{"id":"https://openalex.org/W2518630504","doi":"https://doi.org/10.1145/2971648.2971724","title":"Learning from the ubiquitous language","display_name":"Learning from the ubiquitous language","publication_year":2016,"publication_date":"2016-09-09","ids":{"openalex":"https://openalex.org/W2518630504","doi":"https://doi.org/10.1145/2971648.2971724","mag":"2518630504"},"language":"en","primary_location":{"id":"doi:10.1145/2971648.2971724","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2971648.2971724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous 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/A5052404451","display_name":"Xuan L\u00fc","orcid":"https://orcid.org/0000-0003-4886-0918"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Lu","raw_affiliation_strings":["(Peking University), MoE, Beijing, China and Beida (Binhai) Information Research, Tianjing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"(Peking University), MoE, Beijing, China and Beida (Binhai) Information Research, Tianjing","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wei Ai","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Ai","raw_affiliation_strings":["University of Michigan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103034984","display_name":"Xuanzhe Liu","orcid":"https://orcid.org/0000-0002-4037-5400"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanzhe Liu","raw_affiliation_strings":["(Peking University), MoE, Beijing, China and Beida (Binhai) Information Research, Tianjing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"(Peking University), MoE, Beijing, China and Beida (Binhai) Information Research, Tianjing","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100707680","display_name":"Qian Li","orcid":"https://orcid.org/0000-0003-3609-1533"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Li","raw_affiliation_strings":["(Peking University), MoE, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"(Peking University), MoE, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100387096","display_name":"Ning Wang","orcid":"https://orcid.org/0000-0001-8903-8790"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ning Wang","raw_affiliation_strings":["Xinmeihutong Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinmeihutong Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101617703","display_name":"Gang Huang","orcid":"https://orcid.org/0000-0002-4686-3181"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Huang","raw_affiliation_strings":["(Peking University), MoE, Beijing, China and Beida (Binhai) Information Research, Tianjing"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"(Peking University), MoE, Beijing, China and Beida (Binhai) Information Research, Tianjing","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048955398","display_name":"Qiaozhu Mei","orcid":"https://orcid.org/0000-0002-8640-1942"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiaozhu Mei","raw_affiliation_strings":["University of Michigan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Michigan","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.7114,"has_fulltext":false,"cited_by_count":216,"citation_normalized_percentile":{"value":0.99384268,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"770","last_page":"780"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13155","display_name":"Digital Communication and Language","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T13155","display_name":"Digital Communication and Language","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T13317","display_name":"Media, Communication, and Education","score":0.9537000060081482,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9476000070571899,"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/emoji","display_name":"Emoji","score":0.9733268022537231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7009727954864502},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6042255759239197},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.575348973274231},{"id":"https://openalex.org/keywords/ubiquitous-computing","display_name":"Ubiquitous computing","score":0.4817650318145752},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4657237231731415},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.453137069940567},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.41612547636032104},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.38582608103752136},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.35918086767196655},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.21052956581115723}],"concepts":[{"id":"https://openalex.org/C2779247141","wikidata":"https://www.wikidata.org/wiki/Q1049294","display_name":"Emoji","level":3,"score":0.9733268022537231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7009727954864502},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6042255759239197},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.575348973274231},{"id":"https://openalex.org/C172195944","wikidata":"https://www.wikidata.org/wiki/Q541265","display_name":"Ubiquitous computing","level":2,"score":0.4817650318145752},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4657237231731415},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.453137069940567},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.41612547636032104},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.38582608103752136},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.35918086767196655},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.21052956581115723},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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:10.1145/2971648.2971724","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2971648.2971724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","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":32,"referenced_works":["https://openalex.org/W639868715","https://openalex.org/W1192513330","https://openalex.org/W1593045043","https://openalex.org/W1967256794","https://openalex.org/W1993909392","https://openalex.org/W2017912703","https://openalex.org/W2022466128","https://openalex.org/W2028695285","https://openalex.org/W2037131392","https://openalex.org/W2043870592","https://openalex.org/W2066440362","https://openalex.org/W2077587655","https://openalex.org/W2097726431","https://openalex.org/W2100307458","https://openalex.org/W2101282523","https://openalex.org/W2108646579","https://openalex.org/W2109712306","https://openalex.org/W2129294185","https://openalex.org/W2131681506","https://openalex.org/W2140918013","https://openalex.org/W2143570397","https://openalex.org/W2152423878","https://openalex.org/W2166308332","https://openalex.org/W2167237140","https://openalex.org/W2186165877","https://openalex.org/W2190956014","https://openalex.org/W2243203301","https://openalex.org/W2290683883","https://openalex.org/W2503077446","https://openalex.org/W2582345297","https://openalex.org/W4205184193","https://openalex.org/W4211186029"],"related_works":["https://openalex.org/W4366957678","https://openalex.org/W4285115135","https://openalex.org/W2510851569","https://openalex.org/W3207908059","https://openalex.org/W2797785016","https://openalex.org/W2985411437","https://openalex.org/W2963370879","https://openalex.org/W2915013665","https://openalex.org/W4293054771","https://openalex.org/W2574189006"],"abstract_inverted_index":{"Emojis":[0],"have":[1],"been":[2],"widely":[3],"used":[4,112],"to":[5,48],"simplify":[6],"emotional":[7],"expression":[8],"and":[9,37,50,54,58,101,108,122],"enrich":[10],"user":[11,52],"experience.":[12],"As":[13],"an":[14,62],"interesting":[15],"practice":[16],"of":[17,44,90,93,110,125,128],"ubiquitous":[18],"computing,":[19],"emojis":[20,45,69,111],"are":[21],"adopted":[22],"by":[23,113],"Internet":[24],"users":[25,67,97,115],"from":[26,78,98,132],"many":[27,31,39],"different":[28,133,137],"countries,":[29],"on":[30,35,64,71,139],"devices":[32],"(particularly":[33],"popular":[34,80],"smartphones),":[36],"in":[38],"applications.":[40],"The":[41,83],"\"ubiquitous\"":[42],"usage":[43,92],"enables":[46],"us":[47],"study":[49],"compare":[51],"behaviors":[53],"preferences":[55,138],"across":[56],"countries":[57,100,134],"cultures.":[59],"We":[60,103],"present":[61,135],"analysis":[63],"how":[65],"smartphone":[66,129],"use":[68],"based":[70],"a":[72,79,87],"very":[73],"large":[74],"data":[75,84],"set":[76,85],"collected":[77],"emoji":[81,91],"keyboard.":[82],"contains":[86],"complete":[88],"month":[89],"3.88":[94],"million":[95],"active":[96],"212":[99],"regions.":[102],"demonstrate":[104],"that":[105],"the":[106,120,123,144],"categories":[107],"frequencies":[109],"these":[114],"provide":[116],"rich":[117],"signals":[118],"for":[119],"identification":[121],"understanding":[124],"cultural":[126,147],"differences":[127],"users.":[130],"Users":[131],"significantly":[136],"emojis,":[140],"which":[141],"complies":[142],"with":[143],"well-known":[145],"Hofstede's":[146],"dimensions":[148],"model.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":51},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":27},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":25},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}