2022/06/26 更新

写真a

ファーヒ　ロバート・アンドリュー
ファーヒ　ロバート・アンドリュー
所属
附属機関・学校 高等研究所
職名
講師（任期付）
 

研究分野

  • 政治学

論文

  • COVID-19, digital privacy, and the social limits on data-focused public health responses

    Robert A. Fahey, Airo Hino

    International Journal of Information Management     102181 - 102181  2020年07月  [査読有り]

    担当区分：筆頭著者

    DOI

  • Covariance in diurnal patterns of suicide-related expressions on Twitter and recorded suicide deaths.

    Robert A Fahey, Jeremy Boo, Michiko Ueda

    Social science & medicine (1982)   253   112960 - 112960  2020年05月  [査読有り]  [国際誌]

    担当区分：筆頭著者, 責任著者

    　概要を見る

    Social media data is increasingly used to gain insights into trends in mental health, but prior studies aimed at confirming a link between online expression of suicidal ideation on social media and actual suicide deaths have been inconclusive. Using comprehensive six-year data sets of Twitter posts and suicide deaths in Japan, we examine the diurnal relationship between the proportional incidence of a suicide-related keyword, "kietai" ("I want to disappear"), and suicide deaths with an OLS regression model. We also use co-occurrence analysis to reveal changes in the linguistic context of the suicide-related keyword at different hours of the day. We find a clear diurnal pattern in the use of this suicide-related keyword, peaking between 1am and 5am. This diurnal trend is positively correlated with suicide deaths among younger cohorts (ages 15 to 44), but the correlation is negative among older adults (45 and over). The correlation among young adults strengthens when a delay between tweet incidence and suicide deaths is included. Compared to daytime tweets, nighttime tweets exhibited a stronger relationship between words related to self-disgust and words directly indicating suicidal intent. This study confirms the hypothesised link between online suicidal ideation and suicide death. Despite frequent flippant use of the keyword, the consistent correlation and the diurnal changes in the context of the keyword's usage demonstrate the value of social media data to the study of mental health trends in groups at risk of suicide.

    DOI PubMed

  • Representing the Twittersphere: Archiving a representative sample of Twitter data under resource constraints

    Airo Hino, Robert A. Fahey

    International Journal of Information Management   48   175 - 184  2019年10月  [査読有り]

    DOI

  • Tracking the Werther Effect on social media: Emotional responses to prominent suicide deaths on twitter and subsequent increases in suicide

    Robert A. Fahey, Tetsuya Matsubayashi, Michiko Ueda

    Social Science & Medicine   219   19 - 29  2018年  [査読有り]

    DOI

  • SNS データから 「有権者の本音」 を推論できるか?

    Robert Fahey

    日本世論調査協会報「よろん」    2019年03月  [招待有り]  [国内誌]

    担当区分：筆頭著者

    DOI

Misc

  • Populism in Japan

       2021年03月  [査読有り]  [招待有り]

    担当区分：筆頭著者

    DOI

  • Sentiment Analysis and Social Media

    Luigi Curini, Robert Fahey

    The SAGE Handbook of Research Methods in Political Science and International Relations    2020年04月  [招待有り]

共同研究・競争的資金等の研究課題

  • A New Approach to Measuring Political and Social Polarisation in Developed Nations

    Japan Society for the Promotion of Science  Grants-in-Aid for Scientific Research Grant-in-Aid for Research Activity start-up

    研究期間:

    2019年08月
    -
    2021年03月
     

講演・口頭発表等

  • From Filter Bubble to Social Cleavage: Online Polarisation Across Nations

    Robert A. Fahey, Stefano Camatarri

    2020 APSA Annual Meeting  

    発表年月： 2020年09月

    開催年月：
    2020年09月
    　
    　

  • Belief in Conspiracy Theories and Socio-Political Identity in Japan

    Airo Hino, Robert A. Fahey, Stefano Camatarri

    2020 APSA Annual Meeting  

    発表年月： 2020年09月

    開催年月：
    2020年09月
    　
    　
 

担当経験のある科目(授業)

  • Social Network Analysis

    University of Milan, Department of Social and Political Sciences  

    2021年03月
    -
    継続中
     

  • データアクセスと規制３：データ管理

    ミラノ大学 社会政治学部  

    2020年02月
    -
    継続中