{"id":"https://openalex.org/W4249162299","doi":"https://doi.org/10.1109/asonam.2014.6921581","title":"Accurately detecting trolls in Slashdot Zoo via decluttering","display_name":"Accurately detecting trolls in Slashdot Zoo via decluttering","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W4249162299","doi":"https://doi.org/10.1109/asonam.2014.6921581"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2014.6921581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2014.6921581","pdf_url":null,"source":{"id":"https://openalex.org/S4363608209","display_name":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","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/A5056142478","display_name":"Srijan Kumar","orcid":"https://orcid.org/0000-0002-5796-3532"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Srijan Kumar","raw_affiliation_strings":["Dept. of Computer Science & UMIACS, University of Maryland College, Park, MD"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & UMIACS, University of Maryland College, Park, MD","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045206246","display_name":"Francesca Spezzano","orcid":"https://orcid.org/0000-0002-0361-9728"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Francesca Spezzano","raw_affiliation_strings":["Dept. of Computer Science & UMIACS, University of Maryland College, Park, MD"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & UMIACS, University of Maryland College, Park, MD","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038645035","display_name":"V. S. Subrahmanian","orcid":"https://orcid.org/0000-0001-7191-0296"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"V.S. Subrahmanian","raw_affiliation_strings":["Dept. of Computer Science & UMIACS, University of Maryland College, Park, MD"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science & UMIACS, University of Maryland College, Park, MD","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056142478"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":5.0443,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.95758929,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"188","last_page":"195"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":1.0,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9991000294685364,"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":0.7702142000198364},{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.6792869567871094},{"id":"https://openalex.org/keywords/compromise","display_name":"Compromise","score":0.6355922818183899},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6058989763259888},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.551875650882721},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.49859619140625},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.42430996894836426},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.41312193870544434},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4021288752555847},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.29373693466186523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2609533667564392}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7702142000198364},{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.6792869567871094},{"id":"https://openalex.org/C46355384","wikidata":"https://www.wikidata.org/wiki/Q726686","display_name":"Compromise","level":2,"score":0.6355922818183899},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6058989763259888},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.551875650882721},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.49859619140625},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.42430996894836426},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.41312193870544434},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4021288752555847},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.29373693466186523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2609533667564392},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam.2014.6921581","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2014.6921581","pdf_url":null,"source":{"id":"https://openalex.org/S4363608209","display_name":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1939407039","https://openalex.org/W1970913835","https://openalex.org/W1980175398","https://openalex.org/W2024962845","https://openalex.org/W2030291207","https://openalex.org/W2031998113","https://openalex.org/W2066636486","https://openalex.org/W2073415627","https://openalex.org/W2078560136","https://openalex.org/W2101396617","https://openalex.org/W2102914327","https://openalex.org/W2138621811","https://openalex.org/W2142517301","https://openalex.org/W2144780381","https://openalex.org/W2267835966","https://openalex.org/W2782980155","https://openalex.org/W4254761308","https://openalex.org/W4298299405","https://openalex.org/W6693772185","https://openalex.org/W7055128969"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2801622120","https://openalex.org/W2164141394","https://openalex.org/W4240977217","https://openalex.org/W3036524962","https://openalex.org/W1967649051","https://openalex.org/W2962981892","https://openalex.org/W3006103249","https://openalex.org/W2120116197","https://openalex.org/W159653547"],"abstract_inverted_index":{"Online":[0],"social":[1,61,80],"networks":[2],"like":[3],"Slashdot":[4,31,90],"bring":[5],"valuable":[6],"information":[7],"to":[8,54,77],"millions":[9],"of":[10,21,57,96],"users":[11,56],"-":[12],"but":[13],"their":[14,22],"accuracy":[15],"is":[16,102,110],"based":[17],"on":[18,30,67,86,89],"the":[19],"integrity":[20],"user":[23],"base.":[24],"Unfortunately,":[25],"there":[26],"are":[27],"many":[28,78,105],"\u201ctrolls\u201d":[29],"who":[32],"post":[33],"misinformation":[34],"and":[35,108],"compromise":[36],"system":[37],"integrity.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42],"develop":[43],"a":[44,93],"general":[45],"algorithm":[46],"called":[47],"TIA":[48,82],"(short":[49],"for":[50],"Troll":[51],"Identification":[52],"Algorithm)":[53],"classify":[55],"an":[58],"online":[59],"\u201csigned\u201d":[60],"network":[62],"as":[63],"malicious":[64],"(e.g.":[65],"trolls":[66],"Slashdot)":[68],"or":[69],"benign":[70],"(i.e.":[71],"normal":[72],"honest":[73],"users).":[74],"Though":[75],"applicable":[76],"signed":[79],"networks,":[81],"has":[83],"been":[84],"tested":[85],"troll":[87],"detection":[88],"Zoo":[91],"under":[92],"wide":[94],"variety":[95],"parameter":[97],"settings.":[98],"Its":[99],"running":[100],"time":[101],"faster":[103],"than":[104,114],"past":[106],"algorithms":[107],"it":[109],"significantly":[111],"more":[112],"accurate":[113],"existing":[115],"methods.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":6}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
