{"id":"https://openalex.org/W4231258178","doi":"https://doi.org/10.1109/asonam.2016.7752287","title":"A new approach to bot detection: Striking the balance between precision and recall","display_name":"A new approach to bot detection: Striking the balance between precision and recall","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W4231258178","doi":"https://doi.org/10.1109/asonam.2016.7752287"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2016.7752287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2016.7752287","pdf_url":null,"source":{"id":"https://openalex.org/S4363608003","display_name":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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/A5002709735","display_name":"Fred Morstatter","orcid":"https://orcid.org/0000-0002-0247-4328"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fred Morstatter","raw_affiliation_strings":["Arizona State University, Tempe, Arizona"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, Arizona","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101525811","display_name":"Liang Wu","orcid":"https://orcid.org/0000-0002-2336-7695"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Wu","raw_affiliation_strings":["Arizona State University, Tempe, Arizona"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, Arizona","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059617648","display_name":"Tahora H. Nazer","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tahora H. Nazer","raw_affiliation_strings":["Arizona State University, Tempe, Arizona"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, Arizona","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085927300","display_name":"Kathleen M. Carley","orcid":"https://orcid.org/0000-0002-6356-0238"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kathleen M. Carley","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, Pennsylvania","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338946","display_name":"Huan Liu","orcid":"https://orcid.org/0000-0002-3264-7904"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huan Liu","raw_affiliation_strings":["Arizona State University, Tempe, Arizona"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, Arizona","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":147,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"533","last_page":"540"},"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":0.9994999766349792,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.998199999332428,"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/popularity","display_name":"Popularity","score":0.8727250099182129},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.814599871635437},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.7943599224090576},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.7129132747650146},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6606487035751343},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6480668783187866},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.3713489770889282},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34729325771331787},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3450419306755066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3125781714916229},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2844824492931366}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.8727250099182129},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.814599871635437},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.7943599224090576},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.7129132747650146},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6606487035751343},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6480668783187866},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3713489770889282},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34729325771331787},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3450419306755066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3125781714916229},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2844824492931366},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam.2016.7752287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2016.7752287","pdf_url":null,"source":{"id":"https://openalex.org/S4363608003","display_name":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","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":"2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W44892085","https://openalex.org/W176212337","https://openalex.org/W202178741","https://openalex.org/W1437423056","https://openalex.org/W1481472066","https://openalex.org/W1517046895","https://openalex.org/W1774848501","https://openalex.org/W1969568357","https://openalex.org/W1988790447","https://openalex.org/W1992654648","https://openalex.org/W1992685726","https://openalex.org/W2082891496","https://openalex.org/W2086604067","https://openalex.org/W2098395374","https://openalex.org/W2100974526","https://openalex.org/W2112063328","https://openalex.org/W2134385885","https://openalex.org/W2157826538","https://openalex.org/W2165701072","https://openalex.org/W2218244741","https://openalex.org/W2236870451","https://openalex.org/W2290443121","https://openalex.org/W6601789978","https://openalex.org/W6607169468","https://openalex.org/W6608114916","https://openalex.org/W6628600657","https://openalex.org/W6689807881"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2093123876","https://openalex.org/W4388192780","https://openalex.org/W2217604302","https://openalex.org/W2358294942","https://openalex.org/W4367460280"],"abstract_inverted_index":{"The":[0],"presence":[1],"of":[2,10,16,31,55,64,103],"bots":[3,25,35,59,117,127,165],"has":[4,19],"been":[5,37],"felt":[6,21],"in":[7,80,115,137],"many":[8,126],"aspects":[9],"social":[11,17,69,154],"media.":[12,70],"Twitter,":[13],"one":[14],"example":[15],"media,":[18],"especially":[20],"the":[22,52,62,101,116,135],"impact,":[23],"with":[24],"accounting":[26],"for":[27,39],"a":[28,131,141,167],"large":[29],"portion":[30],"its":[32],"users.":[33],"These":[34],"have":[36,78],"used":[38],"malicious":[40],"tasks":[41],"such":[42],"as":[43],"spreading":[44],"false":[45],"information":[46],"about":[47],"political":[48],"candidates":[49],"and":[50,76,157],"inflating":[51],"perceived":[53],"popularity":[54],"celebrities.":[56],"Furthermore,":[57],"these":[58,109],"can":[60],"change":[61],"results":[63],"common":[65],"analyses":[66],"performed":[67],"on":[68,94,151],"It":[71],"is":[72],"important":[73],"that":[74,107,159],"researchers":[75],"practitioners":[77],"tools":[79],"their":[81,98],"arsenal":[82],"to":[83,88,96,143],"remove":[84,89],"them.":[85],"Approaches":[86],"exist":[87],"bots,":[90,139],"however":[91],"they":[92,118,120],"focus":[93],"precision":[95],"evaluate":[97,148],"model":[99,132,150],"at":[100],"cost":[102],"recall.":[104],"This":[105],"means":[106],"while":[108],"approaches":[110],"are":[111],"almost":[112],"always":[113],"correct":[114],"delete,":[119],"ultimately":[121],"delete":[122,144],"very":[123],"few,":[124],"thus":[125],"remain.":[128],"We":[129,147],"propose":[130],"which":[133],"increases":[134],"recall":[136],"detecting":[138],"allowing":[140],"researcher":[142],"more":[145,164],"bots.":[146],"our":[149,160],"two":[152],"real-world":[153],"media":[155],"datasets":[156],"show":[158],"detection":[161],"algorithm":[162],"removes":[163],"from":[166],"dataset":[168],"than":[169],"current":[170],"approaches.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":34},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
