{"id":"https://openalex.org/W3000537391","doi":"https://doi.org/10.1145/3341161.3345332","title":"Topic enhanced word embedding for toxic content detection in Q&amp;A sites","display_name":"Topic enhanced word embedding for toxic content detection in Q&amp;A sites","publication_year":2019,"publication_date":"2019-08-27","ids":{"openalex":"https://openalex.org/W3000537391","doi":"https://doi.org/10.1145/3341161.3345332","mag":"3000537391"},"language":"en","primary_location":{"id":"doi:10.1145/3341161.3345332","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341161.3345332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059031679","display_name":"Do Yeon Kim","orcid":"https://orcid.org/0000-0002-7105-1935"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Do Yeon Kim","raw_affiliation_strings":["Singapore Management University"],"affiliations":[{"raw_affiliation_string":"Singapore Management University","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103886744","display_name":"Xiaohang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xiaohang Li","raw_affiliation_strings":["Singapore Management University"],"affiliations":[{"raw_affiliation_string":"Singapore Management University","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101678067","display_name":"Sheng Wang","orcid":"https://orcid.org/0000-0002-3849-9340"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Sheng Wang","raw_affiliation_strings":["Singapore Management University"],"affiliations":[{"raw_affiliation_string":"Singapore Management University","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023838725","display_name":"Yunying Zhuo","orcid":null},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yunying Zhuo","raw_affiliation_strings":["Singapore Management University"],"affiliations":[{"raw_affiliation_string":"Singapore Management University","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089793938","display_name":"Roy Ka-Wei Lee","orcid":"https://orcid.org/0000-0002-1986-7750"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Roy Ka-Wei Lee","raw_affiliation_strings":["University of Saskatchewan"],"affiliations":[{"raw_affiliation_string":"University of Saskatchewan","institution_ids":["https://openalex.org/I32625721"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5059031679"],"corresponding_institution_ids":["https://openalex.org/I79891267"],"apc_list":null,"apc_paid":null,"fwci":0.5601,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.762013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1064","last_page":"1071"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987000226974487,"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/T10028","display_name":"Topic Modeling","score":0.9987000226974487,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9972000122070312,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/constructive","display_name":"Constructive","score":0.7343795299530029},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7095417976379395},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.6655787229537964},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6632726788520813},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6114379167556763},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.5192887187004089},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.490190327167511},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4396183490753174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41705214977264404},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3902502655982971},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1410251259803772},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1258414387702942},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09267309308052063}],"concepts":[{"id":"https://openalex.org/C2778701210","wikidata":"https://www.wikidata.org/wiki/Q28130034","display_name":"Constructive","level":3,"score":0.7343795299530029},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7095417976379395},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.6655787229537964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6632726788520813},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6114379167556763},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.5192887187004089},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.490190327167511},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4396183490753174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41705214977264404},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3902502655982971},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1410251259803772},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1258414387702942},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09267309308052063},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3341161.3345332","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341161.3345332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W78136081","https://openalex.org/W1071251684","https://openalex.org/W1614298861","https://openalex.org/W1730818938","https://openalex.org/W1814992895","https://openalex.org/W1832693441","https://openalex.org/W1871142974","https://openalex.org/W1880262756","https://openalex.org/W1967011128","https://openalex.org/W2038043464","https://openalex.org/W2042288744","https://openalex.org/W2050914789","https://openalex.org/W2064675550","https://openalex.org/W2064886650","https://openalex.org/W2079735306","https://openalex.org/W2110485445","https://openalex.org/W2153579005","https://openalex.org/W2158899491","https://openalex.org/W2238728730","https://openalex.org/W2250539671","https://openalex.org/W2251044566","https://openalex.org/W2265846598","https://openalex.org/W2282593405","https://openalex.org/W2284289336","https://openalex.org/W2407776548","https://openalex.org/W2464821035","https://openalex.org/W2516087440","https://openalex.org/W2521114121","https://openalex.org/W2556888587","https://openalex.org/W2731449405","https://openalex.org/W2740168486","https://openalex.org/W2741065173","https://openalex.org/W2780932362","https://openalex.org/W2937423263","https://openalex.org/W2962772361","https://openalex.org/W2963035145","https://openalex.org/W2963153906","https://openalex.org/W2997617958","https://openalex.org/W3103061166","https://openalex.org/W3105625590","https://openalex.org/W6603174692","https://openalex.org/W6627114547","https://openalex.org/W6663076855","https://openalex.org/W6689951360","https://openalex.org/W6691431627","https://openalex.org/W6691444529","https://openalex.org/W6695662000","https://openalex.org/W6785584175"],"related_works":["https://openalex.org/W947140380","https://openalex.org/W4286432911","https://openalex.org/W4230884544","https://openalex.org/W4245453790","https://openalex.org/W3194985222","https://openalex.org/W3216571906","https://openalex.org/W4214830338","https://openalex.org/W2518587255","https://openalex.org/W4287599800","https://openalex.org/W4385432812"],"abstract_inverted_index":{"Increasingly,":[0],"users":[1],"are":[2,22],"adopting":[3],"community":[4],"question-and-answer":[5],"(Q&A)":[6],"sites":[7,21],"to":[8,25,97,111],"exchange":[9],"information.":[10],"Detecting":[11],"and":[12,15,29,87,121,129],"eliminating":[13],"toxic":[14,47,102],"divisive":[16],"content":[17,48,103],"in":[18,49,101],"these":[19],"Q&A":[20,50,85],"paramount":[23],"tasks":[24],"ensure":[26],"a":[27,57,79,132],"safe":[28],"constructive":[30],"environment":[31],"for":[32,69],"the":[33,90,113,116],"users.":[34],"Insincere":[35],"question,":[36],"which":[37],"is":[38,43,95],"founded":[39],"upon":[40],"false":[41],"premises,":[42],"one":[44],"type":[45],"of":[46,115,135],"sites.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55,122],"proposed":[56,76],"novel":[58],"deep":[59],"learning":[60],"framework":[61,77],"enhanced":[62,92],"pre-trained":[63],"word":[64,93],"embeddings":[65],"with":[66],"topical":[67],"information":[68],"insincere":[70,117,136],"question":[71],"classification.":[72,104],"We":[73],"evaluated":[74],"our":[75],"on":[78,119,126],"large":[80],"real-world":[81],"dataset":[82],"from":[83],"Quora":[84],"site":[86],"showed":[88],"that":[89,124],"topically":[91],"embedding":[94],"able":[96],"achieve":[98],"better":[99],"results":[100],"An":[105],"empirical":[106],"study":[107],"was":[108],"also":[109],"conducted":[110],"analyze":[112],"topics":[114,125],"questions":[118],"Quora,":[120],"found":[123],"\"religion\",":[127],"\"gender\"":[128],"\"politics\"":[130],"has":[131],"higher":[133],"proportion":[134],"questions.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
