{"id":"https://openalex.org/W2760103715","doi":"https://doi.org/10.18653/v1/d17-1117","title":"Deeper Attention to Abusive User Content Moderation","display_name":"Deeper Attention to Abusive User Content Moderation","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2760103715","doi":"https://doi.org/10.18653/v1/d17-1117","mag":"2760103715"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d17-1117","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1117","pdf_url":"https://www.aclweb.org/anthology/D17-1117.pdf","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 2017 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D17-1117.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033894687","display_name":"John Pavlopoulos","orcid":"https://orcid.org/0000-0001-9188-7425"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"John Pavlopoulos","raw_affiliation_strings":["Straintek, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Straintek, Athens, Greece","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016618602","display_name":"Prodromos Malakasiotis","orcid":"https://orcid.org/0009-0008-0055-5598"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prodromos Malakasiotis","raw_affiliation_strings":["Straintek, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Straintek, Athens, Greece","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069270736","display_name":"Ion Androutsopoulos","orcid":"https://orcid.org/0009-0000-2969-0509"},"institutions":[{"id":"https://openalex.org/I73142707","display_name":"Athens University of Economics and Business","ror":"https://ror.org/03s262162","country_code":"GR","type":"education","lineage":["https://openalex.org/I73142707"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ion Androutsopoulos","raw_affiliation_strings":["Athens University of Economics and Business, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Athens University of Economics and Business, Greece","institution_ids":["https://openalex.org/I73142707"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.9464,"has_fulltext":true,"cited_by_count":144,"citation_normalized_percentile":{"value":0.98611061,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1125","last_page":"1135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9998000264167786,"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":0.9998000264167786,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9878000020980835,"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"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8339347243309021},{"id":"https://openalex.org/keywords/moderation","display_name":"Moderation","score":0.7247028350830078},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6569762229919434},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5944238901138306},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5576902627944946},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.524238646030426},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5157580375671387},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.508688747882843},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.42618632316589355},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28334566950798035},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08765202760696411}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8339347243309021},{"id":"https://openalex.org/C93225998","wikidata":"https://www.wikidata.org/wiki/Q1941972","display_name":"Moderation","level":2,"score":0.7247028350830078},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6569762229919434},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5944238901138306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5576902627944946},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.524238646030426},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5157580375671387},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.508688747882843},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.42618632316589355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28334566950798035},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08765202760696411},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d17-1117","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1117","pdf_url":"https://www.aclweb.org/anthology/D17-1117.pdf","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 2017 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d17-1117","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d17-1117","pdf_url":"https://www.aclweb.org/anthology/D17-1117.pdf","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 2017 Conference on Empirical Methods in Natural\n          Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.47999998927116394,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2760103715.pdf","grobid_xml":"https://content.openalex.org/works/W2760103715.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W78136081","https://openalex.org/W1071251684","https://openalex.org/W1514535095","https://openalex.org/W1522301498","https://openalex.org/W1533861849","https://openalex.org/W1614298861","https://openalex.org/W1832693441","https://openalex.org/W1899794420","https://openalex.org/W1902237438","https://openalex.org/W1904365287","https://openalex.org/W2053154970","https://openalex.org/W2101609803","https://openalex.org/W2119769989","https://openalex.org/W2130942839","https://openalex.org/W2131744502","https://openalex.org/W2131774270","https://openalex.org/W2133564696","https://openalex.org/W2138969065","https://openalex.org/W2141599568","https://openalex.org/W2145162117","https://openalex.org/W2147527908","https://openalex.org/W2153222072","https://openalex.org/W2156202195","https://openalex.org/W2157331557","https://openalex.org/W2163544880","https://openalex.org/W2170240176","https://openalex.org/W2250539671","https://openalex.org/W2340954483","https://openalex.org/W2401080074","https://openalex.org/W2401383085","https://openalex.org/W2470673105","https://openalex.org/W2473555522","https://openalex.org/W2540646130","https://openalex.org/W2557283755","https://openalex.org/W2564933006","https://openalex.org/W2606089314","https://openalex.org/W2949089361","https://openalex.org/W2949547296","https://openalex.org/W2950577311","https://openalex.org/W2951527505","https://openalex.org/W2951990284","https://openalex.org/W2962855291","https://openalex.org/W2963012544","https://openalex.org/W2963042536","https://openalex.org/W2963083845","https://openalex.org/W2963177662","https://openalex.org/W2964121744","https://openalex.org/W2964308564","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2740268725","https://openalex.org/W3093710306","https://openalex.org/W750217911","https://openalex.org/W4206949499","https://openalex.org/W2296969234","https://openalex.org/W4226254121","https://openalex.org/W4388229525","https://openalex.org/W131533274","https://openalex.org/W4313163826","https://openalex.org/W1517021018"],"abstract_inverted_index":{"Experimenting":[0],"with":[1,49],"a":[2,10,58,65],"new":[3],"dataset":[4,16],"of":[5,17,36,77],"1.6M":[6],"user":[7],"comments":[8],"from":[9],"news":[11],"portal":[12],"and":[13,64,81,102],"an":[14,26,46],"existing":[15],"115K":[18],"Wikipedia":[19],"talk":[20],"page":[21],"comments,":[22],"we":[23],"show":[24],"that":[25],"RNN":[27,79],"operating":[28,60],"on":[29,61],"word":[30,52,62],"embeddings":[31],"outpeforms":[32],"the":[33,37,75,78,94],"previous":[34],"state":[35],"art":[38],"in":[39,93],"moderation,":[40],"which":[41],"used":[42],"logistic":[43],"regression":[44],"or":[45,51],"MLP":[47],"classifier":[48],"character":[50],"n-grams.":[53],"We":[54,97],"also":[55,83],"compare":[56],"against":[57],"CNN":[59],"embeddings,":[63],"word-list":[66],"baseline.":[67],"A":[68],"novel,":[69],"deep,":[70],"classificationspecific":[71],"attention":[72],"mechanism":[73],"improves":[74],"performance":[76],"further,":[80],"can":[82],"highlight":[84],"suspicious":[85],"words":[86,92],"for":[87],"free,":[88],"without":[89],"including":[90],"highlighted":[91],"training":[95],"data.":[96],"consider":[98],"both":[99],"fully":[100],"automatic":[101],"semi-automatic":[103],"moderation.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":39},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}