mlsanityData to 7 Oct 2026

LOST: A Mental Health Dataset of Low Self-esteem in Reddit Posts

arXiv 2306.05596 ↗First posted 8 Jun 2023cs.CLcited by 6

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Abstract (arXiv)

Low self-esteem and interpersonal needs (i.e., thwarted belongingness (TB) and perceived burdensomeness (PB)) have a major impact on depression and suicide attempts. Individuals seek social connectedness on social media to boost and alleviate their loneliness. Social media platforms allow people to express their thoughts, experiences, beliefs, and emotions. Prior studies on mental health from social media have focused on symptoms, causes, and disorders. Whereas an initial screening of social media content for interpersonal risk factors and low self-esteem may raise early alerts and assign therapists to at-risk users of mental disturbance. Standardized scales measure self-esteem and interpersonal needs from questions created using psychological theories. In the current research, we introduce a psychology-grounded and expertly annotated dataset, LoST: Low Self esTeem, to study and detect low self-esteem on Reddit. Through an annotation approach involving checks on coherence, correctness, consistency, and reliability, we ensure gold-standard for supervised learning. We present results from different deep language models tested using two data augmentation techniques. Our findings suggest developing a class of language models that infuses psychological and clinical knowledge.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 9 of its 41 references that are in the map. First posted on arXiv 8 Jun 2023.

Builds on

9 of 41 references.

References · 9

  1. 2014On the Properties of Neural Machine Translation: Encoder-Decoder Approachescited by 1,303
  2. 2019EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Taskscited by 800
  3. 2015Improving Neural Machine Translation Models with Monolingual Datacited by 784
  4. 2017Ethical Challenges in Data-Driven Dialogue Systemscited by 86
  5. 2020Distilling the Knowledge of BERT for Sequence-to-Sequence ASRcited by 38
  6. 2022CAMS: An Annotated Corpus for Causal Analysis of Mental Health Issues in Social Media Postscited by 34
  7. 2023An Annotated Dataset for Explainable Interpersonal Risk Factors of Mental Disturbance in Social Media Postscited by 16
  8. 2020Detection and Classification of mental illnesses on social media using RoBERTacited by 8
  9. 2022Process Knowledge-infused Learning for Suicidality Assessment on Social Mediacited by 8

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 3; 2026: 2.

6 papers.