts originating from nearly 1,400 different social media services all over(More)
Despite broad use of surveys and survey experiments within political science, the vast majority of survey analysis deals with responses to options along a scale or from preestablished categories. Yet, in most areas of life individuals communicate either by writing or by speaking, a fact reflected in earlier debates about open and closed-ended survey(More)
We develop the Structural Topic Model which provides a general way to incorporate corpus structure or document metadata into the standard topic model. Document-level covariates enter the model through a simple generalized linear model framework in the prior distributions controlling either topical prevalence or topical content. We demonstrate the model’s(More)
Recent advances in research tools for the systematic analysis of textual data are enabling exciting new research throughout the social sciences. For comparative politics, scholars who are often interested in nonEnglish and possibly multilingual textual datasets, these advances may be difficult to access. This article discusses practical issues that arise in(More)
22 AUGUST 2014 • VOL 345 ISSUE 6199 891 SCIENCE INTRODUCTION: Censorship has a long history in China, extending from the efforts of Emperor Qin to burn Confucian texts in the third century B.C.E. to the control of traditional broadcast media under Communist Party rule. However, with the rise of the Internet and new media platforms, more than(More)
The (unheralded) first step in many applications of automated text analysis involves selecting keywords to choose documents from a large text corpus for further study. Although all substantive results depend crucially on this choice, researchers typically pick keywords in ad hoc ways, given the lack of formal statistical methods to help. Paradoxically, this(More)
Existing research on the extensive Chinese censorship organization uses observational methods with well-known limitations. We conducted the first large-scale experimental study of censorship by creating accounts on numerous social media sites, randomly submitting different texts, and observing from a worldwide network of computers which texts were censored(More)
Statistical models of text have become increasingly popular in statistics and computer science as a method of exploring large document collections. Social scientists often want to move beyond exploration, to measurement and experimentation, and make inference about social and political processes that drive discourse and content. In this paper, we develop a(More)
BACKGROUND AcroQol is a disease-generated questionnaire, developed to assess quality of life (QOL) in patients with acromegaly. We have previously demonstrated severely impaired QOL in patients with acromegaly and the value of AcroQol in measuring QOL in a cross-sectional study compared with the non-disease-specific generic tools 'Psychological general(More)