Home > Research > Publications & Outputs > Cultural influences on the measurement of perso...
View graph of relations

Cultural influences on the measurement of personal values through words

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published

Standard

Cultural influences on the measurement of personal values through words. / Wilson, Steven R.; Mihalcea, Rada; Boyd, Ryan L. et al.
2016 AAAI Spring Symposium Series - Collected Papers from the AAAI Spring Symposia. AI Access Foundation, 2016. p. 314-317 (AAAI Spring Symposium - Technical Report; Vol. SS-16-01 - 07).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Wilson, SR, Mihalcea, R, Boyd, RL & Pennebaker, JW 2016, Cultural influences on the measurement of personal values through words. in 2016 AAAI Spring Symposium Series - Collected Papers from the AAAI Spring Symposia. AAAI Spring Symposium - Technical Report, vol. SS-16-01 - 07, AI Access Foundation, pp. 314-317, 2016 AAAI Spring Symposium, Palo Alto, United States, 21/03/16. <https://aaai.org/Press/Reports/Symposia/Spring/ss-16.php>

APA

Wilson, S. R., Mihalcea, R., Boyd, R. L., & Pennebaker, J. W. (2016). Cultural influences on the measurement of personal values through words. In 2016 AAAI Spring Symposium Series - Collected Papers from the AAAI Spring Symposia (pp. 314-317). (AAAI Spring Symposium - Technical Report; Vol. SS-16-01 - 07). AI Access Foundation. https://aaai.org/Press/Reports/Symposia/Spring/ss-16.php

Vancouver

Wilson SR, Mihalcea R, Boyd RL, Pennebaker JW. Cultural influences on the measurement of personal values through words. In 2016 AAAI Spring Symposium Series - Collected Papers from the AAAI Spring Symposia. AI Access Foundation. 2016. p. 314-317. (AAAI Spring Symposium - Technical Report).

Author

Wilson, Steven R. ; Mihalcea, Rada ; Boyd, Ryan L. et al. / Cultural influences on the measurement of personal values through words. 2016 AAAI Spring Symposium Series - Collected Papers from the AAAI Spring Symposia. AI Access Foundation, 2016. pp. 314-317 (AAAI Spring Symposium - Technical Report).

Bibtex

@inproceedings{aa935a9856214a99a4e556a80a4a5160,
title = "Cultural influences on the measurement of personal values through words",
abstract = "Texts posted on the web by users from diverse cultures provide a nearly endless source of data that researchers can use to study human thoughts and language patterns. However, unless care is taken to avoid it, models may be developed in one cultural setting and deployed in another, leading to unforeseen consequences. We explore the effects of using models built from a corpus of texts from multiple cultures in order to learn about each represented people group separately. To do this, we employ a topic modeling approach to quantify open-ended writing responses describing personal values and everyday behaviors in two distinct cultures. We show that some topics are more prominent in one culture compared to the other, while other topics are mentioned to similar degrees. Furthermore, our results indicate that culture influences how value-behavior relationships are exhibited. While some relationships exist in both cultural groups, in most cases we see that the observed relations are dependent on the cultural background of the data set under examination.",
author = "Wilson, {Steven R.} and Rada Mihalcea and Boyd, {Ryan L.} and Pennebaker, {James W.}",
year = "2016",
month = mar,
day = "21",
language = "English",
series = "AAAI Spring Symposium - Technical Report",
publisher = "AI Access Foundation",
pages = "314--317",
booktitle = "2016 AAAI Spring Symposium Series - Collected Papers from the AAAI Spring Symposia",
address = "United States",
note = "2016 AAAI Spring Symposium ; Conference date: 21-03-2016 Through 23-03-2016",

}

RIS

TY - GEN

T1 - Cultural influences on the measurement of personal values through words

AU - Wilson, Steven R.

AU - Mihalcea, Rada

AU - Boyd, Ryan L.

AU - Pennebaker, James W.

PY - 2016/3/21

Y1 - 2016/3/21

N2 - Texts posted on the web by users from diverse cultures provide a nearly endless source of data that researchers can use to study human thoughts and language patterns. However, unless care is taken to avoid it, models may be developed in one cultural setting and deployed in another, leading to unforeseen consequences. We explore the effects of using models built from a corpus of texts from multiple cultures in order to learn about each represented people group separately. To do this, we employ a topic modeling approach to quantify open-ended writing responses describing personal values and everyday behaviors in two distinct cultures. We show that some topics are more prominent in one culture compared to the other, while other topics are mentioned to similar degrees. Furthermore, our results indicate that culture influences how value-behavior relationships are exhibited. While some relationships exist in both cultural groups, in most cases we see that the observed relations are dependent on the cultural background of the data set under examination.

AB - Texts posted on the web by users from diverse cultures provide a nearly endless source of data that researchers can use to study human thoughts and language patterns. However, unless care is taken to avoid it, models may be developed in one cultural setting and deployed in another, leading to unforeseen consequences. We explore the effects of using models built from a corpus of texts from multiple cultures in order to learn about each represented people group separately. To do this, we employ a topic modeling approach to quantify open-ended writing responses describing personal values and everyday behaviors in two distinct cultures. We show that some topics are more prominent in one culture compared to the other, while other topics are mentioned to similar degrees. Furthermore, our results indicate that culture influences how value-behavior relationships are exhibited. While some relationships exist in both cultural groups, in most cases we see that the observed relations are dependent on the cultural background of the data set under examination.

M3 - Conference contribution/Paper

AN - SCOPUS:84980018876

T3 - AAAI Spring Symposium - Technical Report

SP - 314

EP - 317

BT - 2016 AAAI Spring Symposium Series - Collected Papers from the AAAI Spring Symposia

PB - AI Access Foundation

T2 - 2016 AAAI Spring Symposium

Y2 - 21 March 2016 through 23 March 2016

ER -