Ideology Estimation, Media Slant, and Opinion Segregation: Facebook as a Social Barometer
碩士 === 國立臺灣大學 === 經濟學研究所 === 105 === We present a general framework to place different political actors including politicians, news outlets, interest groups, and the mass public all on the same ideological spectrum, using only de-identified, publicly available Facebook data. By specifying a potentia...
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ndltd-TW-105NTU053890252019-05-15T23:39:36Z http://ndltd.ncl.edu.tw/handle/xk4a8c Ideology Estimation, Media Slant, and Opinion Segregation: Facebook as a Social Barometer Facebook 作為社會劫盜地圖:意識形態估計、媒體偏斜、與輿情隔離 Keng-Chi Chang 張耕齊 碩士 國立臺灣大學 經濟學研究所 105 We present a general framework to place different political actors including politicians, news outlets, interest groups, and the mass public all on the same ideological spectrum, using only de-identified, publicly available Facebook data. By specifying a potential ideological universe of fan pages and selecting informative users, we are able to give some new evidence and reproduce conventional measures regarding political ideal points and media slants, and also replicate ideology distribution of citizens both at national and at state levels. Unlike previous works, our procedure does not constrain to a specific aspect of political life, can generate a reasonably smooth mass ideology distribution, is time-variant, and is also topic-decomposable. This makes it extensible and useful for future research. Several new avenues of research made possible by our estimates such as election forecasting and measuring opinion segregation on social media are also discussed. Ming-Jen Lin Chun-Fang Chiang 林明仁 江淳芳 2017 學位論文 ; thesis 50 en_US |
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碩士 === 國立臺灣大學 === 經濟學研究所 === 105 === We present a general framework to place different political actors including politicians, news outlets, interest groups, and the mass public all on the same ideological spectrum, using only de-identified, publicly available Facebook data. By specifying a potential ideological universe of fan pages and selecting informative users, we are able to give some new evidence and reproduce conventional measures regarding political ideal points and media slants, and also replicate ideology distribution of citizens both at national and at state levels. Unlike previous works, our procedure does not constrain to a specific aspect of political life, can generate a reasonably smooth mass ideology distribution, is time-variant, and is also topic-decomposable. This makes it extensible and useful for future research. Several new avenues of research made possible by our estimates such as election forecasting and measuring opinion segregation on social media are also discussed.
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author2 |
Ming-Jen Lin |
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Ming-Jen Lin Keng-Chi Chang 張耕齊 |
author |
Keng-Chi Chang 張耕齊 |
spellingShingle |
Keng-Chi Chang 張耕齊 Ideology Estimation, Media Slant, and Opinion Segregation: Facebook as a Social Barometer |
author_sort |
Keng-Chi Chang |
title |
Ideology Estimation, Media Slant, and Opinion Segregation: Facebook as a Social Barometer |
title_short |
Ideology Estimation, Media Slant, and Opinion Segregation: Facebook as a Social Barometer |
title_full |
Ideology Estimation, Media Slant, and Opinion Segregation: Facebook as a Social Barometer |
title_fullStr |
Ideology Estimation, Media Slant, and Opinion Segregation: Facebook as a Social Barometer |
title_full_unstemmed |
Ideology Estimation, Media Slant, and Opinion Segregation: Facebook as a Social Barometer |
title_sort |
ideology estimation, media slant, and opinion segregation: facebook as a social barometer |
publishDate |
2017 |
url |
http://ndltd.ncl.edu.tw/handle/xk4a8c |
work_keys_str_mv |
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