{"id":"https://openalex.org/W4406458793","doi":"https://doi.org/10.1109/bigdata62323.2024.10825422","title":"Suicide Risk Assessment on Social Media with Semi-Supervised Learning","display_name":"Suicide Risk Assessment on Social Media with Semi-Supervised Learning","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406458793","doi":"https://doi.org/10.1109/bigdata62323.2024.10825422","pmid":"https://pubmed.ncbi.nlm.nih.gov/39896202"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11786971/pdf/nihms-2051417.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114761037","display_name":"Max Lovitt","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Max Lovitt","raw_affiliation_strings":["Weill Cornell Medicine, New York,Population Health Sciences,New York,USA"],"affiliations":[{"raw_affiliation_string":"Weill Cornell Medicine, New York,Population Health Sciences,New York,USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069247736","display_name":"Hui Ma","orcid":"https://orcid.org/0000-0001-8699-2896"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haotian Ma","raw_affiliation_strings":["Weill Cornell Medicine, New York,Population Health Sciences,New York,USA"],"affiliations":[{"raw_affiliation_string":"Weill Cornell Medicine, New York,Population Health Sciences,New York,USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115591788","display_name":"Song Wang","orcid":"https://orcid.org/0000-0002-4265-6353"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Song Wang","raw_affiliation_strings":["The University of Texas at Austin,Cockrell School of Engineering,Austin,Texas,USA"],"affiliations":[{"raw_affiliation_string":"The University of Texas at Austin,Cockrell School of Engineering,Austin,Texas,USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085113833","display_name":"Yifan Peng","orcid":"https://orcid.org/0000-0001-9309-8331"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifan Peng","raw_affiliation_strings":["Weill Cornell Medicine, New York,Population Health Sciences,New York,USA"],"affiliations":[{"raw_affiliation_string":"Weill Cornell Medicine, New York,Population Health Sciences,New York,USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114761037"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33546598,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2024","issue":null,"first_page":"8541","last_page":"8549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9498999714851379,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10376","display_name":"Suicide and Self-Harm Studies","score":0.9412999749183655,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5862128734588623},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5663106441497803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34772053360939026},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16566309332847595}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5862128734588623},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5663106441497803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34772053360939026},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16566309332847595}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},{"id":"pmid:39896202","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39896202","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11786971","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11786971","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11786971/pdf/nihms-2051417.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc IEEE Int Conf Big Data","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:11786971","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11786971","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11786971/pdf/nihms-2051417.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc IEEE Int Conf Big Data","raw_type":"Text"},"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[{"id":"https://openalex.org/G309361529","display_name":null,"funder_award_id":"2145640","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5921281487","display_name":null,"funder_award_id":"number","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G702335598","display_name":null,"funder_award_id":"OT2OD032581","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406458793.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1583837637","https://openalex.org/W2053154970","https://openalex.org/W2055423828","https://openalex.org/W2101210369","https://openalex.org/W2111316763","https://openalex.org/W2141701219","https://openalex.org/W2803187616","https://openalex.org/W2889391310","https://openalex.org/W2911378332","https://openalex.org/W2944663171","https://openalex.org/W2965373594","https://openalex.org/W2981984641","https://openalex.org/W3046375318","https://openalex.org/W3090352232","https://openalex.org/W3145877401","https://openalex.org/W4225843960","https://openalex.org/W4230030242","https://openalex.org/W4287689466","https://openalex.org/W4303696687","https://openalex.org/W4312127268","https://openalex.org/W4376604957","https://openalex.org/W4378509449","https://openalex.org/W4386081032","https://openalex.org/W4390977035","https://openalex.org/W6751420435","https://openalex.org/W6791366999","https://openalex.org/W6796581206","https://openalex.org/W6847420240","https://openalex.org/W6853251322"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"With":[0],"social":[1,152],"media":[2,153],"communities":[3],"increasingly":[4],"becoming":[5],"places":[6],"where":[7],"suicidal":[8],"individuals":[9],"post":[10],"and":[11,39,63,67],"congregate,":[12],"natural":[13],"language":[14],"processing":[15],"presents":[16],"an":[17],"exciting":[18],"avenue":[19],"for":[20,118],"the":[21,43,70,95,116,126],"development":[22],"of":[23,36,94,106],"automated":[24],"suicide":[25,149],"risk":[26,150],"assessment":[27],"systems.":[28],"However,":[29],"past":[30],"efforts":[31],"suffer":[32],"from":[33,151],"a":[34,56,74,92],"lack":[35],"labeled":[37,45,61,139],"data":[38,52,66,97,134],"class":[40],"imbalances":[41],"within":[42],"available":[44],"data.":[46],"To":[47,84],"accommodate":[48],"this":[49,119],"task's":[50],"imperfect":[51],"landscape,":[53],"we":[54,89,141],"propose":[55],"semi-supervised":[57],"framework":[58],"that":[59,98,123],"leverages":[60],"(n=500)":[62],"unlabeled":[64],"(n=1,500)":[65],"expands":[68],"upon":[69],"self-training":[71],"algorithm":[72],"with":[73],"novel":[75],"pseudo-label":[76,87,107],"acquisition":[77],"process":[78],"designed":[79],"to":[80,113,137,147],"handle":[81],"imbalanced":[82],"datasets.":[83],"further":[85],"ensure":[86],"quality,":[88],"manually":[90],"verify":[91],"subset":[93],"pseudo-labeled":[96,133],"was":[99],"not":[100],"predicted":[101],"unanimously":[102],"across":[103],"multiple":[104],"trials":[105],"generation.":[108],"We":[109],"test":[110],"various":[111],"models":[112],"serve":[114],"as":[115],"backbone":[117],"framework,":[120],"ultimately":[121],"deciding":[122],"RoBERTa":[124],"performs":[125],"best.":[127],"Ultimately,":[128],"by":[129],"leveraging":[130],"partially":[131],"validated":[132],"in":[135],"addition":[136],"ground-truth":[138],"data,":[140],"substantially":[142],"improve":[143],"our":[144],"model's":[145],"ability":[146],"assess":[148],"posts.":[154]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
