{"id":"https://openalex.org/W4366380716","doi":"https://doi.org/10.1145/3584376.3584617","title":"A study based on machine learning: Categorizing and predicting models of American Twitter users' ideology","display_name":"A study based on machine learning: Categorizing and predicting models of American Twitter users' ideology","publication_year":2022,"publication_date":"2022-12-16","ids":{"openalex":"https://openalex.org/W4366380716","doi":"https://doi.org/10.1145/3584376.3584617"},"language":"en","primary_location":{"id":"doi:10.1145/3584376.3584617","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584376.3584617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","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/A5005116946","display_name":"Caikun Cheng","orcid":"https://orcid.org/0000-0001-7508-6660"},"institutions":[{"id":"https://openalex.org/I11406153","display_name":"Shanghai International Studies University","ror":"https://ror.org/01bn89z48","country_code":"CN","type":"education","lineage":["https://openalex.org/I11406153"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Caikun Cheng","raw_affiliation_strings":["School of International Relations and Public Affairs, Shanghai International Studies University, China"],"affiliations":[{"raw_affiliation_string":"School of International Relations and Public Affairs, Shanghai International Studies University, China","institution_ids":["https://openalex.org/I11406153"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5005116946"],"corresponding_institution_ids":["https://openalex.org/I11406153"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27904667,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1370","last_page":"1377"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10557","display_name":"Social Media and Politics","score":0.9973999857902527,"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":0.9973999857902527,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9969000220298767,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9955999851226807,"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/decision-tree","display_name":"Decision tree","score":0.7016200423240662},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6814322471618652},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.625642716884613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6247195601463318},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5852277874946594},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.5633720755577087},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5422649383544922},{"id":"https://openalex.org/keywords/ideology","display_name":"Ideology","score":0.5275832414627075},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5119520425796509},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.4833054542541504},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4509527087211609},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.42930227518081665},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.381009042263031},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.18421611189842224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15599071979522705}],"concepts":[{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7016200423240662},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6814322471618652},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.625642716884613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6247195601463318},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5852277874946594},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.5633720755577087},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5422649383544922},{"id":"https://openalex.org/C158071213","wikidata":"https://www.wikidata.org/wiki/Q7257","display_name":"Ideology","level":3,"score":0.5275832414627075},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5119520425796509},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.4833054542541504},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4509527087211609},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.42930227518081665},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.381009042263031},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.18421611189842224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15599071979522705},{"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3584376.3584617","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584376.3584617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1590495275","https://openalex.org/W2136645636","https://openalex.org/W2296013067","https://openalex.org/W2740751204","https://openalex.org/W2761453955","https://openalex.org/W2788802649","https://openalex.org/W3033693036","https://openalex.org/W3088596325","https://openalex.org/W3089240298","https://openalex.org/W3102042889"],"related_works":["https://openalex.org/W4224922629","https://openalex.org/W2591672004","https://openalex.org/W1982169401","https://openalex.org/W2356463514","https://openalex.org/W4319437832","https://openalex.org/W4243803609","https://openalex.org/W2030894524","https://openalex.org/W2350430350","https://openalex.org/W2592385415","https://openalex.org/W102063058"],"abstract_inverted_index":{"The":[0,67,93,116,167,208],"division":[1],"of":[2,11,33,41,86,109,126,133,142,170,185,192,211],"political":[3,16],"groups":[4],"on":[5,187],"Twitter":[6,62,145,158,178,186],"has":[7,73,99],"always":[8],"been":[9],"one":[10],"the":[12,19,31,34,39,84,87,107,130,183,190,212],"hot":[13],"topics":[14],"in":[15,21,45,64],"communication,":[17],"but":[18],"research":[20,60],"this":[22,50,65,110,171],"area":[23],"is":[24,91,114,179,201,218],"often":[25],"difficult":[26],"to":[27,48,59,197],"reproduce":[28],"and":[29,83,106,129,155,199,221],"ignores":[30],"shielding":[32],"Internet.":[35],"I":[36],"will":[37],"use":[38,210],"method":[40],"decision":[42,53,69,95,118,214],"tree":[43,54,70,96,119,216],"classification":[44,55,71,97,120,141,215],"machine":[46],"learning":[47],"improve":[49],"research.":[51],"Two":[52],"models":[56,121,135,217],"are":[57,122,165],"constructed":[58],"American":[61,143,156,188],"users":[63,146,159],"study.":[66],"first":[68],"model":[72,88,98,172],"three":[74],"dependent":[75,101],"variable":[76,102],"categories":[77,103],"(Republican,":[78,104],"Democrat,":[79],"Independent":[80],"or":[81,153,163],"else),":[82],"F1":[85,108],"test":[89,112],"set":[90,113,125],"0.5.":[92],"second":[94],"two":[100,117,134,213],"Democrat),":[105],"model's":[111],"0.856.":[115],"a":[123,138,149,224],"complete":[124],"hierarchical":[127],"models,":[128],"internal":[131],"comparison":[132],"also":[136,173,219],"reveals":[137],"more":[139],"distinct":[140],"adult":[144,157],"who":[147,160],"have":[148],"preference":[150],"for":[151,194,204,226],"\"Republican\"":[152],"\"Democrat\",":[154],"prefer":[161],"\"Independent":[162],"else\"":[164],"indistinguishable.":[166],"characteristic":[168],"importance":[169],"explains":[174],"\"the":[175],"perception":[176],"that":[177],"banning":[180],"users'":[181],"use,":[182],"impact":[184],"democracy,":[189],"frequency":[191],"searches":[193],"issues":[195],"related":[196],"politics":[198],"society\"":[200],"particularly":[202],"important":[203],"Twitter's":[205],"ideological":[206],"categorization.":[207],"integrated":[209],"practical":[220],"can":[222],"provide":[223],"reference":[225],"later":[227],"researchers.":[228]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}