As one of the most popular topics within political communication research, elections
\nhave been paid a lot of attention to, especially the predictors of the election result. Previous
\nliterature has proposed and adequately verified the effect of demographics (e.g. age, gender,
\nand education), party effect (e.g. liberal and conservative), personal image (e.g. clothing and
\nsmile), political party funding, media strategy, and some other factors of candidates through
\nthe process of election. While, as an important tool for voters to evaluate candidates, form
\nprospective beliefs about them, and make a voting decision (Born et al., 2018), the election
\npromise made by candidates through their campaigns and discourses has received less
\nscholarly attention. Generally, voters have their own policy preferences and candidates who
\ncan implement the preference in their election promises will maximize the chances of
\nwinning the election (Jasim Alsamydai et al., 2013).<\/p>\n
Meanwhile, online political information provider like voter guidance website has
\nimproved the openness and transparency in organizing and carrying out elections, which can
\nimprove the engagement of the public (Xenos and Moy, 2007) and make the relationship
\nbetween the election promise and result more observable. And the online political
\ninformation is the data source of this study.<\/p>\n
To identify different policy focuses of candidates, one feasible way is to extract topics
\nfrom the election promises of each candidate and quantify them. Compared with traditional
\nquantitative methods like content analysis, computational methods such as text mining could
\nsave both manpower and time and avoid coder bias to a certain degree. In this study, the
\ndata of candidates of the 2018 local councilor election in Taiwan were used to answer the
\nfollowing questions:1. How can researchers extract and quantify topics computationally from
\nelection promises? 2. Do policy preferences exist in the local councilor election in Taiwan? If
\nit exists, which topic of election promises could predict a successful election result?<\/p>\n","protected":false},"excerpt":{"rendered":"
As one of the most popular topics within political communication research, elections have been paid a lot of attention to, especially the predictors of the election result. Previous literature has proposed and adequately verified the effect of demographics (e.g. age, gender, and education), party effect (e.g. liberal and conservative), personal image (e.g. clothing and smile), […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"user_nicename","value":"Xin Jin","user_id":"41958"}],"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"MIT Media Lab","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"The 6th International Conference on Computational Social 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