{"id":"https://openalex.org/W4411549500","doi":"https://doi.org/10.1145/3701716.3715556","title":"Faces Speak Louder Than Words: Emotions Versus Textual Sentiment in the 2024 USA Presidential Election","display_name":"Faces Speak Louder Than Words: Emotions Versus Textual Sentiment in the 2024 USA Presidential Election","publication_year":2025,"publication_date":"2025-05-08","ids":{"openalex":"https://openalex.org/W4411549500","doi":"https://doi.org/10.1145/3701716.3715556"},"language":"en","primary_location":{"id":"doi:10.1145/3701716.3715556","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3701716.3715556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","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/A5026043775","display_name":"Chiyu Wei","orcid":"https://orcid.org/0009-0006-6348-7313"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chiyu Wei","raw_affiliation_strings":["Department of Mathematics, Dartmouth College, Hanover, New Hampshire, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Dartmouth College, Hanover, New Hampshire, USA","institution_ids":["https://openalex.org/I107672454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097398930","display_name":"Sean Noh","orcid":"https://orcid.org/0009-0000-7621-6404"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sean Noh","raw_affiliation_strings":["Quantitative Social Science, Dartmouth College, Hanover, New Hampshire, USA"],"affiliations":[{"raw_affiliation_string":"Quantitative Social Science, Dartmouth College, Hanover, New Hampshire, USA","institution_ids":["https://openalex.org/I107672454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043059930","display_name":"Ho-Chun Herbert Chang","orcid":"https://orcid.org/0000-0002-0056-2527"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ho-Chun Herbert Chang","raw_affiliation_strings":["Quantitative Social Science, Dartmouth College, Hanover, New Hampshire, USA"],"affiliations":[{"raw_affiliation_string":"Quantitative Social Science, Dartmouth College, Hanover, New Hampshire, USA","institution_ids":["https://openalex.org/I107672454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026043775"],"corresponding_institution_ids":["https://openalex.org/I107672454"],"apc_list":null,"apc_paid":null,"fwci":5.7735,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.95675691,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1390","last_page":"1393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9988999962806702,"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":0.9988999962806702,"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/T11795","display_name":"Humor Studies and Applications","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12313","display_name":"Emotions and Moral Behavior","score":0.9671000242233276,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7657208442687988},{"id":"https://openalex.org/keywords/presidential-election","display_name":"Presidential election","score":0.6047598123550415},{"id":"https://openalex.org/keywords/presidential-system","display_name":"Presidential system","score":0.5994894504547119},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5288368463516235},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4712519943714142},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.4338662028312683},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.3846949636936188},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.36181211471557617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34022462368011475},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.22613343596458435},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.22049713134765625},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.13531887531280518},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.11294540762901306},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.07448345422744751}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7657208442687988},{"id":"https://openalex.org/C2776129789","wikidata":"https://www.wikidata.org/wiki/Q858439","display_name":"Presidential election","level":3,"score":0.6047598123550415},{"id":"https://openalex.org/C197487636","wikidata":"https://www.wikidata.org/wiki/Q49892","display_name":"Presidential system","level":3,"score":0.5994894504547119},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5288368463516235},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4712519943714142},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.4338662028312683},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3846949636936188},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.36181211471557617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34022462368011475},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.22613343596458435},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.22049713134765625},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.13531887531280518},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.11294540762901306},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.07448345422744751}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3701716.3715556","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3701716.3715556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2099813784","https://openalex.org/W2117645142","https://openalex.org/W2250879510","https://openalex.org/W3048844620","https://openalex.org/W3094261768","https://openalex.org/W3165553112","https://openalex.org/W4205184193","https://openalex.org/W4311827947","https://openalex.org/W4388556986","https://openalex.org/W4405695667"],"related_works":["https://openalex.org/W2606962271","https://openalex.org/W1928058949","https://openalex.org/W645512964","https://openalex.org/W2154519170","https://openalex.org/W2086460054","https://openalex.org/W1604650372","https://openalex.org/W2098310533","https://openalex.org/W2189207620","https://openalex.org/W3168885418","https://openalex.org/W1983680744"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1,163,167],"of":[2,19,26,43,48,58,159],"textual":[3,81,165],"content":[4,50],"has":[5],"become":[6],"a":[7,56,130],"well-established":[8],"solution":[9],"for":[10],"analyzing":[11],"social":[12,31,173],"media":[13,32,174],"data.":[14],"However,":[15],"with":[16,92,99,164],"the":[17,44,63,78,157],"rise":[18],"images":[20],"and":[21,82,103,123],"videos":[22],"as":[23,41,119],"primary":[24],"modes":[25],"expression,":[27],"more":[28],"information":[29,109],"on":[30],"is":[33],"conveyed":[34],"visually.":[35],"Among":[36],"these,":[37],"facial":[38,83,89,105,161],"expressions":[39,90,106],"serve":[40],"one":[42],"most":[45],"direct":[46],"indicators":[47],"emotional":[49],"in":[51,133],"images.":[52],"This":[53],"study":[54],"analyzes":[55],"dataset":[57],"Instagram":[59],"posts":[60,126],"related":[61],"to":[62,72,76,142,151,168],"2024":[64],"U.S.":[65],"presidential":[66],"election,":[67],"spanning":[68],"April":[69],"5,":[70],"2024,":[71,75],"August":[73],"9,":[74],"compare":[77],"relationship":[79],"between":[80],"sentiment.":[84,135],"Our":[85,154],"findings":[86],"reveal":[87],"that":[88],"align":[91],"text":[93],"sentiment,":[94],"where":[95],"positive":[96],"sentiment":[97,166],"aligns":[98],"happiness,":[100],"although":[101],"neutral":[102],"negative":[104,111,134],"provide":[107],"critical":[108],"beyond":[110],"valence.":[112],"Furthermore,":[113],"during":[114],"politically":[115],"significant":[116],"events":[117],"such":[118],"Donald":[120],"Trump's":[121],"conviction":[122],"assassination":[124],"attempt,":[125],"depicting":[127],"Trump":[128],"showed":[129],"12%":[131],"increase":[132],"Crucially,":[136],"Democrats":[137],"use":[138,147],"their":[139,148],"opponent's":[140],"fear":[141],"depict":[143,152],"weakness,":[144],"whereas":[145],"Republicans":[146],"candidate's":[149],"anger":[150],"resilience.":[153],"research":[155],"highlights":[156],"potential":[158],"integrating":[160],"expression":[162],"uncover":[169],"deeper":[170],"insights":[171],"into":[172],"dynamics.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}
