Dataset Open Access
Low, Daniel M.;
Rumker, Laurie;
Talker, Tanya;
Torous, John;
Cecchi, Guillermo;
Ghosh, Satrajit S.
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"version_unique_downloads": 1312.0, "unique_views": 1153.0, "views": 1339.0, "version_views": 1339.0, "unique_downloads": 1312.0, "version_unique_views": 1153.0, "volume": 79858787543.0, "version_downloads": 3492.0, "downloads": 3492.0, "version_volume": 79858787543.0 }, "links": { "doi": "https://doi.org/10.17605/OSF.IO/7PEYQ", "latest_html": "https://zenodo.org/record/3941387", "bucket": "https://zenodo.org/api/files/735a90fc-cee6-4595-9861-91a458349a81", "badge": "https://zenodo.org/badge/doi/10.17605/OSF.IO/7PEYQ.svg", "html": "https://zenodo.org/record/3941387", "latest": "https://zenodo.org/api/records/3941387" }, "created": "2020-07-14T00:34:26.315821+00:00", "updated": "2020-10-16T22:39:49.972723+00:00", "conceptrecid": "3941386", "revision": 8, "id": 3941387, "metadata": { "access_right_category": "success", "doi": "10.17605/OSF.IO/7PEYQ", "description": "<div> </div>\n\n<p> </p>\n\n<p>This dataset contains posts from 28 subreddits (15 mental health support groups) from 2018-2020. We used this dataset to understand the impact of COVID-19 on mental health support groups from January to April, 2020 and included older timeframes to obtain baseline posts before COVID-19.</p>\n\n<p><strong>Please cite if you use this dataset:</strong></p>\n\n<p>Low, D. M., Rumker, L., Torous, J., Cecchi, G., Ghosh, S. S., & Talkar, T. (2020). Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study. <em>Journal of medical Internet research</em>, <em>22</em>(10), e22635.</p>\n\n<pre>@article{low2020natural,\n title={Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study},\n author={Low, Daniel M and Rumker, Laurie and Torous, John and Cecchi, Guillermo and Ghosh, Satrajit S and Talkar, Tanya},\n journal={Journal of medical Internet research},\n volume={22},\n number={10},\n pages={e22635},\n year={2020},\n publisher={JMIR Publications Inc., Toronto, Canada}\n}</pre>\n\n<p><br>\n<strong>License</strong></p>\n\n<p>This dataset is made available under the Public Domain Dedication and License v1.0 whose full text can be found at: <a href=\"http://www.opendatacommons.org/licenses/pddl/1.0/\">http://www.opendatacommons.org/licenses/pddl/1.0/</a></p>\n\n<p>It was downloaded using pushshift API. Re-use of this data is subject to Reddit API terms.</p>\n\n<p> </p>\n\n<p><strong>Reddit Mental Health Dataset</strong></p>\n\n<p>Contains posts and text features for the following timeframes from 28 mental health and non-mental health subreddits:</p>\n\n<ul>\n\t<li><strong>15 specific mental health support groups</strong> (r/EDAnonymous, r/addiction, r/alcoholism, r/adhd, r/anxiety, r/autism, r/bipolarreddit, r/bpd, r/depression, r/healthanxiety, r/lonely, r/ptsd, r/schizophrenia, r/socialanxiety, and r/suicidewatch)</li>\n\t<li><strong>2 broad mental health</strong> subreddits (r/mentalhealth, r/COVID19_support)</li>\n\t<li><strong>11 non-mental health subreddits</strong> (r/conspiracy, r/divorce, r/fitness, r/guns, r/jokes, r/legaladvice, r/meditation, r/parenting, r/personalfinance, r/relationships, r/teaching).</li>\n</ul>\n\n<p><code>filenames</code> and corresponding timeframes:</p>\n\n<ul>\n\t<li><code>post:</code> Jan 1 to April 20, 2020 (called "mid-pandemic" in manuscript; r/COVID19_support appears). Unique users: 320,364. </li>\n\t<li><code>pre:</code> Dec 2018 to Dec 2019. A full year which provides more data for a baseline of Reddit posts. Unique users: 327,289.</li>\n\t<li><code>2019:</code> Jan 1 to April 20, 2019 (r/EDAnonymous appears). A control for seasonal fluctuations to match <code>post</code> data. Unique users: 282,560.</li>\n\t<li><code>2018:</code> Jan 1 to April 20, 2018. A control for seasonal fluctuations to match <code>post</code> data. Unique users: 177,089</li>\n</ul>\n\n<p>Unique users across all time windows (pre and 2019 overlap): 826,961.</p>\n\n<p>See manuscript Supplementary Materials (https://doi.org/10.31234/osf.io/xvwcy) for more information.</p>\n\n<p>Note: if subsampling (e.g., to balance subreddits), we recommend bootstrapping analyses for unbiased results.</p>\n\n<p> </p>", "language": "eng", "title": "Reddit Mental Health Dataset", "license": { "id": "ODC-PDDL-1.0" }, "relations": { "version": [ { "count": 1, "index": 0, "parent": { "pid_type": "recid", "pid_value": "3941386" }, "is_last": true, "last_child": { "pid_type": "recid", "pid_value": "3941387" } } ] }, "communities": [ { "id": "covid-19" }, { "id": "medicalnlp" }, { "id": "natural-language-processing" }, { "id": "zenodo" } ], "version": "01", "keywords": [ "Natural Language Processing", "Mental Health", "Psychiatry", "COVID-19", "Reddit", "Social Media" ], "publication_date": "2020-07-13", "creators": [ { "orcid": "0000-0002-8866-8667", "affiliation": "Harvard Medical School & MIT", "name": "Low, Daniel M." }, { "affiliation": "Harvard Medical School", "name": "Rumker, Laurie" }, { "affiliation": "Harvard Medical School & MIT Lincoln Labs", "name": "Talker, Tanya" }, { "affiliation": "Beth Israel Deaconess Medical Center, Harvard Medical School", "name": "Torous, John" }, { "affiliation": "IBM", "name": "Cecchi, Guillermo" }, { "affiliation": "MIT & Harvard Medical School", "name": "Ghosh, Satrajit S." } ], "access_right": "open", "resource_type": { "type": "dataset", "title": "Dataset" }, "related_identifiers": [ { "scheme": "doi", "identifier": "10.17605/OSF.IO/7PEYQ", "relation": "isIdenticalTo", "resource_type": "dataset" }, { "scheme": "doi", "identifier": "10.31234/osf.io/xvwcy", "relation": "isDocumentedBy", "resource_type": "publication-preprint" } ] } }
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