Exploring Social Media Posts for Depression Identification: A Study on Reddit Dataset

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Harshit, Nandigramam Sai, Sahu, Nilesh Kumar, Lone, Haroon R.
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Questionnaires: Video Analysis for Social Anxiety Detection
by: Sahu, Nilesh Kumar, et al.
Published: (2024)

Causal Effects of Trigger Words in Social Media Discussions: A Large-Scale Case Study about UK Politics on Reddit
by: Antypas, Dimosthenis, et al.
Published: (2024)

News Source Credibility Assessment: A Reddit Case Study
by: Amini, Arash, et al.
Published: (2024)

IndRegBias: A Dataset for Studying Indian Regional Biases in English and Code-Mixed Social Media Comments
by: Panda, Debasmita, et al.
Published: (2026)

Analyzing Toxicity in Deep Conversations: A Reddit Case Study
by: Shankaran, Vigneshwaran, et al.
Published: (2024)

Advancing Minority Stress Detection with Transformers: Insights from the Social Media Datasets
by: Chapagain, Santosh, et al.
Published: (2025)

From Post To Personality: Harnessing LLMs for MBTI Prediction in Social Media
by: Ma, Tian, et al.
Published: (2025)

Longitudinal Sentiment Classification of Reddit Posts
by: Nwaoha, Fabian, et al.
Published: (2024)

Hiding in Plain Sight: Finding MAHA on Reddit
by: Ahmed, Sabit, et al.
Published: (2026)

The Shifting Landscape of Vaccine Discourse: Insights From a Decade of Pre- to Post-COVID-19 Vaccine Posts on Social Media
by: Gyawali, Nikesh, et al.
Published: (2025)

When Do LLMs Generate Realistic Social Networks? A Multi-Dimensional Study of Culture, Language, Scale, and Method
by: Kilaru, Sai Hemanth, et al.
Published: (2026)

Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms
by: Oak, Rajvardhan, et al.
Published: (2025)

Detection of Opioid Users from Reddit Posts via an Attention-based Bidirectional Recurrent Neural Network
by: Wang, Yuchen, et al.
Published: (2024)

Quantifying Extreme Opinions on Reddit Amidst the 2023 Israeli-Palestinian Conflict
by: Guerra, Alessio, et al.
Published: (2024)

Structure and dynamics of growing networks of Reddit threads
by: Goglia, Diletta, et al.
Published: (2024)

Sympathy over Polarization: A Computational Discourse Analysis of Social Media Posts about the July 2024 Trump Assassination Attempt
by: Zeng, Qingcheng, et al.
Published: (2025)

Large-Scale Analysis of Online Questions Related to Opioid Use Disorder on Reddit
by: Laud, Tanmay, et al.
Published: (2025)

Emotion-Aware Clickbait Attack in Social Media
by: Hasan, Syed Mhamudul, et al.
Published: (2026)

MMT: A Multilingual and Multi-Topic Indian Social Media Dataset
by: Dalal, Dwip, et al.
Published: (2023)

Navigating the Post-API Dilemma | Search Engine Results Pages Present a Biased View of Social Media Data
by: Poudel, Amrit, et al.
Published: (2024)

Early Detection of Mental Health Issues Using Social Media Posts
by: Saeed, Qasim Bin, et al.
Published: (2025)

BrainStorm @ iREL at #SMM4H 2024: Leveraging Translation and Topical Embeddings for Annotation Detection in Tweets
by: Chaudhary, Manav, et al.
Published: (2024)

Who Shares Fake News? Uncovering Insights from Social Media Users' Post Histories
by: Schoenmueller, Verena, et al.
Published: (2022)

A Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media Streams
by: Burdisso, Sergio G., et al.
Published: (2019)

Social Convos: Capturing Agendas and Emotions on Social Media
by: Bhaumik, Ankita, et al.
Published: (2024)

Muse-it: A Tool for Analyzing Music Discourse on Reddit
by: Agarwala, Jatin, et al.
Published: (2025)

Post-hoc Study of Climate Microtargeting on Social Media Ads with LLMs: Thematic Insights and Fairness Evaluation
by: Islam, Tunazzina, et al.
Published: (2024)

Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary Tasks
by: Villegas, Danae Sánchez, et al.
Published: (2023)

Tales of the 2025 Los Angeles Fire: Hotwash for Public Health Concerns in Reddit via LLM-Enhanced Topic Modeling
by: Zhou, Sulong, et al.
Published: (2025)

SocialPET: Socially Informed Pattern Exploiting Training for Few-Shot Stance Detection in Social Media
by: Khiabani, Parisa Jamadi, et al.
Published: (2024)

A Survey of Stance Detection on Social Media: New Directions and Perspectives
by: Zhang, Bowen, et al.
Published: (2024)

Predicting stock prices with ChatGPT-annotated Reddit sentiment
by: Kmak, Mateusz, et al.
Published: (2025)

An Offline Mobile Conversational Agent for Mental Health Support: Learning from Emotional Dialogues and Psychological Texts with Student-Centered Evaluation
by: A, Vimaleswar, et al.
Published: (2025)

"Whose Side Are You On?" Estimating Ideology of Political and News Content Using Large Language Models and Few-shot Demonstration Selection
by: Haroon, Muhammad, et al.
Published: (2025)

A Comparative Analysis of Transformer and LSTM Models for Detecting Suicidal Ideation on Reddit
by: Hasan, Khalid, et al.
Published: (2024)

HateMirage: An Explainable Multi-Dimensional Dataset for Decoding Faux Hate and Subtle Online Abuse
by: Kasu, Sai Kartheek Reddy, et al.
Published: (2026)

Rumor Detection on Social Media with Temporal Propagation Structure Optimization
by: Peng, Xingyu, et al.
Published: (2024)

Robust Stance Detection: Understanding Public Perceptions in Social Media
by: Kim, Nayoung, et al.
Published: (2023)

Content Fuzzing for Escaping Information Cocoons on Digital Social Media
by: He, Yifeng, et al.
Published: (2026)

StopHC: A Harmful Content Detection and Mitigation Architecture for Social Media Platforms
by: Truică, Ciprian-Octavian, et al.
Published: (2024)