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

Proceedings of the ... International AAAI Conference on Weblogs and Social Media. International AAAI Conference on Weblogs and Social Media Pub Date : 2022-05-31

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

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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 disclosed on Reddit. Our experiments on a dataset of 12,645 Reddit posts resulted in an average accuracy of 65%.

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利用双向长短期记忆对社交媒体上的少数群体压力披露进行分类。

性与性别少数群体（SGM，如同性恋、变性人）由于其被污名化的社会地位，会经历少数群体压力（即由不利社会条件引起的基于身份的压力）。鉴于少数群体压力是了解 SGM 健康不平等的主要框架，研究人员和临床医生需要准确的方法来检测少数群体压力。由于社交媒体对 SGM 人具有重要的发展、从属关系和应对功能，因此社交媒体可能是检测少数群体压力的生态有效渠道。在本文中，我们提出了一种双向长短期记忆（BI-LSTM）网络，用于对 Reddit 上披露的少数群体压力进行分类。我们在一个包含 12,645 个 Reddit 帖子的数据集上进行了实验，结果显示平均准确率为 65%。

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Proceedings of the ... International AAAI Conference on Weblogs and Social Media. International AAAI Conference on Weblogs and Social Media

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