Measuring Personal Values in Cross-Cultural User-Generated Content.

Yiting Shen; Steven Wilson; Rada Mihalcea

doi:10.1007/978-3-030-34971-4_10

Measuring Personal Values in Cross-Cultural User-Generated Content.

Yiting Shen, Steven Wilson, Rada Mihalcea

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

Abstract

There are several standard methods used to measure personal values, including the Schwartz Values Survey and the World Values Survey. While these tools are based on well-established questionnaires, they are expensive to administer at a large scale and rely on respondents to self-report their values rather than observing what people actually choose to write about. We employ a lexicon-based method that can computationally measure personal values on a large scale. Our approach is not limited to word-counting as we explore and evaluate several alternative approaches to quantifying the usage of value-related themes in a given document. We apply our methodology to a large blog dataset comprised of text written by users from different countries around the world in order to quantify cultural differences in the expression of person values on blogs. Additionally, we analyze the relationship between the value themes expressed in blog posts and the values measured for some of the same countries using the World Values Survey.

Original language	English
Title of host publication	International Conference on Social Informatics
Subtitle of host publication	11th International Conference, SocInfo 2019
Publisher	Springer
Pages	143-155
Number of pages	14
ISBN (Electronic)	978-3-030-34971-4
ISBN (Print)	978-3-030-34970-7
DOIs	https://doi.org/10.1007/978-3-030-34971-4_10
Publication status	Published - 11 Nov 2019
Event	11th International Conference on Social Informatics - Doha, Qatar Duration: 18 Nov 2019 → 21 Nov 2019 https://socinfo2019.qcri.org/

Publication series

Name	Lecture Notes in Computer Science (LNCS)
Publisher	Springer, Cham
Volume	11864
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Conference on Social Informatics
Abbreviated title	SocInfo 2019
Country/Territory	Qatar
City	Doha
Period	18/11/19 → 21/11/19
Internet address	https://socinfo2019.qcri.org/

Keywords / Materials (for Non-textual outputs)

Content analysis
Personal values
User-generated content

Access to Document

10.1007/978-3-030-34971-4_10Licence: All Rights Reserved

https://link.springer.com/chapter/10.1007/978-3-030-34971-4_10Licence: All Rights Reserved

Cite this

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title = "Measuring Personal Values in Cross-Cultural User-Generated Content.",

abstract = "There are several standard methods used to measure personal values, including the Schwartz Values Survey and the World Values Survey. While these tools are based on well-established questionnaires, they are expensive to administer at a large scale and rely on respondents to self-report their values rather than observing what people actually choose to write about. We employ a lexicon-based method that can computationally measure personal values on a large scale. Our approach is not limited to word-counting as we explore and evaluate several alternative approaches to quantifying the usage of value-related themes in a given document. We apply our methodology to a large blog dataset comprised of text written by users from different countries around the world in order to quantify cultural differences in the expression of person values on blogs. Additionally, we analyze the relationship between the value themes expressed in blog posts and the values measured for some of the same countries using the World Values Survey.",

keywords = "Content analysis, Personal values, User-generated content",

author = "Yiting Shen and Steven Wilson and Rada Mihalcea",

year = "2019",

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doi = "10.1007/978-3-030-34971-4_10",

language = "English",

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series = " Lecture Notes in Computer Science (LNCS)",

publisher = "Springer",

pages = "143--155",

booktitle = "International Conference on Social Informatics",

address = "United Kingdom",

note = "11th International Conference on Social Informatics, SocInfo 2019 ; Conference date: 18-11-2019 Through 21-11-2019",

url = "https://socinfo2019.qcri.org/",

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Shen, Y, Wilson, S & Mihalcea, R 2019, Measuring Personal Values in Cross-Cultural User-Generated Content. in International Conference on Social Informatics: 11th International Conference, SocInfo 2019. Lecture Notes in Computer Science (LNCS), vol. 11864, Springer, pp. 143-155, 11th International Conference on Social Informatics, Doha, Qatar, 18/11/19. https://doi.org/10.1007/978-3-030-34971-4_10

Measuring Personal Values in Cross-Cultural User-Generated Content. / Shen, Yiting; Wilson, Steven; Mihalcea, Rada.
International Conference on Social Informatics: 11th International Conference, SocInfo 2019. Springer, 2019. p. 143-155 ( Lecture Notes in Computer Science (LNCS); Vol. 11864).

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

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T1 - Measuring Personal Values in Cross-Cultural User-Generated Content.

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AB - There are several standard methods used to measure personal values, including the Schwartz Values Survey and the World Values Survey. While these tools are based on well-established questionnaires, they are expensive to administer at a large scale and rely on respondents to self-report their values rather than observing what people actually choose to write about. We employ a lexicon-based method that can computationally measure personal values on a large scale. Our approach is not limited to word-counting as we explore and evaluate several alternative approaches to quantifying the usage of value-related themes in a given document. We apply our methodology to a large blog dataset comprised of text written by users from different countries around the world in order to quantify cultural differences in the expression of person values on blogs. Additionally, we analyze the relationship between the value themes expressed in blog posts and the values measured for some of the same countries using the World Values Survey.

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Measuring Personal Values in Cross-Cultural User-Generated Content.

Abstract

Publication series

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

Fingerprint

Cite this