{"id":"https://openalex.org/W4405066557","doi":"https://doi.org/10.3389/frma.2024.1331589","title":"Paradigm shifts: exploring AI's influence on qualitative inquiry and analysis","display_name":"Paradigm shifts: exploring AI's influence on qualitative inquiry and analysis","publication_year":2024,"publication_date":"2024-12-05","ids":{"openalex":"https://openalex.org/W4405066557","doi":"https://doi.org/10.3389/frma.2024.1331589","pmid":"https://pubmed.ncbi.nlm.nih.gov/39703400"},"language":"en","primary_location":{"id":"doi:10.3389/frma.2024.1331589","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frma.2024.1331589","pdf_url":"https://www.frontiersin.org/journals/research-metrics-and-analytics/articles/10.3389/frma.2024.1331589/pdf","source":{"id":"https://openalex.org/S2596295431","display_name":"Frontiers in Research Metrics and Analytics","issn_l":"2504-0537","issn":["2504-0537"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Research Metrics and Analytics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/journals/research-metrics-and-analytics/articles/10.3389/frma.2024.1331589/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020153454","display_name":"Ryan Williams","orcid":"https://orcid.org/0000-0002-7708-8907"},"institutions":[{"id":"https://openalex.org/I874055015","display_name":"Teesside University","ror":"https://ror.org/03z28gk75","country_code":"GB","type":"education","lineage":["https://openalex.org/I874055015"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ryan Thomas Williams","raw_affiliation_strings":["Teesside University International Business School, TU Online, Teesside University, Middlesbrough, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Teesside University International Business School, TU Online, Teesside University, Middlesbrough, United Kingdom","institution_ids":["https://openalex.org/I874055015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5020153454"],"corresponding_institution_ids":["https://openalex.org/I874055015"],"apc_list":{"value":950,"currency":"USD","value_usd":950},"apc_paid":{"value":950,"currency":"USD","value_usd":950},"fwci":57.4528,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.99786518,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"9","issue":null,"first_page":"1331589","last_page":"1331589"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9524000287055969,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9524000287055969,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9433000087738037,"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/T13051","display_name":"Qualitative Comparative Analysis Research","score":0.9340000152587891,"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/qualitative-analysis","display_name":"Qualitative analysis","score":0.47931161522865295},{"id":"https://openalex.org/keywords/qualitative-research","display_name":"Qualitative research","score":0.43603450059890747},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.3851225972175598},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3356270492076874},{"id":"https://openalex.org/keywords/social-science","display_name":"Social science","score":0.23967626690864563}],"concepts":[{"id":"https://openalex.org/C3018587665","wikidata":"https://www.wikidata.org/wiki/Q7268696","display_name":"Qualitative analysis","level":3,"score":0.47931161522865295},{"id":"https://openalex.org/C190248442","wikidata":"https://www.wikidata.org/wiki/Q839486","display_name":"Qualitative research","level":2,"score":0.43603450059890747},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.3851225972175598},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3356270492076874},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.23967626690864563}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/frma.2024.1331589","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frma.2024.1331589","pdf_url":"https://www.frontiersin.org/journals/research-metrics-and-analytics/articles/10.3389/frma.2024.1331589/pdf","source":{"id":"https://openalex.org/S2596295431","display_name":"Frontiers in Research Metrics and Analytics","issn_l":"2504-0537","issn":["2504-0537"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Research Metrics and Analytics","raw_type":"journal-article"},{"id":"pmid:39703400","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39703400","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in research metrics and analytics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11656929","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11656929","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11656929/pdf/frma-09-1331589.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Res Metr Anal","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:8284372222c84557b1713cd3ab9bd81a","is_oa":false,"landing_page_url":"https://doaj.org/article/8284372222c84557b1713cd3ab9bd81a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Research Metrics and Analytics, Vol 9 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/frma.2024.1331589","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frma.2024.1331589","pdf_url":"https://www.frontiersin.org/journals/research-metrics-and-analytics/articles/10.3389/frma.2024.1331589/pdf","source":{"id":"https://openalex.org/S2596295431","display_name":"Frontiers in Research Metrics and Analytics","issn_l":"2504-0537","issn":["2504-0537"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Research Metrics and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5899999737739563,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405066557.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W73833652","https://openalex.org/W79229537","https://openalex.org/W1499988598","https://openalex.org/W1520694115","https://openalex.org/W1676351048","https://openalex.org/W1741321747","https://openalex.org/W1979290264","https://openalex.org/W1991536566","https://openalex.org/W2001771035","https://openalex.org/W2029667125","https://openalex.org/W2085082285","https://openalex.org/W2100132722","https://openalex.org/W2326726940","https://openalex.org/W2735575534","https://openalex.org/W2803876882","https://openalex.org/W2904927769","https://openalex.org/W2950504429","https://openalex.org/W2971613564","https://openalex.org/W2999152632","https://openalex.org/W3032672158","https://openalex.org/W3092054955","https://openalex.org/W3127366269","https://openalex.org/W3170233936","https://openalex.org/W3172270298","https://openalex.org/W3217379076","https://openalex.org/W4206681295","https://openalex.org/W4221163727","https://openalex.org/W4231603734","https://openalex.org/W4288327064","https://openalex.org/W4299805482","https://openalex.org/W4307853480","https://openalex.org/W4309073386","https://openalex.org/W4309975192","https://openalex.org/W4320916094","https://openalex.org/W4361212561","https://openalex.org/W4382141975","https://openalex.org/W4385878021","https://openalex.org/W4386001316","https://openalex.org/W4390665705","https://openalex.org/W4400690451","https://openalex.org/W6637639269","https://openalex.org/W6841065016","https://openalex.org/W6853576525"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2046541833","https://openalex.org/W1499806064","https://openalex.org/W4240869053","https://openalex.org/W2140472019","https://openalex.org/W2057857755","https://openalex.org/W2261353938","https://openalex.org/W4316090175","https://openalex.org/W2898960644"],"abstract_inverted_index":{"Technology":[0],"has":[1,10,35,80],"mostly":[2,112],"been":[3],"embraced":[4,145],"in":[5,24,40,146,149,213],"qualitative":[6,15,33,69,147,170],"research":[7,99,148,185],"as":[8,57],"it":[9,79],"not":[11,136],"directly":[12],"conflicted":[13],"with":[14,42,114,130,221],"methods'":[16],"paradigmatic":[17],"underpinnings.":[18],"However,":[19],"Artificial":[20],"Intelligence":[21],"(AI),":[22],"and":[23,91,108,133,177,211],"particular":[25],"the":[26,30,36,43,76,85,89,102,115,120,166,190,199],"process":[27,153],"of":[28,32,45,93,122,169,201],"automating":[29],"analysis":[31,77],"research,":[34],"potential":[37],"to":[38,51,64,67,157,183,208],"be":[39,65,144],"conflict":[41],"assumptions":[44],"interpretivism.":[46,222],"The":[47],"short":[48],"article":[49],"aims":[50],"explore":[52],"how":[53],"AI":[54,117,142,176,206],"technologies,":[55],"such":[56],"Natural":[58],"Language":[59],"Processing":[60],"(NLP),":[61],"have":[62],"started":[63],"used":[66],"analyze":[68],"data.":[70],"While":[71,205],"this":[72],"can":[73],"speed":[74],"up":[75],"process,":[78],"also":[81],"sparked":[82],"debates":[83],"within":[84],"interpretive":[86],"paradigm":[87],"about":[88,218],"validity":[90],"ethics":[92],"these":[94],"methods.":[95],"I":[96],"argue":[97],"that":[98,154,162,175,187],"underpinned":[100],"by":[101],"human":[103,123],"researcher":[104],"for":[105],"contextual":[106],"understanding":[107],"final":[109],"interpretation":[110],"should":[111],"remain":[113,217],"researcher.":[116,193],"might":[118,197],"overlook":[119],"subtleties":[121],"communication.":[124],"This":[125],"is":[126,173],"because":[127],"automated":[128],"programmes":[129],"clear":[131],"rules":[132],"formulae":[134],"do":[135],"work":[137],"well-under":[138],"interpretivism's":[139],"assumptions.":[140],"Nevertheless,":[141],"may":[143,181],"a":[150,202],"partial":[151],"automation":[152],"enables":[155],"researchers":[156],"conduct":[158],"rigorous,":[159],"rapid":[160],"studies":[161],"more":[163],"easily":[164],"incorporate":[165],"many":[167],"benefits":[168],"research.":[171],"It":[172],"possible":[174],"other":[178],"technological":[179],"advancements":[180],"lead":[182],"new":[184],"paradigms":[186],"better":[188],"underpin":[189],"contemporary":[191],"digital":[192],"For":[194],"example,":[195],"we":[196],"see":[198],"rise":[200],"\"computational\"":[203],"paradigm.":[204],"promises":[207],"enhance":[209],"efficiency":[210],"rigor":[212],"data":[214],"analysis,":[215],"concerns":[216],"its":[219],"alignment":[220]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":21}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
