An-Shou Cheng

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This paper describes the development of a scalable process for people and machines working together to identify sections of text that reflect specific human values. A total of 2,005 sentences from 28 prepared testimonies presented before hearings on Net neutrality were manually annotated for one or more of ten human values using an annotation frame based on(More)
Net neutrality is an important telecommunications policy debate. This debate is closely tied to technological innovation, economic development, and information access. Values help shape stakeholders’ positions on this debate. This paper examines the role of values in shaping the Net neutrality debate through a content analysis of public hearings on Net(More)
Net neutrality is the focus of an important policy debate that is tied to technological innovation, economic development, and information access. We examine the role of human values in shaping the Net neutrality debate through a content analysis of testimonies from U.S. Senate and FCC hearings on Net neutrality. The analysis is based on a coding scheme that(More)
This paper describes an effort to improve identification of human values that are directly or indirectly invoked within the prepared statements of witnesses before legislative and regulatory hearings. We automatically code human values at the sentence level using supervised machine learning techniques trained on a few thousand annotated sentences. To(More)
This paper describes a probabilistic latent variable model that is designed to detect human values such as <i>justice</i> or <i>freedom</i> that a writer has sought to reflect or appeal to when participating in a public debate. The proposed model treats the words in a sentence as having been chosen based on specific values; values reflected by each sentence(More)
This paper describes an initial analysis of the association of specific vocabulary choices with the invocation of human values in testimonies prepared for public hearings about Net neutrality in the United States. Motivation for this work comes from an interest in understanding what people value and how they express those values in writing. Related work(More)
This paper studies a method for identifying word unigrams and word big rams that are associated with one or more human values such as freedom or innovation. The key idea is to deterministically associate values with word choices, thus permitting values reflected by sentences to be assigned using dictionary lookup. This approach works nearly as well on(More)
How can we explain and predict differences in sentiment among different groups of people? Automatic techniques can determine sentiment polarity by labeling an author’s text as expressing positive, negative, or neutral opinion, but such approaches ignore motivations behind the sentiment. Human values are what determine an individual’s priorities, and, as(More)
In this paper, we explore the potential for reducing human effort when coding text segments for use in content analysis. The key idea is to do some coding by hand, to use the results of that initial effort as training data, and then to code the remainder of the content automatically. The test collection includes 102 written prepared statements about Net(More)
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