{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T19:01:29Z","timestamp":1767034889835,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":97,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,3,24]],"date-time":"2025-03-24T00:00:00Z","timestamp":1742774400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,3,24]]},"DOI":"10.1145\/3708359.3712112","type":"proceedings-article","created":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T12:50:34Z","timestamp":1742388634000},"page":"1297-1313","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Slip Through the Chat: Subtle Injection of False Information in LLM Chatbot Conversations Increases False Memory Formation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1879-7340","authenticated-orcid":false,"given":"Pat","family":"Pataranutaporn","sequence":"first","affiliation":[{"name":"MIT Media Lab, Massachusetts Institute of Technology, Boston, Massachusetts, USA,"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-7165-0859","authenticated-orcid":false,"given":"Chayapatr","family":"Archiwaranguprok","sequence":"additional","affiliation":[{"name":"University of the Thai Chamber of Commerce, Bangkok, Thailand,"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1159-0467","authenticated-orcid":false,"given":"Samantha W. T.","family":"Chan","sequence":"additional","affiliation":[{"name":"MIT Media Lab, Cambridge, Massachusetts, USA,"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-8920-3273","authenticated-orcid":false,"given":"Elizabeth","family":"Loftus","sequence":"additional","affiliation":[{"name":"UCI School of Social Ecology, UC Irvine, Irvine, California, USA,"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7722-6038","authenticated-orcid":false,"given":"Pattie","family":"Maes","sequence":"additional","affiliation":[{"name":"Media Lab, MIT, Cambridge, Massachusetts, USA,"}]}],"member":"320","published-online":{"date-parts":[[2025,3,24]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580892"},{"key":"e_1_3_3_2_3_2","first-page":"284","volume-title":"Those Aren\u2019t Your Memories, They\u2019re Somebody Else\u2019s: Seeding Misinformation in\u00a0Chat Bot Memories","author":"Atkins Conor","year":"2023","unstructured":"Conor Atkins, Benjamin Zi\u00a0Hao Zhao, Hassan\u00a0Jameel Asghar, Ian Wood, and Mohamed\u00a0Ali Kaafar. 2023. Those Aren\u2019t Your Memories, They\u2019re Somebody Else\u2019s: Seeding Misinformation in\u00a0Chat Bot Memories. Springer Nature Switzerland, 284\u2013308. https:\/\/doi.org\/10.1007\/978-3-031-33488-711"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642666"},{"key":"e_1_3_3_2_5_2","unstructured":"George Bass. 2023. \u2018I know what it\u2019s like to be tempted\u2019: a security guard on UK shoplifting epidemic \u2014 theguardian.com. https:\/\/www.theguardian.com\/business\/2023\/nov\/24\/security-guard-on-uk-shoplifting-epidemic-black-friday\/. [Accessed 10-10-2024]."},{"key":"e_1_3_3_2_6_2","doi-asserted-by":"crossref","unstructured":"Jane\u00a0M Berry Robin\u00a0L West and Dierdre\u00a0M Dennehey. 1989. Reliability and validity of the Memory Self-Efficacy Questionnaire. Developmental psychology 25 5 (1989) 701.","DOI":"10.1037\/\/0012-1649.25.5.701"},{"key":"e_1_3_3_2_7_2","unstructured":"Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared\u00a0D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et\u00a0al. 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020) 1877\u20131901."},{"key":"e_1_3_3_2_8_2","unstructured":"The Conversation\u00a0US C.\u00a0Michael\u00a0White. 2024. When Choosing What Diseases to Develop Drugs For It All Comes Down to Funding \u2014 scientificamerican.com. https:\/\/www.scientificamerican.com\/article\/when-choosing-what-diseases-to-develop-drugs-for-it-all-comes-down-to-funding\/. [Accessed 10-10-2024]."},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"crossref","unstructured":"Samantha W.\u00a0T. Chan Thisum Buddhika Haimo Zhang and Suranga Nanayakkara. 2019. ProspecFit: In Situ Evaluation of Digital Prospective Memory Training for Older Adults. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies 3 3 (Sept. 2019) 1\u00e2\u20ac\u201c20. https:\/\/doi.org\/10.1145\/3351235","DOI":"10.1145\/3351235"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"crossref","unstructured":"Samantha W.\u00a0T. Chan Shardul Sapkota Rebecca Mathews Haimo Zhang and Suranga Nanayakkara. 2020. Prompto: Investigating Receptivity to Prompts Based on Cognitive Load from Memory Training Conversational Agent. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies 4 4 (Dec. 2020) 1\u00e2\u20ac\u201c23. https:\/\/doi.org\/10.1145\/3432190","DOI":"10.1145\/3432190"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"crossref","unstructured":"Yupeng Chang Xu Wang Jindong Wang Yuan Wu Linyi Yang Kaijie Zhu Hao Chen Xiaoyuan Yi Cunxiang Wang Yidong Wang et\u00a0al. 2024. A survey on evaluation of large language models. ACM Transactions on Intelligent Systems and Technology 15 3 (2024) 1\u201345.","DOI":"10.1145\/3641289"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1145\/1785455.1785479"},{"key":"e_1_3_3_2_13_2","unstructured":"Valdemar Danry Pat Pataranutaporn Ziv Epstein Matthew Groh and Pattie Maes. 2022. Deceptive AI systems that give explanations are just as convincing as honest AI systems in human-machine decision making. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2210.08960 (2022)."},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1145\/3384657.3384799"},{"key":"e_1_3_3_2_15_2","unstructured":"Wes Davis. 2024. All the AI features coming to Google\u2019s Pixel 9 series \u2014 theverge.com. https:\/\/www.theverge.com\/24219355\/google-pixel-9-ai-features-screenshots-add-me-magic-editor. [Accessed 9-10-2024]."},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"crossref","unstructured":"Aniket Deroy Kripabandhu Ghosh and Saptarshi Ghosh. 2024. Ensemble methods for improving extractive summarization of legal case judgements. Artificial Intelligence and Law 32 1 (2024) 231\u2013289.","DOI":"10.1007\/s10506-023-09349-8"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1145\/3450337.3483502"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"crossref","unstructured":"Douglas\u00a0C Engelbart. 2021. Augmenting human intellect: a conceptual framework (1962). (2021).","DOI":"10.21236\/AD0289565"},{"key":"e_1_3_3_2_19_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_2_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376232"},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"crossref","unstructured":"Rodrigo Ferrer-Urbina Yasna Ram\u00edrez Patricio Mena-Chamorro Marcos Carmona-Halty and Geraldy Sep\u00falveda-P\u00e1ez. 2024. Naive skepticism scale: development and validation tests applied to the chilean population. Psicologia: Reflex\u00e3o e Cr\u00edtica 37 (2024) 6.","DOI":"10.1186\/s41155-024-00288-0"},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1145\/765891.765951"},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"crossref","unstructured":"Josh\u00a0A Goldstein Jason Chao Shelby Grossman Alex Stamos and Michael Tomz. 2024. How persuasive is AI-generated propaganda? PNAS nexus 3 2 (2024) pgae034.","DOI":"10.1093\/pnasnexus\/pgae034"},{"key":"e_1_3_3_2_24_2","unstructured":"Josh\u00a0A Goldstein Girish Sastry Micah Musser Renee DiResta Matthew Gentzel and Katerina Sedova. 2023. Generative Language Models and Automated Influence Operations: Emerging Threats and Potential Mitigations. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2301.04246 (2023)."},{"key":"e_1_3_3_2_25_2","doi-asserted-by":"crossref","unstructured":"Brian Gonsalves and Ken\u00a0A Paller. 2000. Neural events that underlie remembering something that never happened. Nature Neuroscience 3 12 (2000) 1316\u20131321.","DOI":"10.1038\/81851"},{"key":"e_1_3_3_2_26_2","doi-asserted-by":"crossref","unstructured":"Matthew Groh Ziv Epstein Chaz Firestone and Rosalind Picard. 2022. Deepfake detection by human crowds machines and machine-informed crowds. Proceedings of the National Academy of Sciences 119 1 (2022) e2110013119.","DOI":"10.1073\/pnas.2110013119"},{"key":"e_1_3_3_2_27_2","unstructured":"Matthew Groh Aruna Sankaranarayanan Nikhil Singh Dong\u00a0Young Kim Andrew Lippman and Rosalind Picard. 2023. Human detection of political speech deepfakes across transcripts audio and video. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2202.12883 (2023)."},{"key":"e_1_3_3_2_28_2","doi-asserted-by":"crossref","unstructured":"Cathal Gurrin Alan\u00a0F. Smeaton and Aiden\u00a0R. Doherty. 2014. LifeLogging: Personal Big Data. Foundations and Trends\u00ae in Information Retrieval 8 1 (2014) 1\u2013125. https:\/\/doi.org\/10.1561\/1500000033","DOI":"10.1561\/1500000033"},{"key":"e_1_3_3_2_29_2","doi-asserted-by":"crossref","unstructured":"Morgan Harvey Marc Langheinrich and Geoff Ward. 2016. Remembering through lifelogging: A survey of human memory augmentation. Pervasive and Mobile Computing 27 (2016) 14\u201326.","DOI":"10.1016\/j.pmcj.2015.12.002"},{"key":"e_1_3_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3517717"},{"key":"e_1_3_3_2_31_2","unstructured":"https:\/\/www.nytimes.com\/by\/brian-x chen. 2024. Can Artificial Intelligence Make the PC Cool Again? \u2014 nytimes.com. https:\/\/www.nytimes.com\/2024\/05\/20\/technology\/microsoft-copilot-ai-pc.html. [Accessed 9-10-2024]."},{"key":"e_1_3_3_2_32_2","unstructured":"https:\/\/www.nytimes.com\/by\/sui-lee wee. 2024. Thailand Has a New Prime Minister but the Same Old Power Brokers \u2014 nytimes.com. https:\/\/www.nytimes.com\/2024\/08\/16\/world\/asia\/paetongtarn-shinawatra-thailand-prime-minister.html. [Accessed 10-10-2024]."},{"key":"e_1_3_3_2_33_2","unstructured":"https:\/\/www.nytimes.com\/by\/tripp mickle. 2024. Apple Jumps Into A.I. Fray With Apple Intelligence \u2014 nytimes.com. https:\/\/www.nytimes.com\/2024\/06\/10\/technology\/apple-intelligence-openai.html. [Accessed 9-10-2024]."},{"key":"e_1_3_3_2_34_2","unstructured":"Lei Huang Weijiang Yu Weitao Ma Weihong Zhong Zhangyin Feng Haotian Wang Qianglong Chen Weihua Peng Xiaocheng Feng Bing Qin et\u00a0al. 2023. A survey on hallucination in large language models: Principles taxonomy challenges and open questions. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2311.05232 (2023)."},{"key":"e_1_3_3_2_35_2","doi-asserted-by":"crossref","unstructured":"Tsung-Ren Huang Yu-Lan Cheng and Suparna Rajaram. 2023. Unavoidable social contagion of false memory from robots to humans. American Psychologist (2023).","DOI":"10.1037\/amp0001230"},{"key":"e_1_3_3_2_36_2","doi-asserted-by":"crossref","unstructured":"Farnaz Jahanbakhsh Amy\u00a0X. Zhang and David\u00a0R. Karger. 2022. Leveraging Structured Trusted-Peer Assessments to Combat Misinformation. Proc. ACM Hum.-Comput. Interact. 6 CSCW2 Article 524 (nov 2022) 40\u00a0pages. https:\/\/doi.org\/10.1145\/3555637","DOI":"10.1145\/3555637"},{"key":"e_1_3_3_2_37_2","doi-asserted-by":"crossref","unstructured":"Deepali Jain Malaya\u00a0Dutta Borah and Anupam Biswas. 2024. A sentence is known by the company it keeps: Improving Legal Document Summarization Using Deep Clustering. Artificial Intelligence and Law 32 1 (2024) 165\u2013200.","DOI":"10.1007\/s10506-023-09345-y"},{"key":"e_1_3_3_2_38_2","doi-asserted-by":"crossref","unstructured":"Maurice Jakesch Advait Bhat Daniel Buschek Lior Zalmanson and Mor Naaman. 2022. Interacting with Opinionated Language Models Changes Users\u2019 Views. Arxiv Open Access (2022).","DOI":"10.1145\/3544548.3581196"},{"key":"e_1_3_3_2_39_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642596"},{"key":"e_1_3_3_2_40_2","doi-asserted-by":"publisher","DOI":"10.1145\/1753326.1753638"},{"key":"e_1_3_3_2_41_2","doi-asserted-by":"publisher","DOI":"10.1145\/3357236.3395441"},{"key":"e_1_3_3_2_42_2","doi-asserted-by":"crossref","unstructured":"Irene\u00a0P. Kan Kendra\u00a0L. Pizzonia Anna\u00a0B. Drummey and Eli J.\u00a0V. Mikkelsen. 2021. Exploring factors that mitigate the continued influence of misinformation. Cognitive Research: Principles and Implications 6 1 (Nov. 2021). https:\/\/doi.org\/10.1186\/s41235-021-00335-9","DOI":"10.1186\/s41235-021-00335-9"},{"key":"e_1_3_3_2_43_2","doi-asserted-by":"crossref","unstructured":"Elise Karinshak Sunny\u00a0Xun Liu Joon\u00a0Sung Park and Jeffrey Hancock. 2023. Working with AI to persuade: Examining a large language model\u2019s ability to generate pro-vaccination messages. Stanford Preprint (2023).","DOI":"10.1145\/3579592"},{"key":"e_1_3_3_2_44_2","doi-asserted-by":"crossref","unstructured":"Katarina Kertysova. 2018. Artificial intelligence and disinformation: How AI changes the way disinformation is produced disseminated and can be countered. Security and Human Rights 29 1-4 (2018) 55\u201381.","DOI":"10.1163\/18750230-02901005"},{"key":"e_1_3_3_2_45_2","doi-asserted-by":"crossref","unstructured":"Celeste Kidd and Abeba Birhane. 2023. How AI can distort human beliefs. Science 380 6651 (2023) 1222\u20131223.","DOI":"10.1126\/science.adi0248"},{"key":"e_1_3_3_2_46_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642693"},{"key":"e_1_3_3_2_47_2","doi-asserted-by":"publisher","DOI":"10.1145\/3375627.3375833"},{"key":"e_1_3_3_2_48_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642448"},{"key":"e_1_3_3_2_49_2","doi-asserted-by":"crossref","unstructured":"Elizabeth\u00a0F Loftus. 1981. Eyewitness testimony: Psychological research and legal thought. Crime and justice 3 (1981) 105\u2013151.","DOI":"10.1086\/449078"},{"key":"e_1_3_3_2_50_2","doi-asserted-by":"crossref","unstructured":"Elizabeth\u00a0F. Loftus. 1992. When A Lie Becomes Memory\u2019s Truth: Memory Distortion After Exposure to Misinformation. Current Directions in Psychological Science 1 4 (Aug. 1992) 121\u2013123. https:\/\/doi.org\/10.1111\/1467-8721.ep10769035","DOI":"10.1111\/1467-8721.ep10769035"},{"key":"e_1_3_3_2_51_2","volume-title":"Eyewitness testimony","author":"Loftus Elizabeth\u00a0F","year":"1996","unstructured":"Elizabeth\u00a0F Loftus. 1996. Eyewitness testimony. Harvard University Press."},{"key":"e_1_3_3_2_52_2","doi-asserted-by":"crossref","unstructured":"Elizabeth\u00a0F Loftus. 1997. Creating false memories. Scientific American 277 3 (1997) 70\u201375.","DOI":"10.1038\/scientificamerican0997-70"},{"key":"e_1_3_3_2_53_2","doi-asserted-by":"crossref","unstructured":"Elizabeth\u00a0F Loftus. 2003. Make-believe memories. American Psychologist 58 11 (2003) 867.","DOI":"10.1037\/0003-066X.58.11.867"},{"key":"e_1_3_3_2_54_2","doi-asserted-by":"crossref","unstructured":"Elizabeth\u00a0F. Loftus. 2005. Planting misinformation in the human mind: A 30-year investigation of the malleability of memory: Figure 1. Learning & Memory 12 4 (July 2005) 361\u2013366. https:\/\/doi.org\/10.1101\/lm.94705","DOI":"10.1101\/lm.94705"},{"key":"e_1_3_3_2_55_2","doi-asserted-by":"crossref","unstructured":"Elizabeth\u00a0F Loftus and John\u00a0C Palmer. 1974. Reconstruction of automobile destruction: An example of the interaction between language and memory. Journal of verbal learning and verbal behavior 13 5 (1974) 585\u2013589.","DOI":"10.1016\/S0022-5371(74)80011-3"},{"key":"e_1_3_3_2_56_2","doi-asserted-by":"crossref","unstructured":"Elizabeth\u00a0F Loftus and Jacqueline\u00a0E Pickrell. 1995. The formation of false memories. 720\u2013725\u00a0pages.","DOI":"10.3928\/0048-5713-19951201-07"},{"key":"e_1_3_3_2_57_2","doi-asserted-by":"crossref","unstructured":"Elizabeth\u00a0F Loftus and Guido Zanni. 1975. Eyewitness testimony: The influence of the wording of a question. Bulletin of the Psychonomic Society 5 1 (1975) 86\u201388.","DOI":"10.3758\/BF03336715"},{"key":"e_1_3_3_2_58_2","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376612"},{"key":"e_1_3_3_2_59_2","doi-asserted-by":"crossref","unstructured":"Zhuoran Lu Patrick Li Weilong Wang and Ming Yin. 2022. The Effects of AI-based Credibility Indicators on the Detection and Spread of Misinformation under Social Influence. Proc. ACM Hum.-Comput. Interact. 6 CSCW2 Article 461 (nov 2022) 27\u00a0pages. https:\/\/doi.org\/10.1145\/3555562","DOI":"10.1145\/3555562"},{"key":"e_1_3_3_2_60_2","doi-asserted-by":"publisher","DOI":"10.1145\/3576050.3576062"},{"key":"e_1_3_3_2_61_2","unstructured":"Chong Ma Zihao Wu Jiaqi Wang Shaochen Xu Yaonai Wei Zhengliang Liu Fang Zeng Xi Jiang Lei Guo Xiaoyan Cai et\u00a0al. 2024. An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT. IEEE Transactions on Artificial Intelligence (2024)."},{"key":"e_1_3_3_2_62_2","doi-asserted-by":"crossref","unstructured":"Lisa\u00a0Mekioussa Malki Dilisha Patel and Aneesha Singh. 2024. \"The Headline Was So Wild That I Had To Check\": An Exploration of Women\u2019s Encounters With Health Misinformation on Social Media. Proc. ACM Hum.-Comput. Interact. 8 CSCW1 Article 128 (apr 2024) 26\u00a0pages. https:\/\/doi.org\/10.1145\/3637405","DOI":"10.1145\/3637405"},{"key":"e_1_3_3_2_63_2","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445071"},{"key":"e_1_3_3_2_64_2","unstructured":"Ivan Mehta. 2024. Arc browser\u2019s new AI-powered \u2019pinch-to-summarize\u2019 feature is clever but often misses the mark | TechCrunch \u2014 techcrunch.com. https:\/\/techcrunch.com\/2024\/02\/23\/arc-browsers-new-ai-powered-pinch-to-summarize-feature-is-clever-but-often-miss-the-mark\/. [Accessed 10-10-2024]."},{"key":"e_1_3_3_2_65_2","doi-asserted-by":"publisher","DOI":"10.1145\/3563359.3597396"},{"key":"e_1_3_3_2_66_2","doi-asserted-by":"crossref","unstructured":"Miriam\u00a0J Metzger. 2007. Making sense of credibility on the Web: Models for evaluating online information and recommendations for future research. Journal of the American society for information science and technology 58 13 (2007) 2078\u20132091.","DOI":"10.1002\/asi.20672"},{"key":"e_1_3_3_2_67_2","doi-asserted-by":"crossref","unstructured":"Miriam\u00a0J Metzger and Andrew\u00a0J Flanagin. 2013. Credibility and trust of information in online environments: The use of cognitive heuristics. Journal of pragmatics 59 (2013) 210\u2013220.","DOI":"10.1016\/j.pragma.2013.07.012"},{"key":"e_1_3_3_2_68_2","doi-asserted-by":"crossref","unstructured":"Gillian Murphy Caroline\u00a0A Dawson Charlotte Huston Lisa Ballantyne Elizabeth Barrett Conor\u00a0S Cowman Christopher Fitzsimons Julie Maher Katie\u00a0M Ryan and Ciara\u00a0M Greene. 2023. Lost in the mall again: a preregistered replication and extension of Loftus & Pickrell (1995). Memory 31 6 (2023) 818\u2013830.","DOI":"10.1080\/09658211.2023.2198327"},{"key":"e_1_3_3_2_69_2","doi-asserted-by":"crossref","unstructured":"Elena Musi Lorenzo Federico and Gianni Riotta. 2022. Human\u2013computer interaction tools with gameful design for critical thinking the media ecosystem: a classification framework. AI & SOCIETY 39 3 (Nov. 2022) 1317\u20131329. https:\/\/doi.org\/10.1007\/s00146-022-01583-z","DOI":"10.1007\/s00146-022-01583-z"},{"key":"e_1_3_3_2_70_2","doi-asserted-by":"crossref","unstructured":"Sophie\u00a0J Nightingale and Hany Farid. 2022. AI-synthesized faces are indistinguishable from real faces and more trustworthy. Proceedings of the National Academy of Sciences 119 8 (2022) e2120481119.","DOI":"10.1073\/pnas.2120481119"},{"key":"e_1_3_3_2_71_2","doi-asserted-by":"publisher","DOI":"10.1145\/3563657.3595999"},{"key":"e_1_3_3_2_72_2","doi-asserted-by":"crossref","unstructured":"Gordon Pennycook Ziv Epstein Mohsen Mosleh Antonio\u00a0A Arechar Dean Eckles and David\u00a0G Rand. 2021. Shifting attention to accuracy can reduce misinformation online. Nature 592 7855 (2021) 590\u2013595.","DOI":"10.1038\/s41586-021-03344-2"},{"key":"e_1_3_3_2_73_2","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300740"},{"key":"e_1_3_3_2_74_2","doi-asserted-by":"crossref","unstructured":"Bradley\u00a0J Rhodes. 1997. The wearable remembrance agent: A system for augmented memory. Personal Technologies 1 (1997) 218\u2013224.","DOI":"10.1007\/BF01682024"},{"key":"e_1_3_3_2_75_2","doi-asserted-by":"publisher","DOI":"10.1145\/2984751.2984776"},{"key":"e_1_3_3_2_76_2","doi-asserted-by":"publisher","DOI":"10.1145\/3461778.3462111"},{"key":"e_1_3_3_2_77_2","doi-asserted-by":"publisher","DOI":"10.1145\/3460881.3460931"},{"key":"e_1_3_3_2_78_2","doi-asserted-by":"crossref","unstructured":"Alan Scoboria Kimberley\u00a0A Wade D\u00a0Stephen Lindsay Tanjeem Azad Deryn Strange James Ost and Ira\u00a0E Hyman. 2017. A mega-analysis of memory reports from eight peer-reviewed false memory implantation studies. Memory 25 2 (2017) 146\u2013163.","DOI":"10.1080\/09658211.2016.1260747"},{"key":"e_1_3_3_2_79_2","doi-asserted-by":"crossref","unstructured":"Hassan Shakil Ahmad Farooq and Jugal Kalita. 2024. Abstractive text summarization: State of the art challenges and improvements. Neurocomputing (2024) 128255.","DOI":"10.1016\/j.neucom.2024.128255"},{"key":"e_1_3_3_2_80_2","doi-asserted-by":"crossref","unstructured":"Nathaniel Sirlin Ziv Epstein Antonio\u00a0A Arechar and David\u00a0G Rand. 2021. Digital literacy is associated with more discerning accuracy judgments but not sharing intentions. Harvard Kennedy School Misinformation Review (2021).","DOI":"10.37016\/mr-2020-83"},{"key":"e_1_3_3_2_81_2","doi-asserted-by":"crossref","unstructured":"Scott\u00a0D Slotnick and Daniel\u00a0L Schacter. 2004. A sensory signature that distinguishes true from false memories. Nature Neuroscience 7 6 (2004) 664\u2013672.","DOI":"10.1038\/nn1252"},{"key":"e_1_3_3_2_82_2","doi-asserted-by":"crossref","unstructured":"Ben\u00a0M Tappin Chloe Wittenberg Luke\u00a0B Hewitt Adam\u00a0J Berinsky and David\u00a0G Rand. 2023. Quantifying the potential persuasive returns to political microtargeting. Proceedings of the National Academy of Sciences 120 25 (2023) e2216261120.","DOI":"10.1073\/pnas.2216261120"},{"key":"e_1_3_3_2_83_2","unstructured":"Adly Templeton Tom Conerly Jonathan Marcus Jack Lindsey Trenton Bricken Brian Chen Adam Pearce Craig Citro Emmanuel Ameisen Andy Jones Hoagy Cunningham Nicholas\u00a0L. Turner Callum McDougall Monte MacDiarmid Alex Tamkin Esin Durmus Tristan Hume Freeman Mosconi Francesco Theodore\u00a0R. Sumers Edward Rees Joshua Batson Adam Jermyn Shan Carter Chris Olah and Tom Henighan. 2024. Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet \u2014 transformer-circuits.pub. https:\/\/transformer-circuits.pub\/2024\/scaling-monosemanticity\/index.html. [Accessed 11-10-2024]."},{"key":"e_1_3_3_2_84_2","doi-asserted-by":"crossref","unstructured":"Emily Thorson. 2015. Belief Echoes: The Persistent Effects of Corrected Misinformation. Political Communication 33 3 (Nov. 2015) 460\u2013480. https:\/\/doi.org\/10.1080\/10584609.2015.1102187","DOI":"10.1080\/10584609.2015.1102187"},{"key":"e_1_3_3_2_85_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491101.3519661"},{"key":"e_1_3_3_2_86_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544549.3585584"},{"key":"e_1_3_3_2_87_2","doi-asserted-by":"crossref","unstructured":"Dave Van\u00a0Veen Cara Van\u00a0Uden Louis Blankemeier Jean-Benoit Delbrouck Asad Aali Christian Bluethgen Anuj Pareek Malgorzata Polacin Eduardo\u00a0Pontes Reis Anna Seehofnerov\u00e1 et\u00a0al. 2024. Adapted large language models can outperform medical experts in clinical text summarization. Nature medicine 30 4 (2024) 1134\u20131142.","DOI":"10.1038\/s41591-024-02855-5"},{"key":"e_1_3_3_2_88_2","unstructured":"Jan\u00a0G Voelkel Robb Willer et\u00a0al. 2023. Artificial Intelligence Can Persuade Humans on Political Issues. OSF Preprints (2023)."},{"key":"e_1_3_3_2_89_2","doi-asserted-by":"crossref","unstructured":"Yuping Wang Chen Ling and Gianluca Stringhini. 2023. Understanding the Use of Images to Spread COVID-19 Misinformation on Twitter. Proc. ACM Hum.-Comput. Interact. 7 CSCW1 Article 108 (apr 2023) 32\u00a0pages. https:\/\/doi.org\/10.1145\/3579542","DOI":"10.1145\/3579542"},{"key":"e_1_3_3_2_90_2","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3612704"},{"key":"e_1_3_3_2_91_2","doi-asserted-by":"crossref","unstructured":"Ling Yang Zhilong Zhang Yang Song Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui and Ming-Hsuan Yang. 2023. Diffusion models: A comprehensive survey of methods and applications. Comput. Surveys 56 4 (2023) 1\u201339.","DOI":"10.1145\/3626235"},{"key":"e_1_3_3_2_92_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3641940"},{"key":"e_1_3_3_2_93_2","doi-asserted-by":"crossref","unstructured":"Elizabeth\u00a0M Zelinski Michael\u00a0J Gilewski and Cheri\u00a0R Anthony-Bergstone. 1990. Memory Functioning Questionnaire: concurrent validity with memory performance and self-reported memory failures. Psychology and aging 5 3 (1990) 388.","DOI":"10.1037\/\/0882-7974.5.3.388"},{"key":"e_1_3_3_2_94_2","doi-asserted-by":"crossref","unstructured":"Tianyi Zhang Faisal Ladhak Esin Durmus Percy Liang Kathleen McKeown and Tatsunori\u00a0B Hashimoto. 2024. Benchmarking large language models for news summarization. Transactions of the Association for Computational Linguistics 12 (2024) 39\u201357.","DOI":"10.1162\/tacl_a_00632"},{"key":"e_1_3_3_2_95_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581318"},{"key":"e_1_3_3_2_96_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581318"},{"key":"e_1_3_3_2_97_2","doi-asserted-by":"crossref","unstructured":"L Zhuang J Wang B Xiong C Bian L Hao PJ Bayley and S Qin. 2022. Rapid neural reorganization during retrieval practice predicts subsequent long-term retention and false memory. Nature Human Behaviour 6 (1) 134-145.","DOI":"10.1038\/s41562-021-01188-4"},{"key":"e_1_3_3_2_98_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642450"}],"event":{"name":"IUI '25: 30th International Conference on Intelligent User Interfaces","sponsor":["SIGAI ACM Special Interest Group on Artificial Intelligence","SIGCHI ACM Special Interest Group on Computer-Human Interaction"],"location":"Cagliari Italy","acronym":"IUI '25"},"container-title":["Proceedings of the 30th International Conference on Intelligent User Interfaces"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3708359.3712112","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3708359.3712112","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:57:06Z","timestamp":1750298226000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3708359.3712112"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,24]]},"references-count":97,"alternative-id":["10.1145\/3708359.3712112","10.1145\/3708359"],"URL":"https:\/\/doi.org\/10.1145\/3708359.3712112","relation":{},"subject":[],"published":{"date-parts":[[2025,3,24]]},"assertion":[{"value":"2025-03-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}