Willingness to share emotion information on social media: Influence of personality and social context

Damien Dupre; Gary McKeown; Nicole Andelic; Gawain Morrison

doi:10.1109/DSAA.2018.00086

Willingness to share emotion information on social media: Influence of personality and social context

Damien Dupre, Gary McKeown, Nicole Andelic, Gawain Morrison

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

3 Citations (Scopus)

Abstract

Sharing personal information is an important way of communicating on social media. Among the information possibly shared, new sensors and tools allow people to share emotion information via facial emotion recognition. This paper questions whether people are prepared to share personal information such as their own emotion on social media. In the current study we examined how factors such as felt emotion, motivation for sharing on social media as well as personality affected participants' willingness to share self-reported emotion or facial expression online. By carrying out a Generalized Linear Mixed Model analysis, this study found that participants' willingness to share self-reported emotion and facial expressions was influenced by their personality traits and the motivation for sharing their emotion information that they were given. From our results we can conclude that the estimated level of privacy for certain emotional information, such as facial expression, is influenced by the motivation for sharing the information online.

Original language	English
Title of host publication	Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018
Editors	Tina Eliassi-Rad, Wei Wang, Ciro Cattuto, Foster Provost, Rayid Ghani, Francesco Bonchi
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	665-672
Number of pages	8
ISBN (Electronic)	9781538650905
ISBN (Print)	978-1-5386-5091-2
DOIs	https://doi.org/10.1109/DSAA.2018.00086
Publication status	Published - 04 Feb 2019
Event	5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018 - Turin, Italy Duration: 01 Oct 2018 → 04 Oct 2018

Conference

Conference	5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018
Country/Territory	Italy
City	Turin
Period	01/10/2018 → 04/10/2018

Keywords

Emotion
Facial expression
GLMM
Personality
Social media

ASJC Scopus subject areas

Signal Processing
Information Systems and Management
Statistics, Probability and Uncertainty
Computer Networks and Communications

Access to Document

10.1109/DSAA.2018.00086Licence: Unspecified

Cite this

Dupre, D., McKeown, G., Andelic, N., & Morrison, G. (2019). Willingness to share emotion information on social media: Influence of personality and social context. In T. Eliassi-Rad, W. Wang, C. Cattuto, F. Provost, R. Ghani, & F. Bonchi (Eds.), Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018 (pp. 665-672). Article 8631497 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DSAA.2018.00086

Dupre, Damien ; McKeown, Gary ; Andelic, Nicole et al. / Willingness to share emotion information on social media: Influence of personality and social context. Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018. editor / Tina Eliassi-Rad ; Wei Wang ; Ciro Cattuto ; Foster Provost ; Rayid Ghani ; Francesco Bonchi. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 665-672

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title = "Willingness to share emotion information on social media: Influence of personality and social context",

abstract = "Sharing personal information is an important way of communicating on social media. Among the information possibly shared, new sensors and tools allow people to share emotion information via facial emotion recognition. This paper questions whether people are prepared to share personal information such as their own emotion on social media. In the current study we examined how factors such as felt emotion, motivation for sharing on social media as well as personality affected participants' willingness to share self-reported emotion or facial expression online. By carrying out a Generalized Linear Mixed Model analysis, this study found that participants' willingness to share self-reported emotion and facial expressions was influenced by their personality traits and the motivation for sharing their emotion information that they were given. From our results we can conclude that the estimated level of privacy for certain emotional information, such as facial expression, is influenced by the motivation for sharing the information online.",

keywords = "Emotion, Facial expression, GLMM, Personality, Social media",

author = "Damien Dupre and Gary McKeown and Nicole Andelic and Gawain Morrison",

year = "2019",

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doi = "10.1109/DSAA.2018.00086",

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booktitle = "Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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note = "5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018 ; Conference date: 01-10-2018 Through 04-10-2018",

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Dupre, D, McKeown, G, Andelic, N & Morrison, G 2019, Willingness to share emotion information on social media: Influence of personality and social context. in T Eliassi-Rad, W Wang, C Cattuto, F Provost, R Ghani & F Bonchi (eds), Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018., 8631497, Institute of Electrical and Electronics Engineers Inc., pp. 665-672, 5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018, Turin, Italy, 01/10/2018. https://doi.org/10.1109/DSAA.2018.00086

Willingness to share emotion information on social media: Influence of personality and social context. / Dupre, Damien; McKeown, Gary; Andelic, Nicole et al.
Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018. ed. / Tina Eliassi-Rad; Wei Wang; Ciro Cattuto; Foster Provost; Rayid Ghani; Francesco Bonchi. Institute of Electrical and Electronics Engineers Inc., 2019. p. 665-672 8631497.

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

TY - GEN

T1 - Willingness to share emotion information on social media: Influence of personality and social context

AU - Dupre, Damien

AU - McKeown, Gary

AU - Andelic, Nicole

AU - Morrison, Gawain

PY - 2019/2/4

Y1 - 2019/2/4

N2 - Sharing personal information is an important way of communicating on social media. Among the information possibly shared, new sensors and tools allow people to share emotion information via facial emotion recognition. This paper questions whether people are prepared to share personal information such as their own emotion on social media. In the current study we examined how factors such as felt emotion, motivation for sharing on social media as well as personality affected participants' willingness to share self-reported emotion or facial expression online. By carrying out a Generalized Linear Mixed Model analysis, this study found that participants' willingness to share self-reported emotion and facial expressions was influenced by their personality traits and the motivation for sharing their emotion information that they were given. From our results we can conclude that the estimated level of privacy for certain emotional information, such as facial expression, is influenced by the motivation for sharing the information online.

AB - Sharing personal information is an important way of communicating on social media. Among the information possibly shared, new sensors and tools allow people to share emotion information via facial emotion recognition. This paper questions whether people are prepared to share personal information such as their own emotion on social media. In the current study we examined how factors such as felt emotion, motivation for sharing on social media as well as personality affected participants' willingness to share self-reported emotion or facial expression online. By carrying out a Generalized Linear Mixed Model analysis, this study found that participants' willingness to share self-reported emotion and facial expressions was influenced by their personality traits and the motivation for sharing their emotion information that they were given. From our results we can conclude that the estimated level of privacy for certain emotional information, such as facial expression, is influenced by the motivation for sharing the information online.

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KW - Facial expression

KW - GLMM

KW - Personality

KW - Social media

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DO - 10.1109/DSAA.2018.00086

M3 - Conference contribution

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SN - 978-1-5386-5091-2

SP - 665

EP - 672

BT - Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018

A2 - Eliassi-Rad, Tina

A2 - Wang, Wei

A2 - Cattuto, Ciro

A2 - Provost, Foster

A2 - Ghani, Rayid

A2 - Bonchi, Francesco

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2018

Y2 - 1 October 2018 through 4 October 2018

ER -

Dupre D, McKeown G, Andelic N, Morrison G. Willingness to share emotion information on social media: Influence of personality and social context. In Eliassi-Rad T, Wang W, Cattuto C, Provost F, Ghani R, Bonchi F, editors, Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 665-672. 8631497 doi: 10.1109/DSAA.2018.00086

Willingness to share emotion information on social media: Influence of personality and social context

Abstract

Conference

Keywords

ASJC Scopus subject areas

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