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    Seminar TitleUsing Big Data Approach to Analysis Candidates Campaign and Crowd Discussion on Facebook - A Case Study of the 2014 Taipei Mayoral Election
    Year105
    Semester2
    Meeting Start Date2017-07-16
    Seminar NameUsing Big Data Approach to Analysis Candidates Campaign and Crowd Discussion on Facebook - A Case Study of the 2014 Taipei Mayoral Election
    Seminar Name Other以鉅量資料取徑分析facebook候選人網路競選行為及群眾討論行為—2014台北市長選舉個案研究
    All AuthorYilin TSAI
    The Unit Of The Conference
    Publisher
    Meeting Name2017 IAMCR annual conference, Media and Social Media: Meeting the Issues of Terrorism and Violent Extremism
    Meeting PlaceCartagena, Columbia
    SummaryWith technological and social change, cultural campaign, campaign tactics and methods of operation also changed, the phenomenon of laymen participating in election campaigns began to rise, making E- campaigns became a a viable method of election. This study attempts to take big data approach analysis supported by content analysis to observed the 2014 Taipei mayoral election, using Netvizz collected a total of 452 posts, 928,600 user’s data and 6,657,707 times user’s interaction data in Ko Wen-je’s fanpage, 309 posts, 253312 user’s data and 2525869 times user’s interaction data in Lian Sheng-wen’s fanpage. The study found that the more easy to read, the more intuitive understanding of the post, the higher participation it gets. The more specific and with personal characteristic, the more enthusiastic masses react. Soft information get higher interaction. The masses on Ko Wen-je’s fanpage react more relatively to soft information, the masses on Lian Sheng-wen’s fanpage react more relatively to hard information. The masses on both sides of the fan page for topics discussed are weak, most of them just simply express their views, rather than discuss the pros and cons. If take a closer look, we can see people on the fan page of who they like tend not discussed in depth, on the contrary, on the fan page of who they don’t like are more likely to arouse positive and negative discussion. Overall, the negative impact which web campaign brought is slightly greater than positive meaning it brought for the elections because people prefer personal soft information and information candidates released are difficult to arouse people debating on the subject.
    Keywordbig data;content analysis;purposes of the election;soft and hard information;rational discussion
    Use LangEnglish
    Level,Other
    Nature Of The Meeting國際
    On-campus Seminar Location無
    Seminar Time20170716~20170720
    Corresponding Author
    CountryCOL
    Open Call for Papers
    Publication style
    Provenance