{"id":"https://openalex.org/W2610483642","doi":"https://doi.org/10.1145/3025453.3026018","title":"The Bag of Communities","display_name":"The Bag of Communities","publication_year":2017,"publication_date":"2017-05-02","ids":{"openalex":"https://openalex.org/W2610483642","doi":"https://doi.org/10.1145/3025453.3026018","mag":"2610483642"},"language":"en","primary_location":{"id":"doi:10.1145/3025453.3026018","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3025453.3026018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5069919112","display_name":"Eshwar Chandrasekharan","orcid":"https://orcid.org/0000-0002-7473-1418"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eshwar Chandrasekharan","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010879920","display_name":"Mattia Samory","orcid":"https://orcid.org/0000-0002-4916-8352"},"institutions":[{"id":"https://openalex.org/I138689650","display_name":"University of Padua","ror":"https://ror.org/00240q980","country_code":"IT","type":"education","lineage":["https://openalex.org/I138689650"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mattia Samory","raw_affiliation_strings":["University of Padua, Padua, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Padua, Padua, Italy","institution_ids":["https://openalex.org/I138689650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045216067","display_name":"Anirudh Srinivasan","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anirudh Srinivasan","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024795472","display_name":"\u00c9ric Gilbert","orcid":"https://orcid.org/0000-0002-3047-7059"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric Gilbert","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.0806,"has_fulltext":false,"cited_by_count":156,"citation_normalized_percentile":{"value":0.98812594,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3175","last_page":"3187"},"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":0.9987999796867371,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9969000220298767,"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/computer-science","display_name":"Computer science","score":0.7463008165359497},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.6925487518310547},{"id":"https://openalex.org/keywords/harassment","display_name":"Harassment","score":0.6293275356292725},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6109876036643982},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5997392535209656},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.45144176483154297},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.43694180250167847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37667733430862427},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3321743607521057},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3165021240711212},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10195183753967285},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07907384634017944}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7463008165359497},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.6925487518310547},{"id":"https://openalex.org/C2778976716","wikidata":"https://www.wikidata.org/wiki/Q3240539","display_name":"Harassment","level":2,"score":0.6293275356292725},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6109876036643982},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5997392535209656},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45144176483154297},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43694180250167847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37667733430862427},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3321743607521057},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3165021240711212},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10195183753967285},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07907384634017944},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3025453.3026018","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3025453.3026018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1655754","is_oa":false,"landing_page_url":"https://hdl.handle.net/11573/1655754","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G395629128","display_name":"CAREER: Machine Learning-Based Approaches Toward Combatting Abusive Behavior in Online Communities","funder_award_id":"1553376","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309321","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1491825830","https://openalex.org/W1532325895","https://openalex.org/W1553544680","https://openalex.org/W1588386342","https://openalex.org/W1594207996","https://openalex.org/W1655958391","https://openalex.org/W1660390307","https://openalex.org/W1700659065","https://openalex.org/W1897729025","https://openalex.org/W1989279326","https://openalex.org/W1993240888","https://openalex.org/W1997326096","https://openalex.org/W2019502441","https://openalex.org/W2026812913","https://openalex.org/W2037875487","https://openalex.org/W2053522862","https://openalex.org/W2063248556","https://openalex.org/W2081290104","https://openalex.org/W2090513801","https://openalex.org/W2101234009","https://openalex.org/W2104094955","https://openalex.org/W2120708938","https://openalex.org/W2137119080","https://openalex.org/W2139158525","https://openalex.org/W2140190241","https://openalex.org/W2145162117","https://openalex.org/W2151936673","https://openalex.org/W2152815769","https://openalex.org/W2157163421","https://openalex.org/W2170048845","https://openalex.org/W2178225550","https://openalex.org/W2209227144","https://openalex.org/W2250489604","https://openalex.org/W2250710744","https://openalex.org/W2295008885","https://openalex.org/W2337430557","https://openalex.org/W2396421862","https://openalex.org/W2401080074","https://openalex.org/W2408366251","https://openalex.org/W2570325132","https://openalex.org/W2940974658","https://openalex.org/W2963177662","https://openalex.org/W2997591727","https://openalex.org/W4213009331","https://openalex.org/W4253773297"],"related_works":["https://openalex.org/W2530773950","https://openalex.org/W2042870779","https://openalex.org/W4250048047","https://openalex.org/W2025749788","https://openalex.org/W2502903008","https://openalex.org/W2766055629","https://openalex.org/W2059786516","https://openalex.org/W4280517200","https://openalex.org/W2384634387","https://openalex.org/W2327130486"],"abstract_inverted_index":{"Since":[0],"its":[1],"earliest":[2],"days,":[3],"harassment":[4],"and":[5,22,90,130,138,162],"abuse":[6],"have":[7],"plagued":[8],"the":[9,28,104,115,144],"Internet.":[10],"Recent":[11],"research":[12],"has":[13],"focused":[14],"on":[15,101],"in-domain":[16,133],"methods":[17],"to":[18,30,44,82,150],"detect":[19],"abusive":[20,69,159],"content":[21],"faces":[23],"several":[24],"challenges,":[25],"most":[26],"notably":[27],"need":[29],"obtain":[31],"large":[32],"training":[33,110],"corpora.":[34],"In":[35],"this":[36,46,136],"paper,":[37],"we":[38,77,141],"introduce":[39],"a":[40,72,79,95,153],"novel":[41],"computational":[42],"approach":[43,146],"address":[45],"problem":[47],"called":[48],"Bag":[49],"of":[50,155],"Communities":[51],"(BoC)---a":[52],"technique":[53],"that":[54,94,143],"leverages":[55],"large-scale,":[56],"preexisting":[57],"data":[58],"from":[59,86,114],"other":[60,84],"Internet":[61,74],"communities.":[62],"We":[63,92],"then":[64],"apply":[65],"BoC":[66,96,120,145],"toward":[67],"identifying":[68],"behavior":[70],"within":[71],"major":[73],"community.":[75,117],"Specifically,":[76],"compute":[78],"post's":[80],"similarity":[81],"9":[83],"communities":[85,102,149],"4chan,":[87],"Reddit,":[88],"Voat":[89],"MetaFilter.":[91],"show":[93],"model":[97,121],"can":[98],"be":[99],"used":[100],"\"off":[103],"shelf\"":[105],"with":[106,152,163],"roughly":[107],"75%":[108],"accuracy---no":[109],"examples":[111],"are":[112],"needed":[113],"target":[116],"A":[118],"dynamic":[119],"achieves":[122],"91.18%":[123],"accuracy":[124],"after":[125],"seeing":[126],"100,000":[127],"human-moderated":[128],"posts,":[129],"uniformly":[131],"outperforms":[132],"methods.":[134],"Using":[135],"conceptual":[137],"empirical":[139],"work,":[140],"argue":[142],"may":[147],"allow":[148],"deal":[151],"range":[154],"common":[156],"problems,":[157],"like":[158],"behavior,":[160],"faster":[161],"fewer":[164],"engineering":[165],"resources.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":27},{"year":2020,"cited_by_count":38},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":5}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2017-05-12T00:00:00"}
