{"id":"https://openalex.org/W3171798841","doi":"https://doi.org/10.1145/3463677.3463698","title":"How much do Twitter posts affect voters? Analysis of the multi-emotional charge with affective computing in political campaigns","display_name":"How much do Twitter posts affect voters? Analysis of the multi-emotional charge with affective computing in political campaigns","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3171798841","doi":"https://doi.org/10.1145/3463677.3463698","mag":"3171798841"},"language":"en","primary_location":{"id":"doi:10.1145/3463677.3463698","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3463677.3463698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"DG.O2021: The 22nd Annual International Conference on Digital Government Research","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/A5088159892","display_name":"David Valle-Cruz","orcid":"https://orcid.org/0000-0002-5204-8095"},"institutions":[{"id":"https://openalex.org/I179647637","display_name":"Universidad Aut\u00f3noma del Estado de M\u00e9xico","ror":"https://ror.org/0079gpv38","country_code":"MX","type":"education","lineage":["https://openalex.org/I179647637"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"David Valle-Cruz","raw_affiliation_strings":["Universidad Autonoma del Estado de Mexico, Mexico"],"affiliations":[{"raw_affiliation_string":"Universidad Autonoma del Estado de Mexico, Mexico","institution_ids":["https://openalex.org/I179647637"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065258336","display_name":"Asdr\u00fabal L\u00f3pez\u2010Chau","orcid":"https://orcid.org/0000-0001-5254-0939"},"institutions":[{"id":"https://openalex.org/I179647637","display_name":"Universidad Aut\u00f3noma del Estado de M\u00e9xico","ror":"https://ror.org/0079gpv38","country_code":"MX","type":"education","lineage":["https://openalex.org/I179647637"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Asdrubal Lopez-Chau","raw_affiliation_strings":["Universidad Autonoma del Estado de Mexico, Mexico"],"affiliations":[{"raw_affiliation_string":"Universidad Autonoma del Estado de Mexico, Mexico","institution_ids":["https://openalex.org/I179647637"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000425592","display_name":"Rodrigo Sandoval\u2010Almaz\u00e1n","orcid":"https://orcid.org/0000-0002-7864-6464"},"institutions":[{"id":"https://openalex.org/I179647637","display_name":"Universidad Aut\u00f3noma del Estado de M\u00e9xico","ror":"https://ror.org/0079gpv38","country_code":"MX","type":"education","lineage":["https://openalex.org/I179647637"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Rodrigo Sandoval-Almazan","raw_affiliation_strings":["Universidad Autonoma del Estado de Mexico, Mexico"],"affiliations":[{"raw_affiliation_string":"Universidad Autonoma del Estado de Mexico, Mexico","institution_ids":["https://openalex.org/I179647637"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5088159892"],"corresponding_institution_ids":["https://openalex.org/I179647637"],"apc_list":null,"apc_paid":null,"fwci":0.5439,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.72029628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9914000034332275,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.963699996471405,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.8785549402236938},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.6945031881332397},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.6152869462966919},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.600654661655426},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.579254686832428},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.5616750717163086},{"id":"https://openalex.org/keywords/presidential-system","display_name":"Presidential system","score":0.5469118356704712},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5345845222473145},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5043317079544067},{"id":"https://openalex.org/keywords/presidential-election","display_name":"Presidential election","score":0.45889875292778015},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.43335679173469543},{"id":"https://openalex.org/keywords/social-media-analytics","display_name":"Social media analytics","score":0.423518568277359},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.4136126935482025},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.39137211441993713},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.35413551330566406},{"id":"https://openalex.org/keywords/public-relations","display_name":"Public relations","score":0.3476285934448242},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3333714008331299},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1411845088005066},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11091864109039307}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8785549402236938},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.6945031881332397},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.6152869462966919},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.600654661655426},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.579254686832428},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.5616750717163086},{"id":"https://openalex.org/C197487636","wikidata":"https://www.wikidata.org/wiki/Q49892","display_name":"Presidential system","level":3,"score":0.5469118356704712},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5345845222473145},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5043317079544067},{"id":"https://openalex.org/C2776129789","wikidata":"https://www.wikidata.org/wiki/Q858439","display_name":"Presidential election","level":3,"score":0.45889875292778015},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43335679173469543},{"id":"https://openalex.org/C2778729106","wikidata":"https://www.wikidata.org/wiki/Q1140126","display_name":"Social media analytics","level":3,"score":0.423518568277359},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.4136126935482025},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.39137211441993713},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.35413551330566406},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.3476285934448242},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3333714008331299},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1411845088005066},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11091864109039307},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3463677.3463698","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3463677.3463698","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"DG.O2021: The 22nd Annual International Conference on Digital Government Research","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W929602440","https://openalex.org/W1566892458","https://openalex.org/W1603432526","https://openalex.org/W2001771035","https://openalex.org/W2018543616","https://openalex.org/W2027693172","https://openalex.org/W2073587341","https://openalex.org/W2089809964","https://openalex.org/W2156413587","https://openalex.org/W2163900343","https://openalex.org/W2290685192","https://openalex.org/W2425457887","https://openalex.org/W2493752399","https://openalex.org/W2513383615","https://openalex.org/W2517572945","https://openalex.org/W2577510759","https://openalex.org/W2584561145","https://openalex.org/W2599113592","https://openalex.org/W2612739139","https://openalex.org/W2612769033","https://openalex.org/W2617079958","https://openalex.org/W2617363498","https://openalex.org/W2620635264","https://openalex.org/W2626714086","https://openalex.org/W2769000698","https://openalex.org/W2782371023","https://openalex.org/W2789239487","https://openalex.org/W2791200561","https://openalex.org/W2793952233","https://openalex.org/W2795028571","https://openalex.org/W2800324063","https://openalex.org/W2884686506","https://openalex.org/W2889276617","https://openalex.org/W2904592940","https://openalex.org/W2905807898","https://openalex.org/W2912099040","https://openalex.org/W2921232643","https://openalex.org/W2937458533","https://openalex.org/W2941899846","https://openalex.org/W2953122191","https://openalex.org/W2967271711","https://openalex.org/W2972337982","https://openalex.org/W2977718410","https://openalex.org/W2982134482","https://openalex.org/W2985145045","https://openalex.org/W2998255389","https://openalex.org/W2998262945","https://openalex.org/W2998318993","https://openalex.org/W3000271234","https://openalex.org/W3008054344","https://openalex.org/W3013025806","https://openalex.org/W3036082643","https://openalex.org/W3037159016","https://openalex.org/W3046077792","https://openalex.org/W3046950317","https://openalex.org/W3064053140","https://openalex.org/W3080785405","https://openalex.org/W3088227996","https://openalex.org/W3089645204","https://openalex.org/W3094173182","https://openalex.org/W3095832647","https://openalex.org/W3097625287","https://openalex.org/W3098437005","https://openalex.org/W3114305620","https://openalex.org/W3139363371","https://openalex.org/W3176374876","https://openalex.org/W3195702065","https://openalex.org/W4229690693","https://openalex.org/W4254724182","https://openalex.org/W6698327768"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2252197266","https://openalex.org/W3148756070","https://openalex.org/W2761040624","https://openalex.org/W2571247430","https://openalex.org/W4300011642","https://openalex.org/W3046252353","https://openalex.org/W4205350312","https://openalex.org/W3195540305"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"has":[2],"been":[3],"applied":[4],"to":[5,14,111],"different":[6],"sectors":[7],"in":[8,40,69,131],"the":[9,22,30,33,61,65,86,96,100,104,113,126],"government":[10],"from":[11],"data":[12,38],"analysis":[13,59,108],"predictive":[15],"analytics,":[16],"as":[17,93,95],"well":[18,94],"as,":[19],"policing,":[20],"combating":[21],"COVID-19":[23],"pandemic,":[24],"and":[25,35,80,91,119],"political":[26,132],"election":[27],"campaigns.":[28,133],"In":[29],"academic":[31],"field,":[32],"exploitation":[34],"understanding":[36],"of":[37,60,89,99,115,128],"generated":[39],"social":[41],"media":[42],"have":[43],"mostly":[44],"focused":[45],"on":[46,51,72,103],"unimodal":[47],"sentiment":[48,53],"analysis,":[49],"based":[50,71],"one-dimensional":[52],"analysis.":[54,83],"This":[55],"research":[56,122],"proposes":[57],"an":[58],"emotional":[62],"charge":[63,88],"for":[64,125],"U.S.":[66],"presidential":[67],"elections":[68],"2020,":[70],"a":[73],"hybrid":[74],"approach":[75],"that":[76],"combines":[77],"affective":[78,129],"computing":[79,130],"classic":[81],"statistical":[82],"We":[84],"analyze":[85],"multi-emotional":[87],"candidates":[90,118],"voters,":[92],"potential":[97],"relationship":[98],"candidates'":[101],"emotions":[102],"voters.":[105,120],"Through":[106],"this":[107],"is":[109,123],"possible":[110],"determine":[112],"degree":[114],"agreement":[116],"between":[117],"Future":[121],"proposed":[124],"area":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}