Political attitude estimation through Facebook like: a South Korean case study |
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Authors: | Muhammad Eka Wijaya Meer Sadeq Billah |
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Institution: | Department Electrical Information Engineering, Seoul National University of Science and Technology, Seoul, Republic of Korea |
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Abstract: | Recently numerous studies are conducted to estimate the human personality from the online social activities. This paper develops a comprehensive model for political attitude estimation leveraging the Facebook Like information of the users. We designed a Facebook Crawler that efficiently collects data overcoming the difficulties in crawling Ajax enabled Facebook pages. We show that the category level selection can reduce the data analysis complexity utilizing the sparsity of the huge like-attitude matrix. In the Korean Facebook users’ context, only 28 criteria (3% of the total) can estimate the political polarity of the user with high accuracy (AUC of 0.82). |
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Keywords: | Social Network Data Mining Political Attitude Estimation Facebook Likes SNS Asian Politics Matrix Reduction |
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