Classifying Minority Stress Disclosure on Social Media with Bidirectional Long Short-Term Memory

Cory J Cascalheira; Shah Muhammad Hamdi; Jillian R Scheer; Koustuv Saha; Soukaina Filali Boubrahimi; Munmun de Choudhury

doi:10.1609/icwsm.v16i1.19390

Classifying Minority Stress Disclosure on Social Media with Bidirectional Long Short-Term Memory

Cory J Cascalheira, Shah Muhammad Hamdi, Jillian R Scheer, Koustuv Saha, Soukaina Filali Boubrahimi, Munmun de Choudhury

Research output: Contribution to journal › Conference article › peer-review

Abstract

Because of their stigmatized social status, sexual and gender minority (SGM; e.g., gay, transgender) people experience minority stress (i.e., identity-based stress arising from adverse social conditions). Given that minority stress is the leading framework for understanding health inequity among SGM people, researchers and clinicians need accurate methods to detect minority stress. Since social media fulfills important developmental, affiliative, and coping functions for SGM people, social media may be an ecologically valid channel for detecting minority stress. In this paper, we propose a bidirectional long short-term memory (BI-LSTM) network for classifying minority stress dis-closed on Reddit. Our experiments on a dataset of 12,645 Reddit posts resulted in an average accuracy of 65%.

Original language	English (US)
Pages (from-to)	1373-1377
Journal	Proceedings of the International AAAI Conference on Web and Social Media
Volume	16
DOIs	https://doi.org/10.1609/icwsm.v16i1.19390
State	Published - May 31 2022
Externally published	Yes

Keywords

Human computer interaction
Qualitative and quantitative studies of social media
social media tools
navigation and visualization
Measuring predictability of real world phenomena based on social media, e.g., spanning politics, finance, and health

Online availability

10.1609/icwsm.v16i1.19390

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title = "Classifying Minority Stress Disclosure on Social Media with Bidirectional Long Short-Term Memory",

abstract = "Because of their stigmatized social status, sexual and gender minority (SGM; e.g., gay, transgender) people experience minority stress (i.e., identity-based stress arising from adverse social conditions). Given that minority stress is the leading framework for understanding health inequity among SGM people, researchers and clinicians need accurate methods to detect minority stress. Since social media fulfills important developmental, affiliative, and coping functions for SGM people, social media may be an ecologically valid channel for detecting minority stress. In this paper, we propose a bidirectional long short-term memory (BI-LSTM) network for classifying minority stress dis-closed on Reddit. Our experiments on a dataset of 12,645 Reddit posts resulted in an average accuracy of 65%. ",

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author = "Cascalheira, {Cory J} and Hamdi, {Shah Muhammad} and Scheer, {Jillian R} and Koustuv Saha and Boubrahimi, {Soukaina Filali} and Choudhury, {Munmun de}",

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month = may,

day = "31",

doi = "10.1609/icwsm.v16i1.19390",

language = "English (US)",

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AU - Cascalheira, Cory J

AU - Hamdi, Shah Muhammad

AU - Scheer, Jillian R

AU - Saha, Koustuv

AU - Boubrahimi, Soukaina Filali

AU - Choudhury, Munmun de

PY - 2022/5/31

Y1 - 2022/5/31

N2 - Because of their stigmatized social status, sexual and gender minority (SGM; e.g., gay, transgender) people experience minority stress (i.e., identity-based stress arising from adverse social conditions). Given that minority stress is the leading framework for understanding health inequity among SGM people, researchers and clinicians need accurate methods to detect minority stress. Since social media fulfills important developmental, affiliative, and coping functions for SGM people, social media may be an ecologically valid channel for detecting minority stress. In this paper, we propose a bidirectional long short-term memory (BI-LSTM) network for classifying minority stress dis-closed on Reddit. Our experiments on a dataset of 12,645 Reddit posts resulted in an average accuracy of 65%.

AB - Because of their stigmatized social status, sexual and gender minority (SGM; e.g., gay, transgender) people experience minority stress (i.e., identity-based stress arising from adverse social conditions). Given that minority stress is the leading framework for understanding health inequity among SGM people, researchers and clinicians need accurate methods to detect minority stress. Since social media fulfills important developmental, affiliative, and coping functions for SGM people, social media may be an ecologically valid channel for detecting minority stress. In this paper, we propose a bidirectional long short-term memory (BI-LSTM) network for classifying minority stress dis-closed on Reddit. Our experiments on a dataset of 12,645 Reddit posts resulted in an average accuracy of 65%.

KW - Human computer interaction

KW - Qualitative and quantitative studies of social media

KW - social media tools

KW - navigation and visualization

KW - Measuring predictability of real world phenomena based on social media, e.g., spanning politics, finance, and health

U2 - 10.1609/icwsm.v16i1.19390

DO - 10.1609/icwsm.v16i1.19390

M3 - Conference article

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EP - 1377

JO - Proceedings of the International AAAI Conference on Web and Social Media

JF - Proceedings of the International AAAI Conference on Web and Social Media

ER -

Classifying Minority Stress Disclosure on Social Media with Bidirectional Long Short-Term Memory

Abstract

Keywords

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