{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T06:17:06Z","timestamp":1782281826955,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":95,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T00:00:00Z","timestamp":1745539200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CHS 1901151\/1901329"],"award-info":[{"award-number":["CHS 1901151\/1901329"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,4,26]]},"DOI":"10.1145\/3706598.3713897","type":"proceedings-article","created":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T03:20:47Z","timestamp":1745464847000},"page":"1-17","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Generative AI and Perceptual Harms: Who's Suspected of using LLMs?"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1248-0385","authenticated-orcid":false,"given":"Kowe","family":"Kadoma","sequence":"first","affiliation":[{"name":"Cornell University, Ithaca, New York, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9359-6090","authenticated-orcid":false,"given":"Dana\u00e9","family":"Metaxa","sequence":"additional","affiliation":[{"name":"University of Pennsylvania, Philadelphia, Pennsylvania, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6436-3877","authenticated-orcid":false,"given":"Mor","family":"Naaman","sequence":"additional","affiliation":[{"name":"Cornell Tech, New York, New York, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,4,25]]},"reference":[{"key":"e_1_3_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/3461702.3462624"},{"key":"e_1_3_3_3_3_2","unstructured":"Dhruv Agarwal Mor Naaman and Aditya Vashistha. 2024. AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances. arxiv:https:\/\/arXiv.org\/abs\/2409.11360\u00a0[cs.HC] https:\/\/arxiv.org\/abs\/2409.11360"},{"key":"e_1_3_3_3_4_2","doi-asserted-by":"crossref","unstructured":"David Baidoo-Anu and Leticia\u00a0Owusu Ansah. 2023. Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI 7 1 (2023) 52\u201362.","DOI":"10.61969\/jai.1337500"},{"key":"e_1_3_3_3_5_2","doi-asserted-by":"crossref","unstructured":"Lucas Bellaiche Rohin Shahi Martin\u00a0Harry Turpin Anya Ragnhildstveit Shawn Sprockett Nathaniel Barr Alexander Christensen and Paul Seli. 2023. Humans versus AI: whether and why we prefer human-created compared to AI-created artwork. Cognitive Research: Principles and Implications 8 1 (2023) 42.","DOI":"10.1186\/s41235-023-00499-6"},{"key":"e_1_3_3_3_6_2","doi-asserted-by":"crossref","unstructured":"Marianne Bertrand and Sendhil Mullainathan. 2004. Are Emily and Greg more employable than Lakisha and Jamal? A field experiment on labor market discrimination. American economic review 94 4 (2004) 991\u20131013.","DOI":"10.1257\/0002828042002561"},{"key":"e_1_3_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/3581641.3584060"},{"key":"e_1_3_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/3643834.3660722"},{"key":"e_1_3_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445372"},{"key":"e_1_3_3_3_10_2","unstructured":"Jenna Butler Sonia Jaffe Nancy Baym Mary Czerwinski Shamsi Iqbal Kate Nowak Sean Rintel Abigail Sellen Mihaela Vorvoreanu Najeeb\u00a0G. Abdulhamid and et al.2024. Microsoft New Future of Work Report 2023. https:\/\/www.microsoft.com\/en-us\/research\/publication\/microsoft-new-future-of-work-report-2023\/"},{"key":"e_1_3_3_3_11_2","doi-asserted-by":"crossref","unstructured":"Paola Catenaccio. 2008. Press releases as a hybrid genre: Addressing the informative\/promotional conundrum. Pragmatics. Quarterly Publication of the International Pragmatics Association (IPrA) 18 1 (2008) 9\u201331.","DOI":"10.1075\/prag.18.1.02cat"},{"key":"e_1_3_3_3_12_2","doi-asserted-by":"crossref","unstructured":"Cecilia Ka\u00a0Yuk Chan and Wenjie Hu. 2023. Students\u2019 voices on generative AI: Perceptions benefits and challenges in higher education. International Journal of Educational Technology in Higher Education 20 1 (2023) 43.","DOI":"10.1186\/s41239-023-00411-8"},{"key":"e_1_3_3_3_13_2","doi-asserted-by":"crossref","unstructured":"Grace\u00a0A Chen and Jason\u00a0Y Buell. 2018. Of models and myths: Asian (Americans) in STEM and the neoliberal racial project. Race Ethnicity and Education 21 5 (2018) 607\u2013625.","DOI":"10.1080\/13613324.2017.1377170"},{"key":"e_1_3_3_3_14_2","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557235"},{"key":"e_1_3_3_3_15_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.565"},{"key":"e_1_3_3_3_16_2","doi-asserted-by":"publisher","unstructured":"Shelley\u00a0J. Correll Stephen Benard and In Paik. 2007. Getting a Job: Is There a Motherhood Penalty? Amer. J. Sociology 112 5 (2007) 1297\u20131338. 10.1086\/511799","DOI":"10.1086\/511799"},{"key":"e_1_3_3_3_17_2","unstructured":"Kate Crawford. 2016. Artificial Intelligence\u2019s White Guy Problem. New York Times (June 2016)."},{"key":"e_1_3_3_3_18_2","doi-asserted-by":"publisher","DOI":"10.1145\/3379337.3415857"},{"key":"e_1_3_3_3_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9413310"},{"key":"e_1_3_3_3_20_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.501"},{"key":"e_1_3_3_3_21_2","doi-asserted-by":"publisher","unstructured":"Fiona Draxler Anna Werner Florian Lehmann Matthias Hoppe Albrecht Schmidt Daniel Buschek and Robin Welsch. 2024. The AI Ghostwriter Effect: When Users do not Perceive Ownership of AI-Generated Text but Self-Declare as Authors. ACM Trans. Comput.-Hum. Interact. 31 2 Article 25 (feb 2024) 40\u00a0pages. 10.1145\/3637875","DOI":"10.1145\/3637875"},{"key":"e_1_3_3_3_22_2","doi-asserted-by":"crossref","unstructured":"Ziv Epstein Aaron Hertzmann Investigators of Human\u00a0Creativity Memo Akten Hany Farid Jessica Fjeld Morgan\u00a0R Frank Matthew Groh Laura Herman Neil Leach et\u00a0al. 2023. Art and the science of generative AI. Science 380 6650 (2023) 1110\u20131111.","DOI":"10.1126\/science.adh4451"},{"key":"e_1_3_3_3_23_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10635"},{"key":"e_1_3_3_3_24_2","doi-asserted-by":"crossref","unstructured":"Katherine Fink. 2019. The biggest challenge facing journalism: A lack of trust. Journalism 20 1 (2019) 40\u201343.","DOI":"10.1177\/1464884918807069"},{"key":"e_1_3_3_3_25_2","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376514"},{"key":"e_1_3_3_3_26_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3641955"},{"key":"e_1_3_3_3_27_2","doi-asserted-by":"crossref","unstructured":"S\u00a0Michael Gaddis. 2017. How black are Lakisha and Jamal? Racial perceptions from names used in correspondence audit studies. Sociological Science 4 (2017) 469\u2013489.","DOI":"10.15195\/v4.a19"},{"key":"e_1_3_3_3_28_2","unstructured":"Sanjana Gautam Pranav\u00a0Narayanan Venkit and Sourojit Ghosh. 2024. From melting pots to misrepresentations: Exploring harms in generative ai. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2403.10776 (2024)."},{"key":"e_1_3_3_3_29_2","doi-asserted-by":"publisher","DOI":"10.1145\/3532106.3533533"},{"key":"e_1_3_3_3_30_2","doi-asserted-by":"crossref","unstructured":"Sourojit Ghosh and Aylin Caliskan. 2023. \u2019Person\u2019== Light-skinned Western Man and Sexualization of Women of Color: Stereotypes in Stable Diffusion. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2310.19981 (2023).","DOI":"10.18653\/v1\/2023.findings-emnlp.465"},{"key":"e_1_3_3_3_31_2","doi-asserted-by":"crossref","unstructured":"Auro\u00a0Del Giglio and Mateus Uerlei Pereira\u00a0da Costa. 2023. The use of artificial intelligence to improve the scientific writing of non-native english speakers. Revista da Associa\u00e7\u00e3o M\u00e9dica Brasileira 69 9 (2023) e20230560.","DOI":"10.1590\/1806-9282.20230560"},{"key":"e_1_3_3_3_32_2","unstructured":"United\u00a0States Government. [n. d.]. https:\/\/www.usa.gov\/official-language-of-us"},{"key":"e_1_3_3_3_33_2","unstructured":"Roberto Gozalo-Brizuela and Eduardo\u00a0C Garrido-Merchan. 2023. ChatGPT is not all you need. A State of the Art Review of large Generative AI models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2301.04655 (2023)."},{"key":"e_1_3_3_3_34_2","doi-asserted-by":"crossref","unstructured":"Jeffrey\u00a0T Hancock Mor Naaman and Karen Levy. 2020. AI-mediated communication: Definition research agenda and ethical considerations. Journal of Computer-Mediated Communication 25 1 (2020) 89\u2013100.","DOI":"10.1093\/jcmc\/zmz022"},{"key":"e_1_3_3_3_35_2","doi-asserted-by":"publisher","DOI":"10.1145\/2998181.2998327"},{"key":"e_1_3_3_3_36_2","doi-asserted-by":"crossref","unstructured":"Matthias Haslberger Jane Gingrich and Jasmine Bhatia. 2023. No great equalizer: experimental evidence on AI in the UK labor market. Available at SSRN (2023).","DOI":"10.2139\/ssrn.4594466"},{"key":"e_1_3_3_3_37_2","doi-asserted-by":"crossref","unstructured":"Bernie Hogan and Brent Berry. 2011. Racial and ethnic biases in rental housing: An audit study of online apartment listings. City & community 10 4 (2011) 351\u2013372.","DOI":"10.1111\/j.1540-6040.2011.01376.x"},{"key":"e_1_3_3_3_38_2","doi-asserted-by":"crossref","unstructured":"Jess Hohenstein Rene\u00a0F Kizilcec Dominic DiFranzo Zhila Aghajari Hannah Mieczkowski Karen Levy Mor Naaman Jeffrey Hancock and Malte\u00a0F Jung. 2023. Artificial intelligence in communication impacts language and social relationships. Scientific Reports 13 1 (2023) 5487.","DOI":"10.1038\/s41598-023-30938-9"},{"key":"e_1_3_3_3_39_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-91244-8_24"},{"key":"e_1_3_3_3_40_2","unstructured":"White House. 2016. Preparing for the future of artificial intelligence. Executive Office of the President National Science and Technology Council. Committee on Technology."},{"key":"e_1_3_3_3_41_2","doi-asserted-by":"crossref","unstructured":"Xiang Hui Oren Reshef and Luofeng Zhou. 2023. The short-term effects of generative artificial intelligence on employment: Evidence from an online labor market. Available at SSRN 4527336 (2023).","DOI":"10.2139\/ssrn.4544582"},{"key":"e_1_3_3_3_42_2","doi-asserted-by":"crossref","unstructured":"Sung\u00a0Il Hwang Joon\u00a0Seo Lim Ro\u00a0Woon Lee Yusuke Matsui Toshihiro Iguchi Takao Hiraki and Hyungwoo Ahn. 2023. Is ChatGPT a \u201cfire of prometheus\u201d for non-native English-speaking researchers in academic writing? Korean Journal of Radiology 24 10 (2023) 952.","DOI":"10.3348\/kjr.2023.0773"},{"key":"e_1_3_3_3_43_2","doi-asserted-by":"crossref","unstructured":"Daphne Ippolito Daniel Duckworth Chris Callison-Burch and Douglas Eck. 2019. Automatic detection of generated text is easiest when humans are fooled. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1911.00650 (2019).","DOI":"10.18653\/v1\/2020.acl-main.164"},{"key":"e_1_3_3_3_44_2","doi-asserted-by":"publisher","DOI":"10.1145\/3531146.3533097"},{"key":"e_1_3_3_3_45_2","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300469"},{"key":"e_1_3_3_3_46_2","doi-asserted-by":"crossref","unstructured":"Maurice Jakesch Jeffrey\u00a0T Hancock and Mor Naaman. 2023. Human heuristics for AI-generated language are flawed. Proceedings of the National Academy of Sciences 120 11 (2023) e2208839120.","DOI":"10.1073\/pnas.2208839120"},{"key":"e_1_3_3_3_47_2","first-page":"702","volume-title":"International conference on artificial intelligence and statistics","author":"Jiang Heinrich","year":"2020","unstructured":"Heinrich Jiang and Ofir Nachum. 2020. Identifying and correcting label bias in machine learning. In International conference on artificial intelligence and statistics. PMLR, 702\u2013712."},{"key":"e_1_3_3_3_48_2","doi-asserted-by":"publisher","DOI":"10.1145\/3600211.3604681"},{"key":"e_1_3_3_3_49_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642650"},{"key":"e_1_3_3_3_50_2","doi-asserted-by":"publisher","DOI":"10.1145\/3461702.3462605"},{"key":"e_1_3_3_3_51_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581340"},{"key":"e_1_3_3_3_52_2","doi-asserted-by":"crossref","unstructured":"Nils K\u00f6bis and Luca\u00a0D Mossink. 2021. Artificial intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry. Computers in human behavior 114 (2021) 106553.","DOI":"10.1016\/j.chb.2020.106553"},{"key":"e_1_3_3_3_53_2","doi-asserted-by":"publisher","DOI":"10.1145\/3582269.3615599"},{"key":"e_1_3_3_3_54_2","doi-asserted-by":"publisher","DOI":"10.1145\/3654777.3676419"},{"key":"e_1_3_3_3_55_2","unstructured":"Liana\u00a0Christin Landivar. 2013. Disparities in STEM employment by sex race and Hispanic origin. Education Review 29 6 (2013) 911\u2013922."},{"key":"e_1_3_3_3_56_2","doi-asserted-by":"crossref","unstructured":"Karen Levy. 2022. Data driven: truckers technology and the new workplace surveillance. (2022).","DOI":"10.1515\/9780691241012"},{"key":"e_1_3_3_3_57_2","unstructured":"Weixin Liang Mert Yuksekgonul Yining Mao Eric Wu and James Zou. 2023. GPT detectors are biased against non-native English writers. arxiv:https:\/\/arXiv.org\/abs\/2304.02819\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/2304.02819"},{"key":"e_1_3_3_3_58_2","doi-asserted-by":"publisher","unstructured":"Sue Lim and Ralf Schm\u00e4lzle. 2024. The effect of source disclosure on evaluation of AI-generated messages. Computers in Human Behavior: Artificial Humans 2 1 (2024) 100058. 10.1016\/j.chbah.2024.100058","DOI":"10.1016\/j.chbah.2024.100058"},{"key":"e_1_3_3_3_59_2","doi-asserted-by":"crossref","unstructured":"Jin Liu Xingchen Xu Yongjun Li and Yong Tan. 2023. \" Generate\" the Future of Work through AI: Empirical Evidence from Online Labor Markets. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2308.05201 (2023).","DOI":"10.2139\/ssrn.4529739"},{"key":"e_1_3_3_3_60_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3517731"},{"key":"e_1_3_3_3_61_2","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376727"},{"key":"e_1_3_3_3_62_2","doi-asserted-by":"publisher","DOI":"10.1145\/3531146.3533077"},{"key":"e_1_3_3_3_63_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.nuse-1.5"},{"key":"e_1_3_3_3_64_2","doi-asserted-by":"crossref","unstructured":"Ebony\u00a0O McGee Bhoomi\u00a0K Thakore and Sandra\u00a0S LaBlance. 2017. The burden of being \u201cmodel\u201d: Racialized experiences of Asian STEM college students. Journal of Diversity in Higher Education 10 3 (2017) 253.","DOI":"10.1037\/dhe0000022"},{"key":"e_1_3_3_3_65_2","doi-asserted-by":"crossref","unstructured":"Ninareh Mehrabi Fred Morstatter Nripsuta Saxena Kristina Lerman and Aram Galstyan. 2021. A survey on bias and fairness in machine learning. ACM computing surveys (CSUR) 54 6 (2021) 1\u201335.","DOI":"10.1145\/3457607"},{"key":"e_1_3_3_3_66_2","doi-asserted-by":"publisher","unstructured":"Zion Mengesha Courtney Heldreth Michal Lahav Juliana Sublewski and Elyse Tuennerman. 2021. \"I don\u2019t think these devices are very culturally sensitive.\" - The impact of errors on African Americans in Automated Speech Recognition. Frontiers in Artificial Intelligence 26 (2021). 10.3389\/frai.2021.725911","DOI":"10.3389\/frai.2021.725911"},{"key":"e_1_3_3_3_67_2","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3174188"},{"key":"e_1_3_3_3_68_2","doi-asserted-by":"crossref","unstructured":"Hannah Mieczkowski Jeffrey\u00a0T Hancock Mor Naaman Malte Jung and Jess Hohenstein. 2021. AI-mediated communication: Language use and interpersonal effects in a referential communication task. Proceedings of the ACM on Human-Computer Interaction 5 CSCW1 (2021) 1\u201314.","DOI":"10.1145\/3449091"},{"key":"e_1_3_3_3_69_2","doi-asserted-by":"crossref","unstructured":"Helen\u00a0K Morgan Joel\u00a0A Purkiss Annie\u00a0C Porter Monica\u00a0L Lypson Sally\u00a0A Santen Jennifer\u00a0G Christner Cyril\u00a0M Grum and Maya\u00a0M Hammoud. 2016. Student evaluation of faculty physicians: gender differences in teaching evaluations. Journal of Women\u2019s Health 25 5 (2016) 453\u2013456.","DOI":"10.1089\/jwh.2015.5475"},{"key":"e_1_3_3_3_70_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.416"},{"key":"e_1_3_3_3_71_2","doi-asserted-by":"crossref","unstructured":"Hugo Neri and Fabio Cozman. 2020. The role of experts in the public perception of risk of artificial intelligence. AI & society 35 3 (2020) 663\u2013673.","DOI":"10.1007\/s00146-019-00924-9"},{"key":"e_1_3_3_3_72_2","doi-asserted-by":"publisher","unstructured":"Shakked Noy and Whitney Zhang. 2023. Experimental evidence on the productivity effects of generative artificial intelligence. Science 381 6654 (2023) 187\u2013192. 10.1126\/science.adh2586","DOI":"10.1126\/science.adh2586"},{"key":"e_1_3_3_3_73_2","doi-asserted-by":"crossref","unstructured":"Mike Perkins. 2023. Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond. Journal of University Teaching and Learning Practice 20 2 (2023).","DOI":"10.53761\/1.20.02.07"},{"key":"e_1_3_3_3_74_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642076"},{"key":"e_1_3_3_3_75_2","unstructured":"Julie Ray. 2024. Americans express real concerns about Artificial Intelligence. https:\/\/news.gallup.com\/poll\/648953\/americans-express-real-concerns-artificial-intelligence.aspx"},{"key":"e_1_3_3_3_76_2","doi-asserted-by":"crossref","unstructured":"Dennie Rothschild and Felicia Klingenberg. 1990. Self and peer evaluation of writing in the interactive ESL classroom: An exploratory study. TESL Canada Journal (1990) 52\u201365.","DOI":"10.18806\/tesl.v8i1.578"},{"key":"e_1_3_3_3_77_2","unstructured":"Carol Sager. 1973. Sager Writing Scale. (1973)."},{"key":"e_1_3_3_3_78_2","unstructured":"Sashaborm. 2021. Thispersondoesnotexist - random AI generated photos of fake persons. https:\/\/this-person-does-not-exist.com\/en"},{"key":"e_1_3_3_3_79_2","unstructured":"Edward Segal. 2023. New report provides reality check about freelancers in the workforce. https:\/\/www.forbes.com\/sites\/edwardsegal\/2023\/12\/12\/new-report-provides-reality-check-about-freelancers-in-the-workforce\/"},{"key":"e_1_3_3_3_80_2","doi-asserted-by":"publisher","DOI":"10.1145\/3287560.3287598"},{"key":"e_1_3_3_3_81_2","doi-asserted-by":"publisher","DOI":"10.1145\/3600211.3604673"},{"key":"e_1_3_3_3_82_2","unstructured":"Hua Shen Tiffany Knearem Reshmi Ghosh Kenan Alkiek Kundan Krishna Yachuan Liu Ziqiao Ma Savvas Petridis Yi-Hao Peng Li Qiwei Sushrita Rakshit Chenglei Si Yutong Xie Jeffrey\u00a0P. Bigham Frank Bentley Joyce Chai Zachary Lipton Qiaozhu Mei Rada Mihalcea Michael Terry Diyi Yang Meredith\u00a0Ringel Morris Paul Resnick and David Jurgens. 2024. Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications Framework and Future Directions. arxiv:https:\/\/arXiv.org\/abs\/2406.09264\u00a0[cs.HC] https:\/\/arxiv.org\/abs\/2406.09264"},{"key":"e_1_3_3_3_83_2","doi-asserted-by":"publisher","unstructured":"Nikhil Singh Guillermo Bernal Daria Savchenko and Elena\u00a0L. Glassman. 2023. Where to Hide a Stolen Elephant: Leaps in Creative Writing with Multimodal Machine Intelligence. ACM Trans. Comput.-Hum. Interact. 30 5 Article 68 (sep 2023) 57\u00a0pages. 10.1145\/3511599","DOI":"10.1145\/3511599"},{"key":"e_1_3_3_3_84_2","unstructured":"Miriam Sullivan Andrew Kelly and Paul McLaughlan. 2023. ChatGPT in higher education: Considerations for academic integrity and student learning. (2023)."},{"key":"e_1_3_3_3_85_2","doi-asserted-by":"publisher","unstructured":"Luhang Sun Mian Wei Yibing Sun Yoo\u00a0Ji Suh Liwei Shen and Sijia Yang. 2024. Smiling women pitching down: auditing representational and presentational gender biases in image-generative AI. Journal of Computer-Mediated Communication 29 1 (02 2024) zmad045. 10.1093\/jcmc\/zmad045","DOI":"10.1093\/jcmc\/zmad045"},{"key":"e_1_3_3_3_86_2","unstructured":"The\u00a0Upwork Team. 2024. https:\/\/www.upwork.com\/resources\/highest-paying-freelance-jobs"},{"key":"e_1_3_3_3_87_2","doi-asserted-by":"publisher","unstructured":"Zer Vue Chia Vang Neng Vue Vijayvardhan Kamalumpundi Taylor Barongan Bryanna Shao Sunny Huang Larry Vang Mein Vue Nancy Vang Jianqiang Shao CoohleenAnn Coombes Prasanna Katti Kaihua Liu Kailee Yoshimura Michelle Biete Dao-Fu Dai Mark\u00a0A. Phillips and Richard\u00a0R. Behringer. 2023. Asian Americans in STEM are not a monolith. Cell 186 15 (2023) 3138\u20133142. 10.1016\/j.cell.2023.06.017","DOI":"10.1016\/j.cell.2023.06.017"},{"key":"e_1_3_3_3_88_2","doi-asserted-by":"crossref","unstructured":"David\u00a0A Waldman and Bruce\u00a0J Avolio. 1991. Race effects in performance evaluations: Controlling for ability education and experience. Journal of applied psychology 76 6 (1991) 897.","DOI":"10.1037\/\/0021-9010.76.6.897"},{"key":"e_1_3_3_3_89_2","unstructured":"Laura Weidinger Maribeth Rauh Nahema Marchal Arianna Manzini Lisa\u00a0Anne Hendricks Juan Mateos-Garcia Stevie Bergman Jackie Kay Conor Griffin Ben Bariach et\u00a0al. 2023. Sociotechnical safety evaluation of generative ai systems. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2310.11986 (2023)."},{"key":"e_1_3_3_3_90_2","doi-asserted-by":"publisher","DOI":"10.1145\/3531146.3533088"},{"key":"e_1_3_3_3_91_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581357"},{"key":"e_1_3_3_3_92_2","doi-asserted-by":"publisher","DOI":"10.1145\/3441000.3441074"},{"key":"e_1_3_3_3_93_2","doi-asserted-by":"publisher","DOI":"10.1145\/3585059.3611449"},{"key":"e_1_3_3_3_94_2","doi-asserted-by":"crossref","unstructured":"Ma Xueliang and Dai Qingxia. 1988. Language and nationality. Chinese Sociology & Anthropology 21 1 (1988) 81\u2013104.","DOI":"10.2753\/CSA0009-4625210181"},{"key":"e_1_3_3_3_95_2","doi-asserted-by":"publisher","DOI":"10.1145\/3490099.3511105"},{"key":"e_1_3_3_3_96_2","doi-asserted-by":"publisher","unstructured":"Eric Zhou and Dokyun Lee. 2024. Generative artificial intelligence human creativity and art. PNAS Nexus 3 3 (03 2024) pgae052. 10.1093\/pnasnexus\/pgae052 arXiv:https:\/\/academic.oup.com\/pnasnexus\/article-pdf\/3\/3\/pgae052\/57464715\/pgae052.pdf","DOI":"10.1093\/pnasnexus\/pgae052"}],"event":{"name":"CHI 2025: CHI Conference on Human Factors in Computing Systems","location":"Yokohama Japan","acronym":"CHI '25","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3706598.3713897","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3706598.3713897","content-type":"text\/html","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3706598.3713897","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3706598.3713897","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T05:02:29Z","timestamp":1751605349000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3706598.3713897"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,25]]},"references-count":95,"alternative-id":["10.1145\/3706598.3713897","10.1145\/3706598"],"URL":"https:\/\/doi.org\/10.1145\/3706598.3713897","relation":{},"subject":[],"published":{"date-parts":[[2025,4,25]]},"assertion":[{"value":"2025-04-25","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}