{"id":"https://openalex.org/W2259779547","doi":"https://doi.org/10.1145/2833312.2849567","title":"Automatic detection of cyberbullying on social networks based on bullying features","display_name":"Automatic detection of cyberbullying on social networks based on bullying features","publication_year":2016,"publication_date":"2016-01-04","ids":{"openalex":"https://openalex.org/W2259779547","doi":"https://doi.org/10.1145/2833312.2849567","mag":"2259779547"},"language":"en","primary_location":{"id":"doi:10.1145/2833312.2849567","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2833312.2849567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Distributed Computing and Networking","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/A5101987526","display_name":"Rui Zhao","orcid":"https://orcid.org/0000-0002-9699-9984"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Rui Zhao","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012055679","display_name":"Anna Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Anna Zhou","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066203581","display_name":"Kezhi Mao","orcid":"https://orcid.org/0000-0002-9191-8604"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kezhi Mao","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101987526"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":24.3985,"has_fulltext":false,"cited_by_count":229,"citation_normalized_percentile":{"value":0.99472149,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.996399998664856,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.996399998664856,"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/T10485","display_name":"Bullying, Victimization, and Aggression","score":0.991599977016449,"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/T10260","display_name":"Software Engineering Research","score":0.9301999807357788,"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/computer-science","display_name":"Computer science","score":0.7554417848587036},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6181435585021973},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6008141040802002},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5942714214324951},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5509549379348755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5478999614715576},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5075699090957642},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5005528926849365},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4810341000556946},{"id":"https://openalex.org/keywords/emotion-detection","display_name":"Emotion detection","score":0.42453432083129883},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.4235008656978607},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.20416873693466187},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14208915829658508}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7554417848587036},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6181435585021973},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6008141040802002},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5942714214324951},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5509549379348755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5478999614715576},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5075699090957642},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5005528926849365},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4810341000556946},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.42453432083129883},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.4235008656978607},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.20416873693466187},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14208915829658508},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2833312.2849567","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2833312.2849567","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Distributed Computing and Networking","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W195364088","https://openalex.org/W205930466","https://openalex.org/W1500117362","https://openalex.org/W1530780135","https://openalex.org/W1614298861","https://openalex.org/W1880262756","https://openalex.org/W1956559956","https://openalex.org/W1965667542","https://openalex.org/W2068511562","https://openalex.org/W2086143091","https://openalex.org/W2114770469","https://openalex.org/W2153635508","https://openalex.org/W2158997610","https://openalex.org/W2163623461","https://openalex.org/W2185255779","https://openalex.org/W2209227144","https://openalex.org/W2252278997","https://openalex.org/W2257451327","https://openalex.org/W2604272474","https://openalex.org/W2726506462","https://openalex.org/W2950133940","https://openalex.org/W4231703682","https://openalex.org/W4285719527","https://openalex.org/W6686243715"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W2085599877","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W1964929739","https://openalex.org/W2775171027"],"abstract_inverted_index":{"With":[0],"the":[1,62,119],"increasing":[2],"use":[3],"of":[4,95],"social":[5],"media,":[6],"cyberbullying":[7,85,151],"behaviour":[8],"has":[9,161],"received":[10],"more":[11,13],"and":[12,20,27,35,52,99,113,138,150],"attention.":[14],"Cyberbullying":[15],"may":[16],"cause":[17],"many":[18,58],"serious":[19],"negative":[21],"impacts":[22],"on":[23,48,88,132],"a":[24,79,93,126,133],"person's":[25],"life":[26],"even":[28],"lead":[29],"to":[30,42,84,103,117],"teen":[31],"suicide.":[32],"To":[33],"reduce":[34],"stop":[36],"cyberbullying,":[37],"one":[38],"effective":[39],"solution":[40],"is":[41,136,141],"automatically":[43],"detect":[44],"bullying":[45,72,105],"content":[46],"based":[47],"appropriate":[49],"machine":[50],"learning":[51,81,148],"natural":[53],"language":[54],"processing":[55],"techniques.":[56],"However,":[57],"existing":[59],"approaches":[60],"in":[61,164],"literature":[63],"are":[64,108],"just":[65],"normal":[66],"text":[67,146],"classification":[68],"models":[69,149],"without":[70],"considering":[71],"characteristics.":[73],"In":[74],"this":[75,165],"paper,":[76],"we":[77,91],"propose":[78],"representation":[80,121,147],"framework":[82],"specific":[83],"detection.":[86],"Based":[87],"word":[89],"embeddings,":[90],"expand":[92],"list":[94],"pre-defined":[96],"insulting":[97],"words":[98],"assign":[100],"different":[101],"weights":[102],"obtain":[104],"features,":[106],"which":[107],"then":[109],"concatenated":[110],"with":[111,143],"Bag-of-Words":[112],"latent":[114],"semantic":[115],"features":[116],"form":[118],"final":[120],"before":[122],"feeding":[123],"them":[124],"into":[125],"linear":[127],"SVM":[128],"classifier.":[129],"Experimental":[130],"study":[131],"twitter":[134],"dataset":[135],"conducted,":[137],"our":[139,159],"method":[140,160],"compared":[142],"several":[144],"baseline":[145],"detection":[152],"methods.":[153],"The":[154],"superior":[155],"performance":[156],"achieved":[157],"by":[158],"been":[162],"observed":[163],"study.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":42},{"year":2022,"cited_by_count":29},{"year":2021,"cited_by_count":39},{"year":2020,"cited_by_count":27},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":24},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}