Daiki Ayuha

Kuniomi Shibata

アユハ ダイキ

シバタ クニオミ

柴田 邦臣

阿由葉 大生

Otsuma Women's University Repository / 大妻女子大学学術情報リポジトリ

「大妻エレクション2012」の調査報告と分析 : 若年女性の投票行動、政治意識、情報行動著者名(日) 阿由葉 大生, 柴田 邦臣雑誌名 大妻女子大学紀要. 社会情報系, 社会情報学研究巻 23ページ 175-196発行年 2014URL http://id.nii.ac.jp/1114/00005980/Creative Commons : 表示 - 非営利 - 改変禁止http://creativecommons.org/licenses/by-nc-nd/3.0/deed.jaICTSNSBBS SNSICTYahooFacebook TwitterICTFacebook.. %. %Otsuma Election in1813.0%1939.4%2029.0%2115.2%223.5%71.3%0.5%0.5%5.9%19.4%2.4%%, ,0.5%4.8%52.9%29.8%4.5%3.5%1.3% 0.8%0.5% 0.3% 0.5% 0.5%0 211.4%2 419.8%4 621.5%6 822.3%8 1011.1%1013.9%2151614519234891880915. %. % . %. % . %%. %. %. %. % . % . %17.3%7.3%6.8%0.8%1.6%0.5%0.5%0.3%34.6%3.0%27.3%20.7%21.5%3.3%24.8%0.8%8.3%13.2%0.8%0.8%5.8%168586820818931118501117515. %. %. %%. % . %5%23%45%18%9%51%3%43%3%24.3%24.0%20, 51.4%0.3%48.3%51.7%30.8%18.2%8.3%4.7%1.6%2.0%1.2%0.4%1.6%13.8%2.8%11.9%2.8%. %. %. % . %TPP. %TPP . %. %. %. % SNS. %30.8%15.0%9.1%1.2%5.9%2.0%2.0%1.2%0.8%14.6%2.4%12.6%2.4%29.8%33.5%39.9%36.1%34.9%16.4%4.3%21.4%12.0%12.6%22.9%17.1%11.4%9.1%13.3%6.1%21.0%5.0%51.8%51.5%43.5%47.0%44.6%47.9%22.1%40.5%32.3%35.9%45.8%41.5%28.3%30.9%33.3%35.8%30.8%20.0%14.3%10.2%12.5%11.4%15.1%28.5%50.3%29.2%42.5%39.5%24.7%32.9%42.2%43.0%38.2%43.6%38.5%25.0%4.2%4.8%4.2%5.4%5.4%7.3%23.3%8.9%13.2%12.0%6.6%8.5%18.1%17.0%15.2%14.5%9.8%50.0%a) N=168b) N=167c) N=168d) N=166e) N=166f) N=165g) N=163h) N=168i) N=167j) N=167k) TPP N=166l) N=164m) N=166n) N=165o) N=165p) N=165q) 9 N=143r) N=2013.1%7.0%20.2%22.0%14.3%25.1%20.4%48.8%37.4%26.1%16.0%14.0%18.4%13.9%3.3%a) N=245b) TPP N=244c) N=243350310237712436.837.153.47.718.924.56.69.27.46.638.834.622.019.221.923.118.59.89.45.59.711.55.213.715.311.816.37.85.85.39.79.65.538.221.916.520.415.410.27.55.07.113.821.221.924.038.157.867.275.1N=361TV N=364SNS N=363N=364N=360N=363N=362N=358N=363SNS N=3611. % . %. % . %22.7 16.8 12.4 11.8 4.8 4.2 6.2 3.1 2.8 3.6 4.2 4.5 2.3 1.4 1.7 0.3 1.4 1.1 0.3 0.0 46.8 34.9 31.6 27.2 21.2 18.6 15.5 17.0 15.4 14.5 12.1 9.3 8.2 7.3 5.6 4.2 2.2 2.0 2.3 0.9 15.7 17.9 21.0 16.5 22.7 14.6 16.1 21.2 28.8 27.1 19.1 16.7 18.6 14.1 18.5 13.5 13.4 12.7 12.1 10.0 2.8 3.7 4.0 5.2 13.6 11.5 9.0 8.7 13.7 12.6 11.5 9.9 11.0 11.8 10.9 11.3 7.8 13.8 13.5 8.3 12.0 26.7 31.0 39.3 37.7 51.0 53.2 50.0 39.4 42.2 53.1 59.5 59.9 65.4 63.3 70.7 75.1 70.4 71.8 80.9 N=357N=352N=348N=356N=353Twi er N=355N=355N=358N=358N=358N=357N=353N=354N=355N=357Facebook N=355N=357Line N=355Mixi N=355SNS  N=230N p phi. .. .TV . .. .. .. .. .SNS . .SNS . .. .%%% . .. .%. .% . .p = .% . .. .%. .% . .p = .= . p = . phi = .p = . phi = .%.p = .. %. %p = . phi SNS% . .. .% . .. .%p = .45%33%14%7% 1%. %. %. %. %. %. %. .N p phi. .. .. .. .. .. .. .. .. .. .. .. .. .. .. .Facebook . .Twitter . .Mixi . .Line . .SNS . .%%% . .. .% . .. .% . .p = .%BBS SNSBBSBBS% . .. .% . .. .% . .p = .% . .. .% . .. .% . .p = .BBS SNS.BBS.SNS SNSFacebook Twitter MixiLine SNSSNSSNSSNS.phip = . phi = .SNSBBS SNSSNS BBSBBS SNSBBS N= . % . % .SNS N= . % . % .FacebookTwitterMixiLineSNSBBSSNSp . . . . . . . . . . . . . . . . . . . . . .phi . . . . . . . . . . . . . . . . . . . . . .TV p . . . . . . . . . . . . . . . . . . . . . .phi . . . . . . . . . . . . . . . . . . . . . .p . . . . . . . . . . . . . . . . . . . . . .phi . . . . . . . . . . . . . . . . . . . . . .p . . . . . . . . . . . . . . . . . . . . . .phi . . . . . . . . . . . . . . . . . . . . . .p . . . . . . . . . . . . . . . . . . . . . .phi . . . . . . . . . . . . . . . . . . . . . .p . . . . . . . . . . . . . . . . . . . . . .phi . . . . . . . . . . . . . . . . . . . . . .BBS p . . . . . . . . . . . . . . . . . . . . . .phi . . . . . . . . . . . . . . . . . . . . . .SNSp . . . . . . . . . . . . . . . . . . . . . .phi . . . . . . . . . . . . . . . . . . . . . .p . . . . . . . . . . . . . . . . . . . . . .phi . . . . . . . . . . . . . . . . . . . . . .SNSp . . . . . . . . . . . . . . . . . . . . . .phi . . . . . . . . . . . . . . . . . . . . . .%%BBSp = .p = .TV% . % . % . %. .% . % . % . %. .% . % . % . %TV% . % . % . %. .% . % . % . %. .% . % . % . %TV% . % . % . %. .% . % . % . %. .% . % . % . %p = . phi = .p = .p = .p = .TV% . % . % . %. .% . % . % . %. .% . % . % . %TV% . % . % . %. .% . % . % . %. .% . % . % . %TV% . % . % . %. .% . % . % . %. .% . % . % . %TV% . % . % . %. .% . % . % . %. .% . % . % . %p = . phi = .p = .p = .p= .%p = .BBSQ _BBSblog BBS% . % . % . %. .% . % . % . %. .% . % . % . %blog BBS% . % . % . %. .% . % . % . %. .% . % . % . %blog BBS% . % . % . %. .% . % . % . %. .% . % . % . %p = . phi = .p = .p = .SNSSNSBBSblog BBS% . % . % . %. .% . % . % . %. .% . % . % . %blog BBS% . % . % . %. .% . % . % . %. .% . % . % . %blog BBS% . % . % . %. .% . % . % . %. .% . % . % . %blog BBS% . % . % . %. .% . % . % . %. .% . % . % . %p = . phi = .p = .p = .=  = SNSSNSp = .SNS Facebook Twitter MixiLINEORSNSSNS% . % . % . %. .% . % . % . %. .% . % . % . %SNS% . % . % . %. .% . % . % . %. .% . % . % . %SNS% . % . % . %. .% . % . % . %. .% . % . % . %p = . phi = .p = .p = .BBS SNSICTICTICTORSNSSNS% . % . % . %. .% . % . % . %. .% . % . % . %SNS% . % . % . %. .% . % . % . %. .% . % . % . %SNS% . % . % . %. .% . % . % . %. .% . % . % . %p = . phi = .p = .p = .SSI: in: SHAPIRO, S. M., Revolution, Facebook-Style, The New York Times, / /DAIKI AYUHA AND KUNIOMI SHIBATAAn Investigative Report of the ‘Otsuma Election 2012’ SurveyYoung Women’s Voting Behaviour, Political attitude and Media UseAbstractIt is believed that media use has strong influence on political activities especially among young people. To better understand the relationship between their media use, political behaviour and political attitude, we have conducted the ‘Otsuma Election Survey 2012’ of 378 Otsuma Women’s University students. Through the survey and the analysis, there were two findings. Firstly, we found that being digital in their private life did not mean being digital in political context. In their daily life, digital media such as SNS and video sharing websites were often used. On the other hand, for political information gathering, traditional media such as television, newspapers and talks with their family members were more likely to be used. Secondly, we also found that media use “made the rich (the politically active) richer (even more politically active)”. Among the politically minded stu-dents, the daily use of television, SNS, blogs and BBS significantly correlated with their political use, while, among the not so politically minded, their daily use did not correlate with political use. The politically active used more media and became more politically informed than those who were not.Key Wordsmedia use voting behaviour social mediaICT ICT youth

オオツマ エレクション 2012 ノ チョウサ ホウコク ト ブンセキ ジャクネン ジョセイ ノ トウヒョウ コウドウ セイジ イシキ ジョウホウ コウドウ

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オオツマエレクション 2012 ノチョウサホウコクトブンセキジャクネンジョセイノトウヒョウコウドウセイジイシキジョウホウコウドウ

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Otsuma Women's University Repository / 大妻女子大学学術情報リポジトリ

オオツマ エレクション 2012 ノ チョウサ ホウコク ト ブンセキ ジャクネン ジョセイ ノ トウヒョウ コウドウ セイジ イシキ ジョウホウ コウドウ

Abstract

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Full text

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Otsuma Women's University Repository / 大妻女子大学学術情報リポジトリ

オオツマエレクション 2012 ノチョウサホウコクトブンセキジャクネンジョセイノトウヒョウコウドウセイジイシキジョウホウコウドウ