Reddit r/teaching Community Sentiment Dataset (Pre/Post COVID)
A Reddit (r/teaching community) dataset of 1,304,575 comments from r/teaching with 5-class sentiment scores, pre/post COVID labels (438,027 pre, 866,548 post), and relational language detection, collected by Cai et al. via Reddit API (2024). Each record contains comment text, post title, post selftext, created_utc, score, reply_count, pandemic_period (0=pre/1=post COVID), predicted_rating (1-5), normalized_sentiment (-1 to +1), contains_relational_word, sentiment_probabilities. 1,304,575 r/teaching comments with fine-grained 5-class sentiment analysis spanning pre/post COVID — enabling longitudinal study of how teaching community discourse and emotional tone shifted during the pandemic. Suitable for community sentiment analysis, COVID-19 discourse shifts, longitudinal NLP, education community research, relational language detection, sentiment classification.
Cite this dataset at
reddit-teaching.echo.directory
Analytics
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Computed over the full corpus.
Record
- Catalog key
reddit-teaching- Authors
- Cai, Yuxuan; Wei, Ertong; Cai, Xintong
- Year
- 2024
- Source paper
- Empathy and redemption: Exploring the narrative transformation of online support for mental health across communities before and after Covid-19
- DOI / arXiv
- 10.1371/journal.pone.0307042
- License
- CC BY 4.0 (CC-BY-4.0)
- Records
- 1,304,575
- Languages
- en
- Collected
- 2018-2022 (2010s, 2020s)
- Tasks
- Rating prediction (regression;
predicted_rating) inferred, Sentiment classification inferred - Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://zenodo.org/records/12736756 link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 2.5 GB across 1 files. Checksums in MANIFEST.json.
Citations
Empathy and redemption: Exploring the narrative transformation of online support for mental health across communities before and after Covid-19
Yuxuan Cai, Ertong Wei, Xintong Cai
Journal Article · PLoS ONE · 2024
Cited by
- Integrating Machine Learning, SHAP Interpretability, and Deep Learning Approaches in the Study of Environmental and Economic Factors: A Case Study of Residential Segregation in Las Vegas
Jingyi Liu, Yuxuan Cai et al. · Land · 2025 · cited 16× - Subjective Perception or the Physical Environment: Which Matters More for Public Area Visitation Thresholds Across Different COVID-19 Pandemic Stages?
Yuxuan Cai, Yong-Ming Huang et al. · Urban Forestry & Urban Greening · 2025 · cited 4× - Health and Environmental Drivers of Urban Park Visitation Inequalities During COVID-19: Evidence from Las Vegas
Zheng Zhu, Shuqi Hu et al. · Urban Science · 2025 · cited 2× - Peer Support in Online Women’s Health Communities: Mixed Methods Formative Analysis of Reddit Discourse
Kimia Tuz Zaman, W. Hasan et al. · JMIR Formative Research · 2025 · cited 1× - Unveiling trauma discourse: narratives, behavior, and support in online communities
S. Appling, Sha-Ni Chen et al. · Academia Mental Health and Well-Being · 2026 · cited 0×
Show all 6
- Navigating social isolation: understanding Zoom-based online support groups through Uses and Gratifications theory
Naishuo Sun, Xinle Jia et al. · Qualitative Research Reports in Communication · 2026 · cited 0×
Citation data from Semantic Scholar, retrieved 2026-10-19.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@article{Cai_2024,
title = {Empathy and redemption: Exploring the narrative transformation of online support for mental health across communities before and after Covid-19},
volume = {19},
issn = {1932-6203},
url = {http://dx.doi.org/10.1371/journal.pone.0307042},
doi = {10.1371/journal.pone.0307042},
number = {7},
journal = {PLOS ONE},
publisher = {Public Library of Science (PLoS)},
author = {Cai, Yuxuan and Wei, Ertong and Cai, Xintong},
editor = {Baker, Rogis},
year = {2024},
month = July,
pages = {e0307042}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Cai, Y., Wei, E., & Cai, X. (2024). Reddit r/teaching Community Sentiment Dataset (Pre/Post COVID) [Data set]. https://doi.org/10.1371/journal.pone.0307042
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Cai, Yuxuan, et al. Reddit r/teaching Community Sentiment Dataset (Pre/Post COVID). 2024, doi.org/10.1371/journal.pone.0307042.