{"id":"https://openalex.org/W2151051036","doi":"https://doi.org/10.1145/2531602.2531608","title":"Understanding individuals' personal values from social media word use","display_name":"Understanding individuals' personal values from social media word use","publication_year":2014,"publication_date":"2014-02-07","ids":{"openalex":"https://openalex.org/W2151051036","doi":"https://doi.org/10.1145/2531602.2531608","mag":"2151051036"},"language":"en","primary_location":{"id":"doi:10.1145/2531602.2531608","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2531602.2531608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing","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/A5033428202","display_name":"Jilin Chen","orcid":"https://orcid.org/0000-0002-3359-0938"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jilin Chen","raw_affiliation_strings":["IBM Research, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060931546","display_name":"Gary Hsieh","orcid":"https://orcid.org/0000-0002-9460-2568"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gary Hsieh","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111769572","display_name":"Jalal Mahmud","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jalal U. Mahmud","raw_affiliation_strings":["IBM Research, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081566660","display_name":"Jeffrey Nichols","orcid":"https://orcid.org/0000-0002-6880-8546"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey Nichols","raw_affiliation_strings":["IBM Research, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033428202"],"corresponding_institution_ids":["https://openalex.org/I1341412227"],"apc_list":null,"apc_paid":null,"fwci":18.1829,"has_fulltext":false,"cited_by_count":155,"citation_normalized_percentile":{"value":0.99295715,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"405","last_page":"414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.998199999332428,"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":0.998199999332428,"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":0.9951000213623047,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9761999845504761,"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/situational-ethics","display_name":"Situational ethics","score":0.6733500361442566},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6726505160331726},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6676753759384155},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5944181680679321},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5917626619338989},{"id":"https://openalex.org/keywords/human-values","display_name":"Human values","score":0.5829089283943176},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5706173777580261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5631555318832397},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.35611072182655334},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3538818359375},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.320195734500885},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.31261587142944336},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2652212977409363},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1394837200641632},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.132177472114563},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08575773239135742}],"concepts":[{"id":"https://openalex.org/C9114305","wikidata":"https://www.wikidata.org/wiki/Q1428317","display_name":"Situational ethics","level":2,"score":0.6733500361442566},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6726505160331726},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6676753759384155},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5944181680679321},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5917626619338989},{"id":"https://openalex.org/C2988948121","wikidata":"https://www.wikidata.org/wiki/Q194112","display_name":"Human values","level":2,"score":0.5829089283943176},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5706173777580261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5631555318832397},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.35611072182655334},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3538818359375},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.320195734500885},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.31261587142944336},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2652212977409363},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1394837200641632},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.132177472114563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08575773239135742},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2531602.2531608","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2531602.2531608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing","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"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W68298479","https://openalex.org/W323338930","https://openalex.org/W1570448133","https://openalex.org/W1966415081","https://openalex.org/W1973435495","https://openalex.org/W1973871257","https://openalex.org/W1984673945","https://openalex.org/W1995246702","https://openalex.org/W2002715976","https://openalex.org/W2006037840","https://openalex.org/W2038347112","https://openalex.org/W2048330531","https://openalex.org/W2054106228","https://openalex.org/W2055659022","https://openalex.org/W2056775433","https://openalex.org/W2064685466","https://openalex.org/W2069887182","https://openalex.org/W2077504940","https://openalex.org/W2093360768","https://openalex.org/W2097360283","https://openalex.org/W2097726431","https://openalex.org/W2108646579","https://openalex.org/W2110065044","https://openalex.org/W2111964893","https://openalex.org/W2119432837","https://openalex.org/W2122189635","https://openalex.org/W2140910804","https://openalex.org/W2146420980","https://openalex.org/W2149427297","https://openalex.org/W2151819609","https://openalex.org/W2154914877","https://openalex.org/W2158698691","https://openalex.org/W2258657359","https://openalex.org/W2273306884","https://openalex.org/W2281492572","https://openalex.org/W2316966198","https://openalex.org/W2330216214","https://openalex.org/W2532755691","https://openalex.org/W2543773040","https://openalex.org/W2544158810","https://openalex.org/W2584997055","https://openalex.org/W2620931863","https://openalex.org/W2966207845","https://openalex.org/W3123610095","https://openalex.org/W4205184193","https://openalex.org/W4211186029","https://openalex.org/W4294541781","https://openalex.org/W6676811031"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2366107444","https://openalex.org/W1976205134","https://openalex.org/W2381570729","https://openalex.org/W4248336175","https://openalex.org/W2391445434","https://openalex.org/W4312490297","https://openalex.org/W2185777168","https://openalex.org/W1980587845","https://openalex.org/W4312921832"],"abstract_inverted_index":{"The":[0,22],"theory":[1],"of":[2,11,41,70,79,84,101],"values":[3,50],"posits":[4],"that":[5,18,29,81],"each":[6],"person":[7],"has":[8],"a":[9,26,38,95],"set":[10],"values,":[12,32],"or":[13],"desirable":[14],"and":[15,51,66,76],"trans-situational":[16],"goals,":[17],"motivate":[19],"their":[20,52],"actions.":[21],"Basic":[23,102],"Human":[24,103],"Values,":[25],"motivational":[27],"construct":[28],"captures":[30],"people's":[31,49],"have":[33],"been":[34],"shown":[35],"to":[36],"influence":[37],"wide":[39],"range":[40],"human":[42],"behaviors.":[43],"In":[44],"this":[45],"work,":[46],"we":[47,74,92],"analyze":[48],"word":[53],"use":[54],"on":[55,98],"Reddit,":[56],"an":[57],"online":[58],"social":[59],"news":[60],"sharing":[61],"community.":[62],"Through":[63],"conducting":[64],"surveys":[65],"analyzing":[67],"text":[68],"contributions":[69],"799":[71],"Reddit":[72],"users,":[73],"identify":[75],"interpret":[77],"categories":[78],"words":[80],"are":[82],"indicative":[83],"user's":[85],"value":[86],"orientations.":[87],"Using":[88],"the":[89],"same":[90],"data,":[91],"further":[93],"report":[94],"preliminary":[96],"exploration":[97],"word-based":[99],"prediction":[100],"Values.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":19},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":18},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":5}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}