{"id":"https://openalex.org/W7147473656","doi":"https://doi.org/10.48550/arxiv.2603.27782","title":"Feeds Don't Tell the Whole Story: Measuring Online-Offline Emotion Alignment","display_name":"Feeds Don't Tell the Whole Story: Measuring Online-Offline Emotion Alignment","publication_year":2026,"publication_date":"2026-03-29","ids":{"openalex":"https://openalex.org/W7147473656","doi":"https://doi.org/10.48550/arxiv.2603.27782"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.27782","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.27782","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.27782","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132674579","display_name":"Sina Elahimanesh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elahimanesh, Sina","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011315309","display_name":"MohammadAli Mohammadkhani","orcid":"https://orcid.org/0000-0002-4831-7686"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammadkhani, Mohammadali","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5012933659","display_name":"Shohreh Kasaei","orcid":"https://orcid.org/0000-0002-3831-0878"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kasaei, Shohreh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.21690000593662262,"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":0.21690000593662262,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.2078000009059906,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T12488","display_name":"Mental Health via Writing","score":0.13950000703334808,"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/pipeline","display_name":"Pipeline (software)","score":0.7293999791145325},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6959999799728394},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5777999758720398},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5374000072479248},{"id":"https://openalex.org/keywords/persian","display_name":"Persian","score":0.41449999809265137},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.40470001101493835},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.38510000705718994},{"id":"https://openalex.org/keywords/computational-sociology","display_name":"Computational sociology","score":0.3449999988079071}],"concepts":[{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7293999791145325},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6959999799728394},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5777999758720398},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5374000072479248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4909000098705292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45239999890327454},{"id":"https://openalex.org/C2776527531","wikidata":"https://www.wikidata.org/wiki/Q9168","display_name":"Persian","level":2,"score":0.41449999809265137},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.40470001101493835},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.38510000705718994},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3490000069141388},{"id":"https://openalex.org/C126349790","wikidata":"https://www.wikidata.org/wiki/Q905036","display_name":"Computational sociology","level":2,"score":0.3449999988079071},{"id":"https://openalex.org/C2780102126","wikidata":"https://www.wikidata.org/wiki/Q10928179","display_name":"Online and offline","level":2,"score":0.3280999958515167},{"id":"https://openalex.org/C17632256","wikidata":"https://www.wikidata.org/wiki/Q1076968","display_name":"Digital media","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32280001044273376},{"id":"https://openalex.org/C143110190","wikidata":"https://www.wikidata.org/wiki/Q5373787","display_name":"Emotional expression","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3021000027656555},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.28450000286102295},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.27720001339912415},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2754000127315521},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.27782","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.27782","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.27782","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.27782","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"contemporary":[1],"society,":[2],"social":[3,42],"media":[4,43,93],"is":[5],"deeply":[6],"integrated":[7],"into":[8,67],"daily":[9],"life,":[10],"yet":[11],"emotional":[12,131],"expression":[13,132],"often":[14],"differs":[15],"between":[16,39,100,133],"real":[17],"and":[18,41,47,53,58,91,102,125,135,138],"online":[19,75,134],"contexts.":[20],"We":[21],"studied":[22],"the":[23,143],"Persian":[24],"community":[25],"on":[26],"X":[27],"to":[28,36],"explore":[29],"this":[30],"gap,":[31],"designing":[32],"a":[33,78],"human-centered":[34],"pipeline":[35,145],"measure":[37],"alignment":[38],"real-world":[40,69,103],"emotions.":[44],"Recent":[45],"tweets":[46,106],"images":[48,101],"of":[49,63,142],"participants":[50,64],"were":[51,72],"collected":[52],"analyzed":[54],"using":[55,77],"Transformers-based":[56],"text":[57],"image":[59],"sentiment":[60,120],"modules.":[61],"Friends":[62],"provided":[65],"insights":[66],"their":[68],"emotions,":[70,104],"which":[71],"compared":[73],"with":[74,110],"expressions":[76],"distance":[79],"criterion.":[80],"The":[81],"study":[82],"involved":[83],"N=105":[84],"participants,":[85],"393":[86],"friends,":[87],"over":[88],"8,300":[89],"tweets,":[90,124],"2,000":[92],"images.":[94],"Results":[95],"showed":[96],"only":[97],"28%":[98],"similarity":[99],"while":[105],"aligned":[107],"about":[108],"76%":[109],"participants'":[111],"real-life":[112],"feelings.":[113],"Statistical":[114],"analyses":[115],"confirmed":[116],"significant":[117],"disparities":[118],"in":[119,130],"proportions":[121],"across":[122],"images,":[123],"friends'":[126],"perceptions,":[127],"highlighting":[128],"differences":[129],"offline":[136],"environments":[137],"demonstrating":[139],"practical":[140],"utility":[141],"proposed":[144],"for":[146],"understanding":[147],"digital":[148],"self-presentation.":[149]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-02T00:00:00"}
