{"id":"https://openalex.org/W7125611929","doi":"https://doi.org/10.1109/metroxraine66377.2025.11340109","title":"AI-based Detection of Negative Digital Acts: The Case of Cyberaggression","display_name":"AI-based Detection of Negative Digital Acts: The Case of Cyberaggression","publication_year":2025,"publication_date":"2025-10-22","ids":{"openalex":"https://openalex.org/W7125611929","doi":"https://doi.org/10.1109/metroxraine66377.2025.11340109"},"language":null,"primary_location":{"id":"doi:10.1109/metroxraine66377.2025.11340109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine66377.2025.11340109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","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/A5016258352","display_name":"Alessia Monaco","orcid":"https://orcid.org/0000-0002-7484-3321"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessia Monaco","raw_affiliation_strings":["University of Bari,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bari,Department of Computer Science","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099986253","display_name":"Fabrizia Devito","orcid":"https://orcid.org/0009-0001-3297-2491"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabrizia Devito","raw_affiliation_strings":["University of Bari,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bari,Department of Computer Science","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5094034369","display_name":"Luca Musti","orcid":"https://orcid.org/0009-0008-8337-1275"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Musti","raw_affiliation_strings":["VANTIA Srl, University of Bari"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VANTIA Srl, University of Bari","institution_ids":["https://openalex.org/I5561750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5561750"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.79607023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"73","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9805999994277954,"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":0.9805999994277954,"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":0.0035000001080334187,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.002300000051036477,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6948000192642212},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6015999913215637},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5916000008583069},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4952000081539154},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43529999256134033},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43479999899864197},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.39399999380111694}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6948000192642212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6937999725341797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6280999779701233},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6015999913215637},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5916000008583069},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5771999955177307},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4952000081539154},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43529999256134033},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43479999899864197},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.39399999380111694},{"id":"https://openalex.org/C2779405079","wikidata":"https://www.wikidata.org/wiki/Q356040","display_name":"Jigsaw","level":2,"score":0.3928999900817871},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.334199994802475},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3133000135421753},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.3091999888420105},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29440000653266907},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2653000056743622}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/metroxraine66377.2025.11340109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroxraine66377.2025.11340109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","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":0.4266904592514038}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2026090208","https://openalex.org/W2033087746","https://openalex.org/W2099813784","https://openalex.org/W2168115797","https://openalex.org/W2980963255","https://openalex.org/W2995292477","https://openalex.org/W3161834781","https://openalex.org/W4213055146","https://openalex.org/W4213341776","https://openalex.org/W4280508117","https://openalex.org/W4313342733","https://openalex.org/W4320496525","https://openalex.org/W4382632002","https://openalex.org/W4386656982","https://openalex.org/W4404978159","https://openalex.org/W4407979324"],"related_works":[],"abstract_inverted_index":{"Cyberbullying":[0],"and":[1,14,47,61,83,89,107,119],"Cyberaggression":[2,27],"represent":[3],"a":[4,48,85,94],"real-world":[5],"concern":[6],"due":[7],"to":[8,71],"the":[9,24,35,73,103,108,114,123],"negative":[10],"impact":[11],"on":[12,20,29],"individuals":[13],"society.":[15],"This":[16],"study":[17,69],"is":[18,70],"focused":[19],"AI-based":[21],"methods":[22],"for":[23],"detection":[25,104],"of":[26,67,105],"acts":[28],"social":[30],"media":[31],"platforms.":[32],"Two":[33],"datasets,":[34],"Aggressive":[36,75,110],"Italian":[37,44,74,111],"Dataset":[38,76,112],"(AID),":[39],"which":[40],"includes":[41],"comments":[42],"from":[43],"public":[45,81],"figures,":[46],"comparative":[49],"dataset,":[50],"Jigsaw":[51],"Toxic":[52],"Comment":[53],"Classification":[54],"Dataset,":[55],"were":[56],"evaluated":[57],"using":[58,93],"Shallow":[59,88],"learning":[60,91],"Deep":[62,90],"Learning":[63],"models.":[64],"The":[65],"aim":[66],"this":[68],"expand":[72],"(AID)":[77],"including":[78],"other":[79],"different":[80],"figures":[82],"perform":[84],"benchmark":[86],"with":[87],"algorithms":[92],"comparison":[95],"dataset.":[96,116],"Results":[97],"show":[98],"that":[99],"feature":[100],"extraction":[101],"improves":[102],"Cyberaggression,":[106],"proposed":[109],"outperforms":[113],"state-of-the-art":[115],"Random":[117],"Forest":[118],"Decision":[120],"Tree":[121],"achieve":[122],"best":[124],"results,":[125],"showing":[126],"their":[127],"effectiveness":[128],"in":[129],"detecting":[130],"Cyberaggression.":[131]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-01-25T00:00:00"}
