Toward personality insights from language exploration in social media

H. Andrew Schwartz; Johannes C. Eichstaedt; Lukasz Dziurzynski; Margaret L. Kern; Martin E.P. Seligman; Lyle H. Ungar; Eduardo Blanco; Michal Kosinski; David Stillwell

Toward personality insights from language exploration in social media

H. Andrew Schwartz
, Johannes C. Eichstaedt
, Lukasz Dziurzynski
, Margaret L. Kern
, Martin E.P. Seligman
, Lyle H. Ungar
, Eduardo Blanco
, Michal Kosinski
, David Stillwell

Computer Science

University of Pennsylvania
Lymba Corporation
University of Cambridge

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

44 Scopus citations

Abstract

Language in social media reveals a lot about people's personality and mood as they discuss the activities and relationships that constitute their everyday lives. Although social media are widely studied, researchers in computational linguistics have mostly focused on prediction tasks such as sentiment analysis and authorship attribution. In this paper, we show how social media can also be used to gain psychological insights. We demonstrate an exploration of language use as a function of age, gender, and personality from a dataset of Facebook posts from 75,000 people who have also taken personality tests, and we suggest how more sophisticated tools could be brought to bear on such data.

Original language	English
Title of host publication	Analyzing Microtext - Papers from the AAAI Spring Symposium, Technical Report
Pages	72-79
Number of pages	8
State	Published - 2013
Event	2013 AAAI Spring Symposium - Palo Alto, CA, United States Duration: Mar 25 2013 → Mar 27 2013

Publication series

Name	AAAI Spring Symposium - Technical Report
Volume	SS-13-01

Conference

Conference	2013 AAAI Spring Symposium
Country/Territory	United States
City	Palo Alto, CA
Period	03/25/13 → 03/27/13

Cite this

Andrew Schwartz, H., Eichstaedt, J. C., Dziurzynski, L., Kern, M. L., Seligman, M. E. P., Ungar, L. H., Blanco, E., Kosinski, M., & Stillwell, D. (2013). Toward personality insights from language exploration in social media. In Analyzing Microtext - Papers from the AAAI Spring Symposium, Technical Report (pp. 72-79). (AAAI Spring Symposium - Technical Report; Vol. SS-13-01).

@inproceedings{8ca8f9a218f74b11b39b6b90eec37acb,

title = "Toward personality insights from language exploration in social media",

abstract = "Language in social media reveals a lot about people's personality and mood as they discuss the activities and relationships that constitute their everyday lives. Although social media are widely studied, researchers in computational linguistics have mostly focused on prediction tasks such as sentiment analysis and authorship attribution. In this paper, we show how social media can also be used to gain psychological insights. We demonstrate an exploration of language use as a function of age, gender, and personality from a dataset of Facebook posts from 75,000 people who have also taken personality tests, and we suggest how more sophisticated tools could be brought to bear on such data.",

author = "\{Andrew Schwartz\}, H. and Eichstaedt, \{Johannes C.\} and Lukasz Dziurzynski and Kern, \{Margaret L.\} and Seligman, \{Martin E.P.\} and Ungar, \{Lyle H.\} and Eduardo Blanco and Michal Kosinski and David Stillwell",

year = "2013",

language = "English",

isbn = "9781577355984",

series = "AAAI Spring Symposium - Technical Report",

pages = "72--79",

booktitle = "Analyzing Microtext - Papers from the AAAI Spring Symposium, Technical Report",

note = "2013 AAAI Spring Symposium ; Conference date: 25-03-2013 Through 27-03-2013",

}

Andrew Schwartz, H, Eichstaedt, JC, Dziurzynski, L, Kern, ML, Seligman, MEP, Ungar, LH, Blanco, E, Kosinski, M & Stillwell, D 2013, Toward personality insights from language exploration in social media. in Analyzing Microtext - Papers from the AAAI Spring Symposium, Technical Report. AAAI Spring Symposium - Technical Report, vol. SS-13-01, pp. 72-79, 2013 AAAI Spring Symposium, Palo Alto, CA, United States, 03/25/13.

Toward personality insights from language exploration in social media. / Andrew Schwartz, H.; Eichstaedt, Johannes C.; Dziurzynski, Lukasz et al.
Analyzing Microtext - Papers from the AAAI Spring Symposium, Technical Report. 2013. p. 72-79 (AAAI Spring Symposium - Technical Report; Vol. SS-13-01).

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

TY - GEN

T1 - Toward personality insights from language exploration in social media

AU - Andrew Schwartz, H.

AU - Eichstaedt, Johannes C.

AU - Dziurzynski, Lukasz

AU - Kern, Margaret L.

AU - Seligman, Martin E.P.

AU - Ungar, Lyle H.

AU - Blanco, Eduardo

AU - Kosinski, Michal

AU - Stillwell, David

PY - 2013

Y1 - 2013

N2 - Language in social media reveals a lot about people's personality and mood as they discuss the activities and relationships that constitute their everyday lives. Although social media are widely studied, researchers in computational linguistics have mostly focused on prediction tasks such as sentiment analysis and authorship attribution. In this paper, we show how social media can also be used to gain psychological insights. We demonstrate an exploration of language use as a function of age, gender, and personality from a dataset of Facebook posts from 75,000 people who have also taken personality tests, and we suggest how more sophisticated tools could be brought to bear on such data.

AB - Language in social media reveals a lot about people's personality and mood as they discuss the activities and relationships that constitute their everyday lives. Although social media are widely studied, researchers in computational linguistics have mostly focused on prediction tasks such as sentiment analysis and authorship attribution. In this paper, we show how social media can also be used to gain psychological insights. We demonstrate an exploration of language use as a function of age, gender, and personality from a dataset of Facebook posts from 75,000 people who have also taken personality tests, and we suggest how more sophisticated tools could be brought to bear on such data.

UR - https://www.scopus.com/pages/publications/84883294645

M3 - Conference contribution

AN - SCOPUS:84883294645

SN - 9781577355984

T3 - AAAI Spring Symposium - Technical Report

SP - 72

EP - 79

BT - Analyzing Microtext - Papers from the AAAI Spring Symposium, Technical Report

T2 - 2013 AAAI Spring Symposium

Y2 - 25 March 2013 through 27 March 2013

ER -

Toward personality insights from language exploration in social media

Abstract

Publication series

Conference

Other files and links

Fingerprint

Cite this