{"id":"https://openalex.org/W2772050194","doi":"https://doi.org/10.1145/3227609.3227665","title":"Organized Behavior Classification of Tweet Sets using Supervised Learning Methods","display_name":"Organized Behavior Classification of Tweet Sets using Supervised Learning Methods","publication_year":2018,"publication_date":"2018-06-25","ids":{"openalex":"https://openalex.org/W2772050194","doi":"https://doi.org/10.1145/3227609.3227665","mag":"2772050194"},"language":"en","primary_location":{"id":"doi:10.1145/3227609.3227665","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3227609.3227665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1711.10720","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084703242","display_name":"Erdem Be\u011fenilmi\u015f","orcid":null},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Erdem Be\u011fenilmi\u015f","raw_affiliation_strings":["Bogazici University, Istanbul, Turkey","Bogazi\u00e7i University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Bogazici University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]},{"raw_affiliation_string":"Bogazi\u00e7i University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074495136","display_name":"Suzan \u00dcsk\u00fcdarl\u0131","orcid":"https://orcid.org/0000-0002-0106-0182"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Suzan Uskudarli","raw_affiliation_strings":["Bogazici University, Istanbul, Turkey","Bogazi\u00e7i University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Bogazici University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]},{"raw_affiliation_string":"Bogazi\u00e7i University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084703242"],"corresponding_institution_ids":["https://openalex.org/I4405392"],"apc_list":null,"apc_paid":null,"fwci":2.3757,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.90814282,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9993000030517578,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9957000017166138,"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/random-forest","display_name":"Random forest","score":0.8252614140510559},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6605358123779297},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6354692578315735},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6140565872192383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5401334762573242},{"id":"https://openalex.org/keywords/presidential-system","display_name":"Presidential system","score":0.4922241270542145},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4698067307472229},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.45826297998428345},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.41123533248901367},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3573467433452606},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.13219201564788818}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8252614140510559},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6605358123779297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6354692578315735},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6140565872192383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5401334762573242},{"id":"https://openalex.org/C197487636","wikidata":"https://www.wikidata.org/wiki/Q49892","display_name":"Presidential system","level":3,"score":0.4922241270542145},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4698067307472229},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.45826297998428345},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.41123533248901367},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3573467433452606},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.13219201564788818},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3227609.3227665","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3227609.3227665","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1711.10720","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.10720","pdf_url":"https://arxiv.org/pdf/1711.10720","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2772050194","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1711.10720","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1711.10720","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1711.10720","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1711.10720","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1711.10720","pdf_url":"https://arxiv.org/pdf/1711.10720","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2772050194.pdf","grobid_xml":"https://content.openalex.org/works/W2772050194.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W202178741","https://openalex.org/W1680392829","https://openalex.org/W1837843568","https://openalex.org/W1980919569","https://openalex.org/W1995648062","https://openalex.org/W2072715695","https://openalex.org/W2093452207","https://openalex.org/W2247201174","https://openalex.org/W2297112056","https://openalex.org/W2403384564","https://openalex.org/W2476291847","https://openalex.org/W2542459869","https://openalex.org/W2550819555","https://openalex.org/W2947148314","https://openalex.org/W3121824150","https://openalex.org/W3136181620","https://openalex.org/W4298252438"],"related_works":["https://openalex.org/W2962871310","https://openalex.org/W2137520313","https://openalex.org/W3012691788","https://openalex.org/W2049533926","https://openalex.org/W2913137876","https://openalex.org/W3084050002","https://openalex.org/W2535637557","https://openalex.org/W2756994840","https://openalex.org/W3113029042","https://openalex.org/W3037185205","https://openalex.org/W2966877497","https://openalex.org/W1973668723","https://openalex.org/W3202092699","https://openalex.org/W3202173596","https://openalex.org/W3194462780","https://openalex.org/W2768821888","https://openalex.org/W2253491900","https://openalex.org/W2769060408","https://openalex.org/W2921568439","https://openalex.org/W1971004046"],"abstract_inverted_index":{"There":[0],"is":[1,58],"an":[2,75,154],"increasing":[3],"incidence":[4],"in":[5,22,150],"negative":[6],"propaganda":[7],"and":[8,26,30,38,44,121,138,157],"fake":[9],"news,":[10],"which":[11],"has":[12],"recently":[13],"gained":[14],"lots":[15],"of":[16,64,106,118,130],"attention":[17],"during":[18],"the":[19,91,104,128,144],"2016":[20],"elections":[21],"United":[23,27],"States,":[24],"France,":[25],"Kingdom.":[28],"Bots":[29],"hired":[31],"users":[32,51,69],"collaborate":[33],"to":[34,67,78,89,125],"make":[35],"messages":[36],"seen":[37],"persist":[39],"so":[40],"they":[41],"may":[42],"spread":[43],"gain":[45],"support.":[46],"Assuming":[47],"that":[48],"most":[49],"Twitter":[50],"post":[52],"without":[53],"predetermined,":[54],"malicious":[55],"intent,":[56],"there":[57],"a":[59,95],"need":[60],"for":[61,116],"automated":[62,76],"detection":[63,117],"organized":[65,82,119],"behavior":[66,120],"protect":[68],"from":[70],"manipulation.":[71],"This":[72],"work":[73],"proposes":[74],"approach":[77],"classify":[79,90],"tweets":[80,92],"with":[81,99,127,153],"behavior.":[83],"Supervised":[84],"learning":[85],"methods":[86],"are":[87],"used":[88],"by":[93],"using":[94],"training":[96],"data":[97],"set":[98],"850":[100],"records":[101],"based":[102],"on":[103],"analysis":[105],"over":[107],"200":[108],"million":[109],"tweets.":[110],"Our":[111],"model":[112],"gave":[113],"promising":[114],"results":[115,149],"this":[122],"motivated":[123],"us":[124],"proceed":[126],"generation":[129],"two":[131],"more":[132],"classifiers":[133],"such":[134],"as":[135],"[\"political\",":[136],"\"non-political\"]":[137],"[\"pro-Trump\",":[139],"\"pro-Hillary\",\"neither\"].":[140],"In":[141],"each":[142],"cases,":[143],"random":[145],"forest":[146],"algorithm":[147],"consistently":[148],"high":[151],"scores":[152],"average":[155],"accuracy":[156],"f-measure":[158],"above":[159],"0.95.":[160]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-21T08:13:44.787528","created_date":"2022-10-06T00:00:00"}
