{"id":"https://openalex.org/W3038675020","doi":"https://doi.org/10.1145/3400806.3400830","title":"NivaDuck - A Scalable Pipeline to Build a Database of Political Twitter Handles for India and the United States","display_name":"NivaDuck - A Scalable Pipeline to Build a Database of Political Twitter Handles for India and the United States","publication_year":2020,"publication_date":"2020-06-29","ids":{"openalex":"https://openalex.org/W3038675020","doi":"https://doi.org/10.1145/3400806.3400830","mag":"3038675020"},"language":"en","primary_location":{"id":"doi:10.1145/3400806.3400830","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3400806.3400830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Social Media and Society","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/A5037946630","display_name":"Anmol Panda","orcid":"https://orcid.org/0000-0002-7613-2216"},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Anmol Panda","raw_affiliation_strings":["Microsoft Research India, India"],"affiliations":[{"raw_affiliation_string":"Microsoft Research India, India","institution_ids":["https://openalex.org/I4210124949"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008639704","display_name":"A\u2019ndre Gonawela","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A\u2019ndre Gonawela","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108351571","display_name":"Sreangsu Acharyya","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sreangsu Acharyya","raw_affiliation_strings":["Microsoft Research India"],"affiliations":[{"raw_affiliation_string":"Microsoft Research India","institution_ids":["https://openalex.org/I4210124949"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104099119","display_name":"Dibyendu Mishra","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dibyendu Mishra","raw_affiliation_strings":["Microsoft Research India"],"affiliations":[{"raw_affiliation_string":"Microsoft Research India","institution_ids":["https://openalex.org/I4210124949"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052815564","display_name":"Mugdha Mohapatra","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mugdha Mohapatra","raw_affiliation_strings":["Microsoft Research India"],"affiliations":[{"raw_affiliation_string":"Microsoft Research India","institution_ids":["https://openalex.org/I4210124949"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005738234","display_name":"Ramgopal Chandrasekaran","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramgopal Chandrasekaran","raw_affiliation_strings":["University of Michigan"],"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058437817","display_name":"Joyojeet Pal","orcid":"https://orcid.org/0000-0002-9076-2046"},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Joyojeet Pal","raw_affiliation_strings":["Microsoft Research India"],"affiliations":[{"raw_affiliation_string":"Microsoft Research India","institution_ids":["https://openalex.org/I4210124949"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5037946630"],"corresponding_institution_ids":["https://openalex.org/I4210124949"],"apc_list":null,"apc_paid":null,"fwci":7.0074,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.96682202,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"200","last_page":"209"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10557","display_name":"Social Media and Politics","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"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/T10557","display_name":"Social Media and Politics","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9987999796867371,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9901000261306763,"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":0.7551571130752563},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.7246421575546265},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6758691072463989},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5808406472206116},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5726081728935242},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5690422058105469},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5425830483436584},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.5159912109375},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4760468006134033},{"id":"https://openalex.org/keywords/parliament","display_name":"Parliament","score":0.4677068591117859},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4313109517097473},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36097463965415955},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3546530604362488},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.25832146406173706},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.16273820400238037},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06729033589363098}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7551571130752563},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7246421575546265},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6758691072463989},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5808406472206116},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5726081728935242},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5690422058105469},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5425830483436584},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.5159912109375},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4760468006134033},{"id":"https://openalex.org/C2781440851","wikidata":"https://www.wikidata.org/wiki/Q35749","display_name":"Parliament","level":3,"score":0.4677068591117859},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4313109517097473},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36097463965415955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3546530604362488},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.25832146406173706},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.16273820400238037},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06729033589363098},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3400806.3400830","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3400806.3400830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Social Media and Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W184758014","https://openalex.org/W354985922","https://openalex.org/W642951374","https://openalex.org/W1490556169","https://openalex.org/W1521626219","https://openalex.org/W1571432660","https://openalex.org/W1580240366","https://openalex.org/W1970768240","https://openalex.org/W1973130006","https://openalex.org/W1973935370","https://openalex.org/W1974073092","https://openalex.org/W1979884177","https://openalex.org/W1981085827","https://openalex.org/W1988183984","https://openalex.org/W2002715976","https://openalex.org/W2007570259","https://openalex.org/W2013416264","https://openalex.org/W2015628539","https://openalex.org/W2017729405","https://openalex.org/W2021491737","https://openalex.org/W2023988115","https://openalex.org/W2026534944","https://openalex.org/W2032195736","https://openalex.org/W2044547964","https://openalex.org/W2056284671","https://openalex.org/W2060994635","https://openalex.org/W2065525345","https://openalex.org/W2068407456","https://openalex.org/W2078930681","https://openalex.org/W2097945077","https://openalex.org/W2102028610","https://openalex.org/W2104624873","https://openalex.org/W2108775494","https://openalex.org/W2126758412","https://openalex.org/W2143017621","https://openalex.org/W2156752806","https://openalex.org/W2168627253","https://openalex.org/W2170082337","https://openalex.org/W2170890002","https://openalex.org/W2188594517","https://openalex.org/W2248877347","https://openalex.org/W2278427776","https://openalex.org/W2290683883","https://openalex.org/W2332730761","https://openalex.org/W2471485739","https://openalex.org/W2481067878","https://openalex.org/W2513022154","https://openalex.org/W2557140703","https://openalex.org/W2566625606","https://openalex.org/W2582561810","https://openalex.org/W2597857233","https://openalex.org/W2599946454","https://openalex.org/W2611885487","https://openalex.org/W2724523750","https://openalex.org/W2736640248","https://openalex.org/W2745338679","https://openalex.org/W2756926001","https://openalex.org/W2790166049","https://openalex.org/W2799915114","https://openalex.org/W2800115953","https://openalex.org/W2807371872","https://openalex.org/W2897387767","https://openalex.org/W2904021002","https://openalex.org/W2938086271","https://openalex.org/W2963361481","https://openalex.org/W2986023908","https://openalex.org/W2997591727","https://openalex.org/W3032130850","https://openalex.org/W3036977653","https://openalex.org/W3123039276","https://openalex.org/W3123712780","https://openalex.org/W3123937770","https://openalex.org/W6683094564","https://openalex.org/W6735151649","https://openalex.org/W6805223522"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2023822311","https://openalex.org/W4252661029","https://openalex.org/W2375791221","https://openalex.org/W2254312451","https://openalex.org/W4365503523","https://openalex.org/W2097613883","https://openalex.org/W589623597","https://openalex.org/W2569479847","https://openalex.org/W1976918272"],"abstract_inverted_index":{"We":[0,67,122,147],"present":[1],"a":[2,12,59,70,159],"scalable":[3,154],"methodology":[4],"to":[5,57,84,156],"identify":[6,85],"Twitter":[7,39,78,94],"handles":[8,40,95],"of":[9,22,30,36,41,62,96,99,136],"politicians":[10,64,113,137],"in":[11,19,114,176],"given":[13],"region":[14],"and":[15,24,44,54,81,110,117,161,170],"test":[16],"our":[17,31],"framework":[18],"the":[20,34,37,97,100,105,144,149,167],"context":[21],"Indian":[23,43,63,101],"US":[25,46,106,145],"politics.":[26],"The":[27],"main":[28],"contribution":[29],"work":[32,49],"is":[33],"list":[35],"curated":[38],"18500":[42],"8000":[45],"politicians.":[47,86],"Our":[48],"leveraged":[50],"machine":[51],"learning-based":[52],"classification":[53,74],"human":[55],"verification":[56],"build":[58],"data":[60],"set":[61],"on":[65,179],"Twitter.":[66],"built":[68],"NivaDuck,":[69],"highly":[71],"precise,":[72],"two-staged":[73],"pipeline":[75],"that":[76,124],"leverages":[77],"description":[79],"text":[80],"tweet":[82],"content":[83],"For":[87],"India,":[88],"we":[89,107],"tested":[90],"NivaDuck\u2019s":[91],"recall":[92,129],"using":[93],"members":[98],"parliament":[102],"while":[103,125],"for":[104,143,151,166,174],"used":[108],"state":[109,116],"local":[111],"level":[112],"California":[115],"San":[118],"Diego":[119],"county":[120],"respectively.":[121],"found":[123],"NivaDuck":[126],"has":[127],"lower":[128],"scores,":[130],"it":[131],"produces":[132],"large,":[133],"diverse":[134],"sets":[135],"with":[138],"precision":[139],"exceeding":[140],"90":[141],"percent":[142],"dataset.":[146],"discuss":[148],"need":[150],"an":[152],"ML-based,":[153],"method":[155],"compile":[157],"such":[158],"dataset":[160],"its":[162,171],"myriad":[163],"use":[164],"cases":[165],"research":[168,175],"community":[169],"wide-ranging":[172],"utilities":[173],"political":[177],"communication":[178],"social":[180],"media.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}