{"id":"https://openalex.org/W2809692089","doi":"https://doi.org/10.1109/asonam.2018.8508801","title":"Retweet Us, We will Retweet You: Spotting Collusive Retweeters Involved in Blackmarket Services","display_name":"Retweet Us, We will Retweet You: Spotting Collusive Retweeters Involved in Blackmarket Services","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2809692089","doi":"https://doi.org/10.1109/asonam.2018.8508801","mag":"2809692089"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2018.8508801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5053823068","display_name":"Hridoy Sankar Dutta","orcid":"https://orcid.org/0000-0002-4254-8299"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Hridoy Sankar Dutta","raw_affiliation_strings":["IIIT, Delhi, india"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIIT, Delhi, india","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011029449","display_name":"Aditya Chetan","orcid":"https://orcid.org/0000-0001-7361-6525"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aditya Chetan","raw_affiliation_strings":["IIIT, Delhi, india"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIIT, Delhi, india","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039677232","display_name":"Brihi Joshi","orcid":"https://orcid.org/0000-0001-7607-4119"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Brihi Joshi","raw_affiliation_strings":["IIIT, Delhi, india"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIIT, Delhi, india","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046521217","display_name":"Tanmoy Chakraborty","orcid":"https://orcid.org/0000-0002-0210-0369"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tanmoy Chakraborty","raw_affiliation_strings":["IIIT, Delhi, india"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIIT, Delhi, india","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7732,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.96029405,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"242","last_page":"249"},"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":0.9987000226974487,"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":0.9962999820709229,"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/reputation","display_name":"Reputation","score":0.8232687711715698},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.6418521404266357},{"id":"https://openalex.org/keywords/spotting","display_name":"Spotting","score":0.6011658310890198},{"id":"https://openalex.org/keywords/synchronicity","display_name":"Synchronicity","score":0.5671461820602417},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5321715474128723},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5089302062988281},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4852845370769501},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.4548126459121704},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.4316455125808716},{"id":"https://openalex.org/keywords/collusion","display_name":"Collusion","score":0.41009998321533203},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3948812186717987},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17294365167617798},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09294477105140686}],"concepts":[{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.8232687711715698},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.6418521404266357},{"id":"https://openalex.org/C2779506182","wikidata":"https://www.wikidata.org/wiki/Q7580141","display_name":"Spotting","level":2,"score":0.6011658310890198},{"id":"https://openalex.org/C161394823","wikidata":"https://www.wikidata.org/wiki/Q1121101","display_name":"Synchronicity","level":2,"score":0.5671461820602417},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5321715474128723},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5089302062988281},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4852845370769501},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.4548126459121704},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.4316455125808716},{"id":"https://openalex.org/C2781198186","wikidata":"https://www.wikidata.org/wiki/Q701521","display_name":"Collusion","level":2,"score":0.41009998321533203},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3948812186717987},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17294365167617798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09294477105140686},{"id":"https://openalex.org/C40700","wikidata":"https://www.wikidata.org/wiki/Q1411783","display_name":"Industrial organization","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"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/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam.2018.8508801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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":0.4699999988079071,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W9223698","https://openalex.org/W146417747","https://openalex.org/W746997338","https://openalex.org/W919122619","https://openalex.org/W1517046895","https://openalex.org/W1815362064","https://openalex.org/W1837843568","https://openalex.org/W1993081839","https://openalex.org/W2011366667","https://openalex.org/W2025310159","https://openalex.org/W2072715695","https://openalex.org/W2098395374","https://openalex.org/W2118422001","https://openalex.org/W2122551442","https://openalex.org/W2168508162","https://openalex.org/W2194080939","https://openalex.org/W2263846226","https://openalex.org/W2396344332","https://openalex.org/W2572911049","https://openalex.org/W2772302578","https://openalex.org/W2963509633","https://openalex.org/W2963987295","https://openalex.org/W3098249847","https://openalex.org/W3125182500","https://openalex.org/W6605889898","https://openalex.org/W6622093035","https://openalex.org/W6624415960","https://openalex.org/W6631157121","https://openalex.org/W6638343385","https://openalex.org/W6648344142","https://openalex.org/W6677866745","https://openalex.org/W6684716366","https://openalex.org/W6711953051","https://openalex.org/W6732024519","https://openalex.org/W6929481427"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W560220919","https://openalex.org/W4253386791","https://openalex.org/W2493643238","https://openalex.org/W2772409069","https://openalex.org/W2495789417","https://openalex.org/W3167834828","https://openalex.org/W2347146170","https://openalex.org/W1527612580","https://openalex.org/W2321388097"],"abstract_inverted_index":{"Twitter":[0,30],"has":[1],"increasingly":[2],"become":[3,141],"a":[4,40,53,110,170,191,208,222,258,273,282],"popular":[5],"platform":[6],"to":[7,17,116,194,244],"share":[8],"news":[9],"and":[10,127,146,174,178,206,218,253,300],"user":[11],"opinion.":[12],"A":[13],"tweet":[14,54,59],"is":[15,36,180],"considered":[16,38],"be":[18],"important":[19],"if":[20],"it":[21],"receives":[22],"high":[23,48],"number":[24,49],"of":[25,50,52,77,80,86,120,143,172,212,214,224,248,261,281,298],"affirmative":[26],"reactions":[27,46],"from":[28,235],"other":[29,136,267],"users":[31,160],"via":[32],"Retweets.":[33],"Retweet":[34],"count":[35],"thus":[37],"as":[39,93],"surrogate":[41],"measure":[42],"for":[43,130],"positive":[44],"crowd-sourced":[45],"-":[47,161],"retweets":[51,108,129],"not":[55],"only":[56],"help":[57],"the":[58,74,78,81,118,124,279,296],"being":[60],"broadcasted,":[61],"but":[62],"also":[63,291],"aid":[64],"in":[65,71,105,109,148,200,288],"making":[66],"its":[67,285],"topic":[68],"trending.":[69],"This":[70],"turn":[72],"bolsters":[73],"social":[75,84,232],"reputation":[76],"author":[79],"tweet.":[82],"Since":[83],"reputation/impact":[85],"users/t":[87],"weets":[88],"influences":[89],"many":[90,215],"decisions":[91],"(such":[92],"promoting":[94],"brands,":[95],"advertisement":[96],"etc.),":[97],"several":[98],"blackmarket":[99,125,144,197,216],"syndicates":[100,145],"have":[101],"actively":[102],"been":[103],"engaged":[104,199],"producing":[106,201],"fake":[107,149,159,202,286],"collusive":[111],"manner.":[112],"Users":[113],"who":[114],"want":[115],"boost":[117],"impact":[119],"their":[121,131,184,231],"tweets":[122,133],"approach":[123],"services,":[126],"gain":[128],"own":[132],"by":[134],"retweeting":[135,176],"customers'":[137],"tweets.":[138],"Thus":[139],"they":[140,162,168],"customers":[142,153,198,213,249],"engage":[147],"activities.":[150],"Interestingly,":[151],"these":[152],"are":[154,163],"neither":[155],"bots,":[156],"nor":[157],"even":[158],"usually":[164],"normal":[165],"human":[166],"beings;":[167],"express":[169],"mix":[171],"organic":[173],"inorganic":[175],"activities,":[177],"there":[179],"no":[181],"synchronicity":[182],"across":[183],"behaviors.":[185],"In":[186],"this":[187],"paper,":[188],"we":[189],"make":[190],"first":[192],"attempt":[193],"investigate":[195],"such":[196],"retweets.":[203],"We":[204,228,238,256,270,290],"collected":[205,292],"annotated":[207],"novel":[209,226],"dataset":[210],"comprising":[211],"services":[217],"characterize":[219],"them":[220],"using":[221],"set":[223],"64":[225],"features.":[227],"show":[229],"how":[230],"behavior":[233],"differs":[234],"genuine":[236,254],"users.":[237,255],"then":[239],"use":[240],"state-of-the-art":[241],"supervised":[242],"models":[243],"detect":[245],"three":[246],"types":[247],"(bots,":[250],"promotional,":[251],"normal)":[252],"achieve":[257],"Macro":[259],"Fl-score":[260],"0.87":[262],"with":[263],"SVM,":[264],"outperforming":[265],"four":[266],"baselines":[268],"significantly.":[269],"further":[271],"design":[272],"browser":[274],"extension,":[275],"SCoRe":[276,299],"which,":[277],"given":[278],"link":[280],"tweet,":[283],"spots":[284],"retweeters":[287],"real-time.":[289],"users'":[293],"feedback":[294],"on":[295],"performance":[297],"obtained":[301],"85%":[302],"accuracy.":[303]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
