지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2013.1
- 수록면
- 304 - 316 (13page)
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초록· 키워드
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Potential benefits of using online social network data for clinical studies on depression are tremendous. In this paper, we present a preliminary result on building a research framework that utilizes real-time moods of users portrayed in the Twitter social network and explore the use of language in describing depressive moods. First, we analyzed a random sample of tweets posted by the general Twitter population during a two month period to explore how depression is discussed in Twitter. We found remarkable activities related to depression in Twitter which included detailed information about Twitter users' depressed feelings, information sharing, attitudes towards depression, as well as their treatment histories. Going forward, we conducted a study on 69 participants to determine whether the use of sentiment words of depressed users differed from a typical user. We found that the use of words related to negative emotion and anger significantly increased among Twitter users with major depressive symptoms compared to those otherwise. However, no difference was found in the use of words related to positive emotion between the two groups. Our work provides several evidences that online social networks provide meaningful data for capturing depressive moods of users.
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등록된 정보가 없습니다.
참고문헌 (29)
참고문헌 신청
S.Rude / 2004 / Language use of depressed and depression-vulnerable college students / Cognition & Emotion 18(8):1121~1133
V.A.Clark / 1981 / Analysis of effects of sex and age in response to items on the CES-D scale / Psychiatry Research 5(2):171~181
J.M.Cyranowski / 2000 / Adolescent onset of the gender difference in lifetime rates of major depression: A theoretical model / Archives of General Psychiatry 57(1):21~27
G.L.Klerman / 1988 / The current age of youthful melancholia: Evidence for increase in depression among adolescents and young adults / The British Journal of Psychiatry 152(1):4~14
/ / National Institute of Mental Health, Statistics
V.A.Clark / 1981 / Analysis of effects of sex and age in response to items on the CES-D scale / Psychiatry Research 5(2):171~181
J.M.Cyranowski / 2000 / Adolescent onset of the gender difference in lifetime rates of major depression: A theoretical model / Archives of General Psychiatry 57(1):21~27
G.L.Klerman / 1988 / The current age of youthful melancholia: Evidence for increase in depression among adolescents and young adults / The British Journal of Psychiatry 152(1):4~14
/ / National Institute of Mental Health, Statistics
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