{"id":"https://openalex.org/W2369596206","doi":"https://doi.org/10.1145/3011871","title":"Tracking Illicit Drug Dealing and Abuse on Instagram Using Multimodal Analysis","display_name":"Tracking Illicit Drug Dealing and Abuse on Instagram Using Multimodal Analysis","publication_year":2017,"publication_date":"2017-02-24","ids":{"openalex":"https://openalex.org/W2369596206","doi":"https://doi.org/10.1145/3011871","mag":"2369596206"},"language":"en","primary_location":{"id":"doi:10.1145/3011871","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3011871","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-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/A5091064356","display_name":"Xitong Yang","orcid":"https://orcid.org/0000-0003-4372-241X"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xitong Yang","raw_affiliation_strings":["University of Rochester, Rochester, NY"],"affiliations":[{"raw_affiliation_string":"University of Rochester, Rochester, NY","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055469774","display_name":"Jiebo Luo","orcid":"https://orcid.org/0000-0002-4516-9729"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiebo Luo","raw_affiliation_strings":["University of Rochester, Rochester, NY"],"affiliations":[{"raw_affiliation_string":"University of Rochester, Rochester, NY","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091064356"],"corresponding_institution_ids":["https://openalex.org/I5388228"],"apc_list":null,"apc_paid":null,"fwci":11.0895,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.98258928,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"8","issue":"4","first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9973000288009644,"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":0.9973000288009644,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.994700014591217,"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/T10028","display_name":"Topic Modeling","score":0.9916999936103821,"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":0.8215669989585876},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.682028591632843},{"id":"https://openalex.org/keywords/law-enforcement","display_name":"Law enforcement","score":0.6388269066810608},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6140561699867249},{"id":"https://openalex.org/keywords/enforcement","display_name":"Enforcement","score":0.516584038734436},{"id":"https://openalex.org/keywords/illicit-drug","display_name":"Illicit drug","score":0.507361114025116},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5022494792938232},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4677225351333618},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.46305274963378906},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4029199481010437},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40274351835250854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3747261166572571},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2990158498287201},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.11963215470314026},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08825284242630005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8215669989585876},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.682028591632843},{"id":"https://openalex.org/C2780262971","wikidata":"https://www.wikidata.org/wiki/Q44554","display_name":"Law enforcement","level":2,"score":0.6388269066810608},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6140561699867249},{"id":"https://openalex.org/C2779777834","wikidata":"https://www.wikidata.org/wiki/Q4202277","display_name":"Enforcement","level":2,"score":0.516584038734436},{"id":"https://openalex.org/C3020689752","wikidata":"https://www.wikidata.org/wiki/Q844924","display_name":"Illicit drug","level":3,"score":0.507361114025116},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5022494792938232},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4677225351333618},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.46305274963378906},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4029199481010437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40274351835250854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3747261166572571},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2990158498287201},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.11963215470314026},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08825284242630005},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3011871","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3011871","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1550206324","https://openalex.org/W1871180460","https://openalex.org/W1892382968","https://openalex.org/W1956559956","https://openalex.org/W2097117768","https://openalex.org/W2103117377","https://openalex.org/W2117130368","https://openalex.org/W2124219775","https://openalex.org/W2126332556","https://openalex.org/W2143104527","https://openalex.org/W2169718890","https://openalex.org/W2170563643","https://openalex.org/W2210949885","https://openalex.org/W2238286607","https://openalex.org/W2268305941","https://openalex.org/W2277302289","https://openalex.org/W2547970233","https://openalex.org/W2950919774","https://openalex.org/W2952769242","https://openalex.org/W2963879621","https://openalex.org/W3102322851"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2364921833","https://openalex.org/W2302028273","https://openalex.org/W1525643724","https://openalex.org/W2961085424","https://openalex.org/W2067938758","https://openalex.org/W2382623646","https://openalex.org/W3087771547","https://openalex.org/W2765580017","https://openalex.org/W2058295582"],"abstract_inverted_index":{"Illicit":[0],"drug":[1,22,73],"trade":[2],"via":[3],"social":[4,83,109],"media":[5],"sites,":[6],"especially":[7],"photo-oriented":[8],"Instagram,":[9],"has":[10],"become":[11],"a":[12,19,68],"severe":[13],"problem":[14,57],"in":[15,122],"recent":[16],"years.":[17],"As":[18],"result,":[20],"tracking":[21],"dealing":[23,76],"and":[24,35,47,61,75,94,117,131,137,159],"abuse":[25,74],"on":[26,44,82,108,143],"Instagram":[27,130],"is":[28],"of":[29,58,99,151],"interest":[30],"to":[31,71,90],"law":[32],"enforcement":[33],"agencies":[34],"public":[36],"health":[37],"agencies.":[38],"However,":[39],"traditional":[40],"approaches":[41],"are":[42,120],"based":[43],"manual":[45],"search":[46,133],"browsing":[48],"by":[49,78],"trained":[50],"domain":[51],"experts,":[52],"which":[53],"suffers":[54],"from":[55],"the":[56,96,149],"poor":[59],"scalability":[60,158],"reproducibility.":[62],"In":[63],"this":[64],"article,":[65],"we":[66],"propose":[67],"novel":[69],"approach":[70,86],"detecting":[72],"automatically":[77],"utilizing":[79],"multimodal":[80,106,111],"data":[81,107,146],"media.":[84],"This":[85],"also":[87],"enables":[88],"us":[89],"identify":[91],"drug-related":[92,100],"posts":[93],"analyze":[95],"behavior":[97],"patterns":[98],"user":[101],"accounts.":[102],"To":[103],"better":[104],"utilize":[105],"media,":[110],"analysis":[112],"methods":[113],"including":[114],"multi-task":[115],"learning":[116],"decision-level":[118],"fusion":[119],"employed":[121],"our":[123,139,152],"framework.":[124],"We":[125],"collect":[126],"three":[127],"datasets":[128],"using":[129],"web":[132],"engine":[134],"for":[135],"training":[136],"testing":[138],"models.":[140],"Experiment":[141],"results":[142],"expertly":[144],"labeled":[145],"have":[147],"demonstrated":[148],"effectiveness":[150],"approach,":[153],"as":[154,156],"well":[155],"its":[157],"reproducibility":[160],"over":[161],"labor-intensive":[162],"conventional":[163],"approaches.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
