{"id":"https://openalex.org/W7165618280","doi":"https://doi.org/10.1145/3805689.3806725","title":"Adinkra Symbols through Generative AI: A Semiotic Analysis of Emoji-Based Translation","display_name":"Adinkra Symbols through Generative AI: A Semiotic Analysis of Emoji-Based Translation","publication_year":2026,"publication_date":"2026-06-23","ids":{"openalex":"https://openalex.org/W7165618280","doi":"https://doi.org/10.1145/3805689.3806725"},"language":null,"primary_location":{"id":"doi:10.1145/3805689.3806725","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805689.3806725","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3805689.3806725","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017801773","display_name":"Jaye Nias","orcid":"https://orcid.org/0000-0003-0909-3197"},"institutions":[{"id":"https://openalex.org/I118458328","display_name":"Spelman College","ror":"https://ror.org/02fvaj957","country_code":"US","type":"education","lineage":["https://openalex.org/I118458328"]},{"id":"https://openalex.org/I137853757","display_name":"Howard University","ror":"https://ror.org/05gt1vc06","country_code":"US","type":"education","lineage":["https://openalex.org/I137853757"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jaye Nias","raw_affiliation_strings":["Electrical Engineering and Computer Science, Howard University, Washington, District of Columbia, USA, and Computer Science, Spelman College, Atlanta, Georgia, USA"],"raw_orcid":"https://orcid.org/0000-0003-0909-3197","affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science, Howard University, Washington, District of Columbia, USA, and Computer Science, Spelman College, Atlanta, Georgia, USA","institution_ids":["https://openalex.org/I118458328","https://openalex.org/I137853757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055936582","display_name":"Saurav K. Aryal","orcid":"https://orcid.org/0000-0001-9815-9295"},"institutions":[{"id":"https://openalex.org/I137853757","display_name":"Howard University","ror":"https://ror.org/05gt1vc06","country_code":"US","type":"education","lineage":["https://openalex.org/I137853757"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saurav K. Aryal","raw_affiliation_strings":["Howard University, Washington, District of Columbia, USA"],"raw_orcid":"https://orcid.org/0000-0001-9815-9295","affiliations":[{"raw_affiliation_string":"Howard University, Washington, District of Columbia, USA","institution_ids":["https://openalex.org/I137853757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006950686","display_name":"Kamili Campbell","orcid":"https://orcid.org/0009-0009-6918-1472"},"institutions":[{"id":"https://openalex.org/I137853757","display_name":"Howard University","ror":"https://ror.org/05gt1vc06","country_code":"US","type":"education","lineage":["https://openalex.org/I137853757"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kamili Campbell","raw_affiliation_strings":["Howard University, Washington, District of Columbia, USA"],"raw_orcid":"https://orcid.org/0009-0009-6918-1472","affiliations":[{"raw_affiliation_string":"Howard University, Washington, District of Columbia, USA","institution_ids":["https://openalex.org/I137853757"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112756635","display_name":"Kevin R. Cooper","orcid":"https://orcid.org/0009-0008-2743-1288"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krystal Cooper","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, New York, USA"],"raw_orcid":"https://orcid.org/0009-0008-2743-1288","affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, New York, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049114546","display_name":"Toby Douglas","orcid":"https://orcid.org/0009-0000-9026-7777"},"institutions":[{"id":"https://openalex.org/I137853757","display_name":"Howard University","ror":"https://ror.org/05gt1vc06","country_code":"US","type":"education","lineage":["https://openalex.org/I137853757"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thane Douglass","raw_affiliation_strings":["Howard University, Washington, District of Columbia, USA"],"raw_orcid":"https://orcid.org/0009-0000-9026-7777","affiliations":[{"raw_affiliation_string":"Howard University, Washington, District of Columbia, USA","institution_ids":["https://openalex.org/I137853757"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5139209940","display_name":"Janelle Nana Akokua Yankey","orcid":"https://orcid.org/0009-0006-5679-7372"},"institutions":[{"id":"https://openalex.org/I137853757","display_name":"Howard University","ror":"https://ror.org/05gt1vc06","country_code":"US","type":"education","lineage":["https://openalex.org/I137853757"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Janelle Nana Akokua Yankey","raw_affiliation_strings":["Howard University, Washington, District of Columbia, USA"],"raw_orcid":"https://orcid.org/0009-0006-5679-7372","affiliations":[{"raw_affiliation_string":"Howard University, Washington, District of Columbia, USA","institution_ids":["https://openalex.org/I137853757"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.77654974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1340","last_page":"1354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13155","display_name":"Digital Communication and Language","score":0.5672000050544739,"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":0.5672000050544739,"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/T13959","display_name":"Swearing, Euphemism, Multilingualism","score":0.03880000114440918,"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/T12353","display_name":"Lexicography and Language Studies","score":0.02500000037252903,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/semiotics","display_name":"Semiotics","score":0.5928999781608582},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5127999782562256},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4957999885082245},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3625999987125397},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.28439998626708984}],"concepts":[{"id":"https://openalex.org/C139997677","wikidata":"https://www.wikidata.org/wiki/Q60195","display_name":"Semiotics","level":2,"score":0.5928999781608582},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.5702000260353088},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5127999782562256},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4982999861240387},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4957999885082245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4214000105857849},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4099000096321106},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3625999987125397},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.28439998626708984},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2759999930858612}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3805689.3806725","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805689.3806725","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3805689.3806725","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805689.3806725","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.586467981338501,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2040859983","https://openalex.org/W2966092773","https://openalex.org/W3037831233","https://openalex.org/W4252633962","https://openalex.org/W4415770000","https://openalex.org/W4415870464"],"related_works":[],"abstract_inverted_index":{"As":[0],"generative":[1,29,60,82],"artificial":[2],"intelligence":[3],"(AI)":[4],"systems":[5,31,62,130],"are":[6],"increasingly":[7],"used":[8],"to":[9],"translate":[10],"and":[11,48,101,109,112,119],"re-express":[12],"cultural":[13,94,132],"materials,":[14],"questions":[15],"arise":[16],"about":[17],"the":[18,49,149],"representational":[19,65,129,153],"resources":[20,154],"through":[21],"which":[22],"translation":[23],"occurs.":[24],"This":[25],"paper":[26],"examines":[27],"how":[28,81],"AI":[30,61],"express":[32],"culturally":[33],"grounded":[34],"symbolic":[35],"knowledge":[36],"when":[37],"operating":[38],"within":[39],"a":[40,54,64],"standardized":[41,128,159],"visual":[42],"vocabulary.":[43],"Using":[44],"Ghanaian":[45],"Adinkra":[46,88],"symbols":[47,89],"Unicode":[50],"emoji":[51],"standard":[52],"as":[53],"case":[55],"study,":[56],"we":[57],"show":[58],"that":[59,67,127,155],"produce":[63,84],"vocabulary":[66],"delimits":[68],"what":[69,138],"kinds":[70],"of":[71,87,93,116],"meaning":[72],"can":[73],"be":[74],"expressed,":[75],"approximated,":[76],"or":[77,142],"excluded.":[78],"We":[79],"analyze":[80],"models":[83],"emoji-based":[85],"representations":[86],"under":[90],"different":[91],"forms":[92],"context,":[95],"including":[96],"symbol":[97,160],"names,":[98],"associated":[99],"proverbs,":[100],"attributed":[102],"meanings.":[103],"Our":[104,124],"analysis":[105],"distinguishes":[106],"between":[107],"form-level":[108],"referential":[110],"correspondence,":[111],"documents":[113],"recurring":[114],"patterns":[115],"convergence,":[117],"approximation,":[118],"omission":[120],"across":[121],"model":[122],"outputs.":[123],"findings":[125],"suggest":[126],"mediate":[131],"expression":[133],"in":[134],"AI-assisted":[135],"contexts,":[136],"shaping":[137],"becomes":[139],"legible,":[140],"translatable,":[141],"lost.":[143],"In":[144],"particular,":[145],"this":[146],"work":[147],"underscores":[148],"need":[150],"for":[151],"alternative":[152],"move":[156],"beyond":[157],"globally":[158],"sets.":[161]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-06-24T00:00:00"}
