{"id":"https://openalex.org/W2412930115","doi":"https://doi.org/10.1145/2786451.2786473","title":"Emotional States vs. Emotional Words in Social Media","display_name":"Emotional States vs. Emotional Words in Social Media","publication_year":2015,"publication_date":"2015-06-28","ids":{"openalex":"https://openalex.org/W2412930115","doi":"https://doi.org/10.1145/2786451.2786473","mag":"2412930115"},"language":"en","primary_location":{"id":"doi:10.1145/2786451.2786473","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2786451.2786473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Science Conference","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/A5027532992","display_name":"Asaf Beasley","orcid":null},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Asaf Beasley","raw_affiliation_strings":["Indiana University"],"affiliations":[{"raw_affiliation_string":"Indiana University","institution_ids":["https://openalex.org/I592451"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078651528","display_name":"Winter Mason","orcid":"https://orcid.org/0000-0003-1269-8947"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Winter Mason","raw_affiliation_strings":["Stevens Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology","institution_ids":["https://openalex.org/I108468826"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027532992"],"corresponding_institution_ids":["https://openalex.org/I592451"],"apc_list":null,"apc_paid":null,"fwci":4.7458,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.95378095,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9993000030517578,"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":0.9993000030517578,"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/T12488","display_name":"Mental Health via Writing","score":0.9979000091552734,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6857250332832336},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.6661214828491211},{"id":"https://openalex.org/keywords/trait","display_name":"Trait","score":0.658568263053894},{"id":"https://openalex.org/keywords/emotionality","display_name":"Emotionality","score":0.6250767707824707},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5851356387138367},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5377601981163025},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.47249093651771545},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.4661250114440918},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.46145686507225037},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4368094801902771},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4360434114933014},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4258950650691986},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2860490679740906},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.234014630317688},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.17244493961334229},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16096508502960205},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.10689345002174377},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1030762791633606}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6857250332832336},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.6661214828491211},{"id":"https://openalex.org/C106934330","wikidata":"https://www.wikidata.org/wiki/Q1971873","display_name":"Trait","level":2,"score":0.658568263053894},{"id":"https://openalex.org/C168862018","wikidata":"https://www.wikidata.org/wiki/Q5373805","display_name":"Emotionality","level":2,"score":0.6250767707824707},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5851356387138367},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5377601981163025},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.47249093651771545},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.4661250114440918},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.46145686507225037},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4368094801902771},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4360434114933014},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4258950650691986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2860490679740906},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.234014630317688},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.17244493961334229},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16096508502960205},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.10689345002174377},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1030762791633606},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2786451.2786473","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2786451.2786473","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Science Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2402700","https://openalex.org/W40549020","https://openalex.org/W1589554437","https://openalex.org/W1662284448","https://openalex.org/W1675450783","https://openalex.org/W1968380849","https://openalex.org/W1996314002","https://openalex.org/W1997260947","https://openalex.org/W2007445014","https://openalex.org/W2025280753","https://openalex.org/W2055235810","https://openalex.org/W2061131717","https://openalex.org/W2066400059","https://openalex.org/W2088490356","https://openalex.org/W2088507508","https://openalex.org/W2092769001","https://openalex.org/W2099352442","https://openalex.org/W2099366530","https://openalex.org/W2099813784","https://openalex.org/W2108073218","https://openalex.org/W2113125055","https://openalex.org/W2126351352","https://openalex.org/W2130470842","https://openalex.org/W2140840069","https://openalex.org/W2140910804","https://openalex.org/W2144012961","https://openalex.org/W2145116212","https://openalex.org/W2148905283","https://openalex.org/W2150819813","https://openalex.org/W2151170651","https://openalex.org/W2153712210","https://openalex.org/W2157069646","https://openalex.org/W2250489604","https://openalex.org/W2250812182","https://openalex.org/W2277876591","https://openalex.org/W2949709688","https://openalex.org/W4242512387","https://openalex.org/W6649393756","https://openalex.org/W6999912698"],"related_works":["https://openalex.org/W2011508372","https://openalex.org/W2548633793","https://openalex.org/W3089396779","https://openalex.org/W3132372214","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W2941935829","https://openalex.org/W2438765327","https://openalex.org/W3013279174","https://openalex.org/W2392022936"],"abstract_inverted_index":{"A":[0],"number":[1],"of":[2,38,85,113,132],"social":[3,125],"media":[4],"studies":[5],"have":[6],"equated":[7],"people's":[8],"emotional":[9],"states":[10],"with":[11,14],"the":[12,61,74,89,111,114,139],"frequency":[13],"which":[15],"they":[16,153],"use":[17],"affectively":[18],"positive":[19,40,68],"and":[20,41,48,69,81,91,101,116],"negative":[21,42,70],"words":[22,72],"in":[23,60],"their":[24],"posts.":[25],"We":[26,52,96],"explore":[27],"how":[28,152],"such":[29],"word":[30],"frequencies":[31],"relate":[32],"to":[33,63,150],"a":[34,82],"ground":[35],"truth":[36],"measure":[37],"both":[39],"emotion":[43],"for":[44,99,138],"515":[45],"Facebook":[46,102],"users":[47],"448":[49],"Twitter":[50],"users.":[51],"find":[53],"statistically":[54],"significant":[55],"but":[56],"very":[57],"weak":[58],"(\u03c1":[59],"0.1":[62],"0.2":[64],"range)":[65],"correlations":[66],"between":[67],"emotion-related":[71],"from":[73],"Linguistic":[75],"Inquiry":[76],"Word":[77],"Count":[78],"(LIWC)":[79],"dictionary":[80],"well-validated":[83],"scale":[84],"trait":[86],"emotionality":[87],"called":[88],"Positive":[90],"Negative":[92],"Affect":[93],"Schedule":[94],"(PANAS).":[95],"test":[97],"this":[98,130],"tweets":[100],"status":[103],"updates,":[104],"focus":[105],"on":[106,124],"different":[107],"time":[108],"slices":[109],"around":[110],"completion":[112],"survey,":[115],"consider":[117],"participants":[118],"who":[119],"report":[120],"expressing":[121],"emotions":[122],"frequently":[123],"media.":[126],"With":[127],"rare":[128],"exception,":[129],"pattern":[131],"low":[133],"correlation":[134],"persists,":[135],"suggesting":[136],"that":[137],"typical":[140],"user,":[141],"dictionary-based":[142],"sentiment":[143],"analysis":[144],"tools":[145],"may":[146],"not":[147],"be":[148],"sufficient":[149],"infer":[151],"truly":[154],"feel.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}