{"id":"https://openalex.org/W4392846225","doi":"https://doi.org/10.1145/3625007.3627500","title":"Hypergraph Text Classification for Mental Health Misleading Advice","display_name":"Hypergraph Text Classification for Mental Health Misleading Advice","publication_year":2023,"publication_date":"2023-11-06","ids":{"openalex":"https://openalex.org/W4392846225","doi":"https://doi.org/10.1145/3625007.3627500"},"language":"en","primary_location":{"id":"doi:10.1145/3625007.3627500","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625007.3627500","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625007.3627500","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3625007.3627500","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057307805","display_name":"Lulwah Alkulaib","orcid":"https://orcid.org/0000-0001-9827-0882"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lulwah Alkulaib","raw_affiliation_strings":["Computer Science Department, Virginia Tech, Falls Church, Virginia, United States"],"raw_orcid":"https://orcid.org/0000-0001-9827-0882","affiliations":[{"raw_affiliation_string":"Computer Science Department, Virginia Tech, Falls Church, Virginia, United States","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054580543","display_name":"Abdulaziz Alhamadani","orcid":"https://orcid.org/0009-0003-4732-5144"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abdulaziz Alhamadani","raw_affiliation_strings":["Computer Science Department, Virginia Tech, Falls Church, Virginia, United States"],"raw_orcid":"https://orcid.org/0009-0003-4732-5144","affiliations":[{"raw_affiliation_string":"Computer Science Department, Virginia Tech, Falls Church, Virginia, United States","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004703367","display_name":"Shailik Sarkar","orcid":"https://orcid.org/0000-0001-6544-2262"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shailik Sarkar","raw_affiliation_strings":["Computer Science Department, Virginia Tech, Falls Church, Virginia, United States"],"raw_orcid":"https://orcid.org/0000-0001-6544-2262","affiliations":[{"raw_affiliation_string":"Computer Science Department, Virginia Tech, Falls Church, Virginia, United States","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038002204","display_name":"Chang\u2010Tien Lu","orcid":"https://orcid.org/0000-0003-3675-0199"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang-Tien Lu","raw_affiliation_strings":["Computer Science Department, VT, Falls Church, Virginia, United States"],"raw_orcid":"https://orcid.org/0000-0003-3675-0199","affiliations":[{"raw_affiliation_string":"Computer Science Department, VT, Falls Church, Virginia, United States","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057307805"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21322696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"522","last_page":"529"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12488","display_name":"Mental Health via Writing","score":0.9969000220298767,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.7710562348365784},{"id":"https://openalex.org/keywords/advice","display_name":"Advice (programming)","score":0.6596083641052246},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5943799614906311},{"id":"https://openalex.org/keywords/mental-health","display_name":"Mental health","score":0.5094583630561829},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.476875364780426},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.421888142824173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.408699631690979},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3265356421470642},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.27388685941696167},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.22650933265686035},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16021201014518738},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.13496950268745422},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08416062593460083}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.7710562348365784},{"id":"https://openalex.org/C2779955035","wikidata":"https://www.wikidata.org/wiki/Q4686785","display_name":"Advice (programming)","level":2,"score":0.6596083641052246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5943799614906311},{"id":"https://openalex.org/C134362201","wikidata":"https://www.wikidata.org/wiki/Q317309","display_name":"Mental health","level":2,"score":0.5094583630561829},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.476875364780426},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.421888142824173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.408699631690979},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3265356421470642},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.27388685941696167},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.22650933265686035},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16021201014518738},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.13496950268745422},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08416062593460083}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3625007.3627500","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625007.3627500","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625007.3627500","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/118490","is_oa":true,"landing_page_url":"https://hdl.handle.net/10919/118490","pdf_url":"https://vtechworks.lib.vt.edu/bitstreams/cd4205ca-09d5-4973-a8f9-0076cdeed486/download","source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1145/3625007.3627500","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625007.3627500","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625007.3627500","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392846225.pdf","grobid_xml":"https://content.openalex.org/works/W4392846225.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W2057313398","https://openalex.org/W2066705378","https://openalex.org/W2170057991","https://openalex.org/W2186482614","https://openalex.org/W2265289447","https://openalex.org/W2541711215","https://openalex.org/W2798352738","https://openalex.org/W2798611956","https://openalex.org/W2892880750","https://openalex.org/W2954864721","https://openalex.org/W2962946486","https://openalex.org/W2964071396","https://openalex.org/W3000155280","https://openalex.org/W3030055324","https://openalex.org/W3036963250","https://openalex.org/W3070920170","https://openalex.org/W3080922200","https://openalex.org/W3092238560","https://openalex.org/W3098829544","https://openalex.org/W3132388075","https://openalex.org/W3143469036","https://openalex.org/W3163314873","https://openalex.org/W3179994474","https://openalex.org/W4206676020","https://openalex.org/W4214710927","https://openalex.org/W4285249824","https://openalex.org/W4288096482","https://openalex.org/W4293144083","https://openalex.org/W4298872063","https://openalex.org/W4312499740","https://openalex.org/W4313312767","https://openalex.org/W4313892675","https://openalex.org/W4313906459","https://openalex.org/W4360765130"],"related_works":["https://openalex.org/W4376608589","https://openalex.org/W3138003926","https://openalex.org/W4300037846","https://openalex.org/W1630514295","https://openalex.org/W1537073411","https://openalex.org/W2963081352","https://openalex.org/W4376608938","https://openalex.org/W4288275998","https://openalex.org/W2472555608","https://openalex.org/W4214498971"],"abstract_inverted_index":{"This":[0],"paper":[1,100,137],"introduces":[2],"HyperMAD,":[3,74],"a":[4,102],"novel":[5],"Hypergraph":[6],"Convolutional":[7],"Network":[8],"model":[9,23],"designed":[10],"for":[11,161],"the":[12,50,71,91,106,122,140,143,158],"multiclass":[13],"classification":[14],"of":[15,37,52,55,73,95,110,121,145],"mental":[16,112,127,168],"health":[17,113,128,169],"advice":[18,114,123],"in":[19,45,124,134,150],"Arabic":[20,111],"tweets.":[21],"The":[22,82,99,136],"distinguishes":[24],"between":[25,43],"misleading":[26,152],"and":[27,60,93,108],"valid":[28],"advice,":[29],"further":[30],"categorizing":[31],"each":[32,96],"tweet":[33],"into":[34],"specific":[35],"classes":[36],"advice.":[38],"HyperMAD":[39,146],"leverages":[40],"high-order":[41],"relations":[42],"words":[44],"short":[46],"texts,":[47],"captured":[48],"through":[49],"definition":[51],"four":[53],"types":[54,109],"hyperedges":[56],"that":[57,118,142],"represent":[58],"local":[59],"global":[61],"contexts":[62],"as":[63,65],"well":[64],"semantic":[66],"similarity.":[67],"Extensive":[68],"experiments":[69],"demonstrate":[70],"effectiveness":[72],"with":[75,139],"results":[76],"outperforming":[77],"those":[78,162],"from":[79],"existing":[80],"baselines.":[81],"study":[83,88,104],"also":[84],"includes":[85],"an":[86],"ablation":[87],"to":[89,126,165],"investigate":[90],"significance":[92],"contribution":[94],"hyperedge":[97],"type.":[98],"presents":[101],"case":[103],"analyzing":[105],"accuracy":[107],"on":[115,130,154],"Twitter,":[116],"revealing":[117],"about":[119],"9%":[120],"response":[125],"expressions":[129],"Twitter":[131],"was":[132],"accurate":[133],"general.":[135],"concludes":[138],"hope":[141],"application":[144],"can":[147],"be":[148],"utilized":[149],"flagging":[151],"responses":[153],"social":[155],"media,":[156],"providing":[157],"correct":[159],"resources":[160],"who":[163],"choose":[164],"share":[166],"their":[167],"struggles":[170],"online.":[171]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}