Dataset Open Access
Low, Daniel M.;
Rumker, Laurie;
Talker, Tanya;
Torous, John;
Cecchi, Guillermo;
Ghosh, Satrajit S.
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rdf:resource="http://www.w3.org/ns/dcat#Dataset"/> <dct:type rdf:resource="http://purl.org/dc/dcmitype/Dataset"/> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/3941387</dct:identifier> <foaf:page rdf:resource="https://zenodo.org/record/3941387"/> <dct:creator> <rdf:Description rdf:about="http://orcid.org/0000-0002-8866-8667"> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <dct:identifier rdf:datatype="http://www.w3.org/2001/XMLSchema#string">0000-0002-8866-8667</dct:identifier> <foaf:name>Low, Daniel M.</foaf:name> <foaf:givenName>Daniel M.</foaf:givenName> <foaf:familyName>Low</foaf:familyName> <org:memberOf> <foaf:Organization> <foaf:name>Harvard Medical School & MIT</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Rumker, Laurie</foaf:name> <foaf:givenName>Laurie</foaf:givenName> <foaf:familyName>Rumker</foaf:familyName> <org:memberOf> <foaf:Organization> <foaf:name>Harvard Medical School</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Talker, Tanya</foaf:name> <foaf:givenName>Tanya</foaf:givenName> <foaf:familyName>Talker</foaf:familyName> <org:memberOf> <foaf:Organization> <foaf:name>Harvard Medical School & MIT Lincoln Labs</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Torous, John</foaf:name> <foaf:givenName>John</foaf:givenName> <foaf:familyName>Torous</foaf:familyName> <org:memberOf> <foaf:Organization> <foaf:name>Beth Israel Deaconess Medical Center, Harvard Medical School</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Cecchi, Guillermo</foaf:name> <foaf:givenName>Guillermo</foaf:givenName> <foaf:familyName>Cecchi</foaf:familyName> <org:memberOf> <foaf:Organization> <foaf:name>IBM</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:creator> <rdf:Description> <rdf:type rdf:resource="http://xmlns.com/foaf/0.1/Agent"/> <foaf:name>Ghosh, Satrajit S.</foaf:name> <foaf:givenName>Satrajit S.</foaf:givenName> <foaf:familyName>Ghosh</foaf:familyName> <org:memberOf> <foaf:Organization> <foaf:name>MIT & Harvard Medical School</foaf:name> </foaf:Organization> </org:memberOf> </rdf:Description> </dct:creator> <dct:title>Reddit Mental Health Dataset</dct:title> <dct:publisher> <foaf:Agent> <foaf:name>Zenodo</foaf:name> </foaf:Agent> </dct:publisher> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2020</dct:issued> <dcat:keyword>Natural Language Processing</dcat:keyword> <dcat:keyword>Mental Health</dcat:keyword> <dcat:keyword>Psychiatry</dcat:keyword> <dcat:keyword>COVID-19</dcat:keyword> <dcat:keyword>Reddit</dcat:keyword> <dcat:keyword>Social Media</dcat:keyword> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2020-07-13</dct:issued> <dct:language rdf:resource="http://publications.europa.eu/resource/authority/language/ENG"/> <owl:sameAs rdf:resource="https://zenodo.org/record/3941387"/> <adms:identifier> <adms:Identifier> <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/3941387</skos:notation> <adms:schemeAgency>url</adms:schemeAgency> </adms:Identifier> </adms:identifier> <owl:sameAs rdf:resource="https://doi.org/10.17605/OSF.IO/7PEYQ"/> <foaf:page rdf:resource="https://doi.org/10.31234/osf.io/xvwcy"/> <owl:sameAs rdf:resource="https://doi.org/10.17605/OSF.IO/7PEYQ"/> <dct:isPartOf rdf:resource="https://zenodo.org/communities/covid-19"/> <dct:isPartOf rdf:resource="https://zenodo.org/communities/medicalnlp"/> <dct:isPartOf rdf:resource="https://zenodo.org/communities/natural-language-processing"/> <dct:isPartOf rdf:resource="https://zenodo.org/communities/zenodo"/> <owl:versionInfo>01</owl:versionInfo> <dct:description><div>&nbsp;</div> <p>&nbsp;</p> <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&nbsp;and included older timeframes to obtain baseline&nbsp;posts before COVID-19.</p> <p><strong>Please cite if you use this dataset:</strong></p> <p>Low, D. M., Rumker, L., Torous, J., Cecchi, G., Ghosh, S. S., &amp; Talkar, T. (2020). Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study.&nbsp;<em>Journal of medical Internet research</em>,&nbsp;<em>22</em>(10), e22635.</p> <pre>@article{low2020natural, title={Natural Language Processing Reveals Vulnerable Mental Health Support Groups and Heightened Health Anxiety on Reddit During COVID-19: Observational Study}, author={Low, Daniel M and Rumker, Laurie and Torous, John and Cecchi, Guillermo and Ghosh, Satrajit S and Talkar, Tanya}, journal={Journal of medical Internet research}, volume={22}, number={10}, pages={e22635}, year={2020}, publisher={JMIR Publications Inc., Toronto, Canada} }</pre> <p><br> <strong>License</strong></p> <p>This dataset is made available under the Public Domain Dedication and License v1.0 whose full text can be found at:&nbsp;<a href="http://www.opendatacommons.org/licenses/pddl/1.0/">http://www.opendatacommons.org/licenses/pddl/1.0/</a></p> <p>It was downloaded using pushshift API. Re-use of this data is subject to Reddit API terms.</p> <p>&nbsp;</p> <p><strong>Reddit Mental Health Dataset</strong></p> <p>Contains posts and text features for the following timeframes from 28 mental health and non-mental health subreddits:</p> <ul> <li><strong>15 specific mental health support groups</strong>&nbsp;(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> <li><strong>2 broad mental health</strong>&nbsp;subreddits (r/mentalhealth, r/COVID19_support)</li> <li><strong>11 non-mental health subreddits</strong>&nbsp;(r/conspiracy, r/divorce, r/fitness, r/guns, r/jokes, r/legaladvice, r/meditation, r/parenting, r/personalfinance, r/relationships, r/teaching).</li> </ul> <p><code>filenames</code>&nbsp;and corresponding timeframes:</p> <ul> <li><code>post:</code>&nbsp;Jan 1 to April 20, 2020 (called &quot;mid-pandemic&quot; in manuscript; r/COVID19_support appears).&nbsp;Unique users: 320,364.&nbsp;</li> <li><code>pre:</code>&nbsp;Dec 2018 to Dec 2019. A full year which provides more data for a baseline of Reddit posts.&nbsp;Unique users: 327,289.</li> <li><code>2019:</code>&nbsp;Jan 1 to April 20, 2019 (r/EDAnonymous appears). A control for seasonal fluctuations to match&nbsp;<code>post</code>&nbsp;data.&nbsp;Unique users: 282,560.</li> <li><code>2018:</code>&nbsp;Jan 1 to April 20, 2018. A control for seasonal fluctuations to match&nbsp;<code>post</code>&nbsp;data.&nbsp;Unique users: 177,089</li> </ul> <p>Unique users across all time windows (pre and 2019 overlap): 826,961.</p> <p>See manuscript Supplementary Materials (https://doi.org/10.31234/osf.io/xvwcy) for more information.</p> <p>Note: if subsampling (e.g., to balance subreddits), we recommend bootstrapping analyses for unbiased results.</p> <p>&nbsp;</p></dct:description> <dct:accessRights rdf:resource="http://publications.europa.eu/resource/authority/access-right/PUBLIC"/> <dct:accessRights> <dct:RightsStatement rdf:about="info:eu-repo/semantics/openAccess"> <rdfs:label>Open Access</rdfs:label> </dct:RightsStatement> </dct:accessRights> <dcat:distribution> <dcat:Distribution> <dct:rights> <dct:RightsStatement rdf:about="http://www.opendefinition.org/licenses/odc-pddl"> <rdfs:label>Open Data Commons Public Domain Dedication and Licence 1.0</rdfs:label> </dct:RightsStatement> </dct:rights> <dcat:accessURL 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