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I Heart Arabic : online "working procrastination" resources for Arabic language learners
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Characterizing the relationship in social media between language and perspective on science-based reasoning as justification for belief
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Abstract:
text ; Beliefs that are not the result of science-based interpretation of evidence (e.g., belief in ghosts or belief that prayer is effective) are extremely common. Science enthusiasts have expressed interest in automatic detection of non-science-based claims. This thesis intends to provide some first steps toward a solution, specifically aimed at detecting Twitter users who are likely or unlikely to take a science-based perspective on all topics. As part of this thesis, a set a Twitter users was labeled as being either "pro-science" (i.e. as having the view that beliefs are rational if and only if they are in accord with science-based reasoning) or "non-pro-science" (i.e. as having the view that beliefs may be reasonable even if they are not in accord with science-based reasoning). Word frequency ratios relative to a neutral dataset, and a simple topic alignment technique, suggest considerable linguistic divergence between the pro-science and non-pro-science users. High accuracy logistic regression classification using linguistic features of users' recent tweets support that idea. Supervised classification experiments suggest that the pro-science and non-pro-science perspectives are not only detectable from linguistic features, but that they can be abstracted away from particular topics (i.e. that the pro-science and non-pro-science perspectives are not inherently topic-specific). Results from distantly supervised classification suggest that using easily acquired, weakly labeled data may be preferable to the much slower process of individually labeling data for some applications, despite the pronounced inferiority to the fully supervised approach in terms of accuracy. The best classifier obtained in this thesis has an accuracy of 93.9%. ; Linguistics
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Keyword:
Perspective; Perspective classification; Social media; Twitter
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URL: http://hdl.handle.net/2152/26188
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eCute! : the evolution and impact of cute culture on social media ; Ke ai wen hua de yan jin yu shu wei chuan bo de jiao hu ying xiang ; 可愛文化的演進與數位傳播的交互影響
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"What social media ""likes"": a discourse analysis of the Google, Facebook and Twitter blogs"
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Digitizing ethnonational identities : multimediatic representations of Puerto Rican soldiers ; Multimediatic representations of Puerto Rican soldiers
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THE EFFECTIVENESS OF SOCIAL MEDIA ACTIVITIES ON TAIWANESE UNDERGRADUATES' EFL GRAMMAR ACHIEVEMENT
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Authorship attribution in the e-mail domain a study of the effect of size of author corpus and topic on accuracy of identification
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A Case Study Of The Use Of Thai Words In English-Based Discourse On Facebook By The Thai University Students In The Uk ...
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A Case Study Of The Use Of Thai Words In English-Based Discourse On Facebook By The Thai University Students In The Uk ...
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Knowledge building using wikis in a computer-supported collaborative writing task
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The influence of social media in language change: Changes in vocabulary
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