{"id":"https://openalex.org/W7131413107","doi":"https://doi.org/10.48550/arxiv.2602.20314","title":"Rapid Testing, Duck Lips, and Tilted Cameras: Youth Everyday Algorithm Auditing Practices with Generative AI Filters","display_name":"Rapid Testing, Duck Lips, and Tilted Cameras: Youth Everyday Algorithm Auditing Practices with Generative AI Filters","publication_year":2026,"publication_date":"2026-02-23","ids":{"openalex":"https://openalex.org/W7131413107","doi":"https://doi.org/10.48550/arxiv.2602.20314"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2602.20314","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.20314","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":null,"license_id":null,"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.2602.20314","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038149779","display_name":"Lauren Vogelstein","orcid":"https://orcid.org/0000-0002-2317-2513"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vogelstein, Lauren","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126843765","display_name":"Vedya Konda","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Konda, Vedya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080237399","display_name":"Deborah A. Fields","orcid":"https://orcid.org/0000-0003-1627-9512"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fields, Deborah","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126816250","display_name":"Yasmin Kafai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kafai, Yasmin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090479228","display_name":"Luis Morales\u2010Navarro","orcid":"https://orcid.org/0000-0002-8777-2374"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Morales-Navarro, Luis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5086524212","display_name":"Dana\u00eb Metaxa","orcid":"https://orcid.org/0000-0001-9359-6090"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Metaxa, Dana\u00e9","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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.3312999904155731,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.3312999904155731,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"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/T10533","display_name":"Teaching and Learning Programming","score":0.13279999792575836,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T12128","display_name":"AI in Service Interactions","score":0.017500000074505806,"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/everyday-life","display_name":"Everyday life","score":0.7265999913215637},{"id":"https://openalex.org/keywords/audit","display_name":"Audit","score":0.6323000192642212},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6101999878883362},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.545199990272522},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.3303999900817871},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.2992999851703644}],"concepts":[{"id":"https://openalex.org/C2779018934","wikidata":"https://www.wikidata.org/wiki/Q1129653","display_name":"Everyday life","level":2,"score":0.7265999913215637},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.6323000192642212},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6101999878883362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5914999842643738},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.545199990272522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5317999720573425},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3889999985694885},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.382099986076355},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.3303999900817871},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C184356942","wikidata":"https://www.wikidata.org/wiki/Q830382","display_name":"Best practice","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25699999928474426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2602.20314","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.20314","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2602.20314","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.20314","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8638237714767456}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Today's":[0],"youth":[1,19,61,81],"have":[2],"extensive":[3,78],"experience":[4],"interacting":[5,68],"with":[6,47,69,80,85],"artificial":[7],"intelligence":[8],"and":[9,27,77,89,115],"machine":[10],"learning":[11],"applications":[12,46],"on":[13,73],"popular":[14],"social":[15],"media":[16],"platforms,":[17],"putting":[18],"in":[20,43],"a":[21,35,106],"unique":[22],"position":[23],"to":[24,92],"examine,":[25],"evaluate,":[26],"even":[28],"challenge":[29],"these":[30,102],"applications.":[31],"Algorithm":[32],"auditing":[33,65],"is":[34],"promising":[36],"candidate":[37],"for":[38,108],"connecting":[39],"youth's":[40],"everyday":[41,63,114],"practices":[42,66],"using":[44],"AI":[45,71],"more":[48,116],"formal":[49,117],"scientific":[50],"literacies":[51],"(syncretic":[52],"designs).":[53],"In":[54,96],"this":[55],"paper,":[56],"we":[57,99],"analyze":[58],"high":[59],"school":[60],"participants'":[62],"algorithm":[64,118],"when":[67],"generative":[70],"filters":[72,84],"TikTok,":[74],"revealing":[75],"thorough":[76],"examinations,":[79],"rapidly":[82],"testing":[83],"sophisticated":[86],"camera":[87],"variations":[88],"facial":[90],"manipulations":[91],"identify":[93],"filter":[94],"limitations.":[95],"the":[97],"discussion,":[98],"address":[100],"how":[101],"findings":[103],"can":[104],"provide":[105],"foundation":[107],"developing":[109],"designs":[110],"that":[111],"bring":[112],"together":[113],"auditing.":[119]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-02-26T00:00:00"}