{"id":"https://openalex.org/W2946515463","doi":"https://doi.org/10.1145/3308558.3320097","title":"Socially Responsible Natural Language Processing","display_name":"Socially Responsible Natural Language Processing","publication_year":2019,"publication_date":"2019-05-13","ids":{"openalex":"https://openalex.org/W2946515463","doi":"https://doi.org/10.1145/3308558.3320097","mag":"2946515463"},"language":"en","primary_location":{"id":"doi:10.1145/3308558.3320097","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3320097","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3308558.3320097","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of The 2019 World Wide Web Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3308558.3320097","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062910836","display_name":"Yulia Tsvetkov","orcid":"https://orcid.org/0000-0002-4634-7128"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yulia Tsvetkov","raw_affiliation_strings":["Carnegie Mellon Univ"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon Univ","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019297976","display_name":"Vinodkumar Prabhakaran","orcid":"https://orcid.org/0000-0003-3329-2305"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vinodkumar Prabhakaran","raw_affiliation_strings":["Google LLC"],"affiliations":[{"raw_affiliation_string":"Google LLC","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070966744","display_name":"Rob Voigt","orcid":"https://orcid.org/0000-0003-3743-0322"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rob Voigt","raw_affiliation_strings":["Stanford Univ"],"affiliations":[{"raw_affiliation_string":"Stanford Univ","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5062910836"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.06826326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1326","last_page":"1326"},"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":0.8259000182151794,"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":0.8259000182151794,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6886751651763916},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6285592317581177},{"id":"https://openalex.org/keywords/ethical-issues","display_name":"Ethical issues","score":0.5180097222328186},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.4837470054626465},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.44421157240867615},{"id":"https://openalex.org/keywords/checklist","display_name":"Checklist","score":0.43115586042404175},{"id":"https://openalex.org/keywords/engineering-ethics","display_name":"Engineering ethics","score":0.3685486316680908},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.34830066561698914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18170320987701416},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1478573977947235},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11052849888801575}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6886751651763916},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6285592317581177},{"id":"https://openalex.org/C2986663376","wikidata":"https://www.wikidata.org/wiki/Q9465","display_name":"Ethical issues","level":2,"score":0.5180097222328186},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.4837470054626465},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.44421157240867615},{"id":"https://openalex.org/C2779356329","wikidata":"https://www.wikidata.org/wiki/Q922625","display_name":"Checklist","level":2,"score":0.43115586042404175},{"id":"https://openalex.org/C55587333","wikidata":"https://www.wikidata.org/wiki/Q1133029","display_name":"Engineering ethics","level":1,"score":0.3685486316680908},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.34830066561698914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18170320987701416},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1478573977947235},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11052849888801575},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3308558.3320097","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3320097","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3308558.3320097","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of The 2019 World Wide Web Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3308558.3320097","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3320097","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3308558.3320097","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of The 2019 World Wide Web Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.75,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2946515463.pdf","grobid_xml":"https://content.openalex.org/works/W2946515463.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4234875088","https://openalex.org/W2013796470","https://openalex.org/W2420514274","https://openalex.org/W2001467811","https://openalex.org/W4362687946","https://openalex.org/W1971633942","https://openalex.org/W2902805979","https://openalex.org/W2987114614","https://openalex.org/W2808458916","https://openalex.org/W2145923542"],"abstract_inverted_index":{"As":[0],"language":[1],"technologies":[2,47],"have":[3,27],"become":[4],"increasingly":[5],"prevalent":[6],"in":[7,117],"analyzing":[8],"online":[9],"data,":[10,22,68],"there":[11],"is":[12],"a":[13,82],"growing":[14],"awareness":[15],"that":[16,66,72,87],"decisions":[17],"we":[18],"make":[19],"about":[20],"our":[21],"methods,":[23],"and":[24,32,48,70,103],"tools":[25,63,79],"often":[26,106],"immense":[28],"impact":[29,104],"on":[30],"people":[31],"societies.":[33],"This":[34],"tutorial":[35,110],"will":[36,80,111],"provide":[37,56],"an":[38,60],"overview":[39,61],"of":[40,43,62,84,100],"real-world":[41],"applications":[42],"Natural":[44],"Language":[45],"Processing":[46],"their":[49],"potential":[50],"ethical":[51],"implications.":[52],"We":[53],"intend":[54],"to":[55,64,95],"the":[57,67,114],"researchers":[58],"with":[59],"ensure":[65],"algorithms,":[69],"models":[71],"they":[73],"build":[74],"are":[75,105],"socially":[76],"responsible.":[77],"These":[78],"include":[81],"checklist":[83],"common":[85],"pitfalls":[86],"one":[88],"should":[89],"avoid,":[90],"as":[91,93],"well":[92],"methods":[94],"mitigate":[96],"these":[97],"issues.":[98],"Issues":[99],"bias,":[101],"ethics,":[102],"not":[107],"clear-cut;":[108],"this":[109,118],"also":[112],"discuss":[113],"complexities":[115],"inherent":[116],"area.":[119]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-11T06:11:40.159057","created_date":"2025-10-10T00:00:00"}