Self-disclosure and relationship strength in twitter conversations

Jin Yeong Bak; Suin Kim; Alice Oh

Self-disclosure and relationship strength in twitter conversations

Jin Yeong Bak
, Suin Kim
, Alice Oh

Korea Advanced Institute of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

42 Scopus citations

Abstract

In social psychology, it is generally accepted that one discloses more of his/her personal information to someone in a strong relationship. We present a computational framework for automatically analyzing such self-disclosure behavior in Twitter conversations. Our framework uses text mining techniques to discover topics, emotions, sentiments, lexical patterns, as well as personally identifiable information (PII) and personally embarrassing information (PEI). Our preliminary results illustrate that in relationships with high relationship strength, Twitter users show significantly more frequent behaviors of self-disclosure.

Original language	English
Title of host publication	50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference
Pages	60-64
Number of pages	5
State	Published - 2012
Externally published	Yes
Event	50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Jeju Island, Korea, Republic of Duration: 8 Jul 2012 → 14 Jul 2012

Publication series

Name	50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference
Volume	2

Conference

Conference	50th Annual Meeting of the Association for Computational Linguistics, ACL 2012
Country/Territory	Korea, Republic of
City	Jeju Island
Period	8/07/12 → 14/07/12

Cite this

@inproceedings{a37e6bdc09a1493dbbff123c94bb85e4,

title = "Self-disclosure and relationship strength in twitter conversations",

abstract = "In social psychology, it is generally accepted that one discloses more of his/her personal information to someone in a strong relationship. We present a computational framework for automatically analyzing such self-disclosure behavior in Twitter conversations. Our framework uses text mining techniques to discover topics, emotions, sentiments, lexical patterns, as well as personally identifiable information (PII) and personally embarrassing information (PEI). Our preliminary results illustrate that in relationships with high relationship strength, Twitter users show significantly more frequent behaviors of self-disclosure.",

author = "Bak, \{Jin Yeong\} and Suin Kim and Alice Oh",

year = "2012",

language = "English",

isbn = "9781937284251",

series = "50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference",

pages = "60--64",

booktitle = "50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference",

note = "50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 ; Conference date: 08-07-2012 Through 14-07-2012",

}

Bak, JY, Kim, S & Oh, A 2012, Self-disclosure and relationship strength in twitter conversations. in 50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference. 50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference, vol. 2, pp. 60-64, 50th Annual Meeting of the Association for Computational Linguistics, ACL 2012, Jeju Island, Korea, Republic of, 8/07/12.

Self-disclosure and relationship strength in twitter conversations. / Bak, Jin Yeong; Kim, Suin; Oh, Alice.
50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference. 2012. p. 60-64 (50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Self-disclosure and relationship strength in twitter conversations

AU - Bak, Jin Yeong

AU - Kim, Suin

AU - Oh, Alice

PY - 2012

Y1 - 2012

N2 - In social psychology, it is generally accepted that one discloses more of his/her personal information to someone in a strong relationship. We present a computational framework for automatically analyzing such self-disclosure behavior in Twitter conversations. Our framework uses text mining techniques to discover topics, emotions, sentiments, lexical patterns, as well as personally identifiable information (PII) and personally embarrassing information (PEI). Our preliminary results illustrate that in relationships with high relationship strength, Twitter users show significantly more frequent behaviors of self-disclosure.

AB - In social psychology, it is generally accepted that one discloses more of his/her personal information to someone in a strong relationship. We present a computational framework for automatically analyzing such self-disclosure behavior in Twitter conversations. Our framework uses text mining techniques to discover topics, emotions, sentiments, lexical patterns, as well as personally identifiable information (PII) and personally embarrassing information (PEI). Our preliminary results illustrate that in relationships with high relationship strength, Twitter users show significantly more frequent behaviors of self-disclosure.

UR - https://www.scopus.com/pages/publications/84878207583

M3 - Conference contribution

AN - SCOPUS:84878207583

SN - 9781937284251

T3 - 50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference

SP - 60

EP - 64

BT - 50th Annual Meeting of the Association for Computational Linguistics, ACL 2012 - Proceedings of the Conference

T2 - 50th Annual Meeting of the Association for Computational Linguistics, ACL 2012

Y2 - 8 July 2012 through 14 July 2012

ER -

Self-disclosure and relationship strength in twitter conversations

Abstract

Publication series

Conference

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