{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T06:16:47Z","timestamp":1782281807873,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","funder":[{"name":"AI, Media & Democracy Lab","award":["NWA.1332.20.009"],"award-info":[{"award-number":["NWA.1332.20.009"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1145\/3771882.3771899","type":"proceedings-article","created":{"date-parts":[[2025,11,29]],"date-time":"2025-11-29T11:54:07Z","timestamp":1764417247000},"page":"202-208","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Understanding AI Disclosure Needs for News Production and Journalism"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-4245-8802","authenticated-orcid":false,"given":"Karthikeya Puttur","family":"Venkatraj","sequence":"first","affiliation":[{"name":"Centrum Wiskunde & Informatica, Amsterdam, Netherlands and TU Delft, Delft, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4651-3819","authenticated-orcid":false,"given":"Sophie","family":"Morosoli","sequence":"additional","affiliation":[{"name":"University of Amsterdam, Amsterdam, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4626-1527","authenticated-orcid":false,"given":"Hannes","family":"Cools","sequence":"additional","affiliation":[{"name":"University of Amsterdam, Amsterdam, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5777-1450","authenticated-orcid":false,"given":"Laurens","family":"Naudts","sequence":"additional","affiliation":[{"name":"University of Amsterdam, Amsterdam, Netherlands and KU Leuven, Leuven, Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4962-1698","authenticated-orcid":false,"family":"Claes de Vreese","sequence":"additional","affiliation":[{"name":"University of Amsterdam, Amsterdam, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1652-0580","authenticated-orcid":false,"given":"Natali","family":"Helberger","sequence":"additional","affiliation":[{"name":"University of Amsterdam, Amsterdam, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1752-6837","authenticated-orcid":false,"given":"Pablo","family":"Cesar","sequence":"additional","affiliation":[{"name":"Centrum Wiskunde & Informatica, Amsterdam, Netherlands and TU Delft, Delft, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9954-4088","authenticated-orcid":false,"given":"Abdallah","family":"El Ali","sequence":"additional","affiliation":[{"name":"Centrum Wiskunde & Informatica, Amsterdam, Netherlands and Utrecht University, Utrecht, Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,11,30]]},"reference":[{"key":"e_1_3_3_3_2_2","unstructured":"World Economic\u00a0Forum 2024. 2024. The Global Risks Report 2024. https:\/\/www.weforum.org\/publications\/global-risks-report-2024. [2024-1-19]."},{"key":"e_1_3_3_3_3_2","doi-asserted-by":"publisher","unstructured":"Sacha Altay and Fabrizio Gilardi. 2024. People are skeptical of headlines labeled as AI-generated even if true or human-made because they assume full AI automation. PNAS Nexus 3 10 (10 2024) pgae403. arXiv:https:\/\/academic.oup.com\/pnasnexus\/article-pdf\/3\/10\/pgae403\/59961427\/pgae403.pdf10.1093\/pnasnexus\/pgae403","DOI":"10.1093\/pnasnexus\/pgae403"},{"key":"e_1_3_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.4135\/9781412963909.n299"},{"key":"e_1_3_3_3_5_2","unstructured":"Monika Bickert. 2024. https:\/\/about.fb.com\/news\/2024\/04\/metas-approach-to-labeling-ai-generated-content-and-manipulated-media\/"},{"key":"e_1_3_3_3_6_2","doi-asserted-by":"publisher","unstructured":"Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative Research in Psychology 3 2 (2006) 77\u2013101. arXiv:https:\/\/www.tandfonline.com\/doi\/pdf\/10.1191\/1478088706qp063oa10.1191\/1478088706qp063oa","DOI":"10.1191\/1478088706qp063oa"},{"key":"e_1_3_3_3_7_2","doi-asserted-by":"publisher","unstructured":"Olivia Burrus Amanda Curtis and Laura Herman. 2024. Unmasking AI: Informing Authenticity Decisions by Labeling AI-Generated Content. Interactions 31 4 (June 2024) 38\u201342. 10.1145\/3665321","DOI":"10.1145\/3665321"},{"key":"e_1_3_3_3_8_2","unstructured":"C2PA. 2020. Coalition for Content Provenance and Authenticity. https:\/\/c2pa.org\/"},{"key":"e_1_3_3_3_9_2","doi-asserted-by":"publisher","unstructured":"John\u00a0L. Campbell Charles Quincy Jordan Osserman and Ove\u00a0K. Pedersen. 2013. Coding In-depth Semistructured Interviews: Problems of Unitization and Intercoder Reliability and Agreement. Sociological Methods & Research 42 3 (2013) 294\u2013320. 10.1177\/0049124113500475","DOI":"10.1177\/0049124113500475"},{"key":"e_1_3_3_3_10_2","volume-title":"AlgoSoc AI Opinion Monitor","author":"Consortium AlgoSoc","year":"2025","unstructured":"AlgoSoc Consortium. 2025. AlgoSoc AI Opinion Monitor. AlgoSoc Consortium. https:\/\/monitor.algosoc.org\/en\/"},{"key":"e_1_3_3_3_11_2","doi-asserted-by":"publisher","unstructured":"Hannes Cools and Nicholas Diakopoulos. 2024. Uses of Generative AI in the Newsroom: Mapping Journalists\u2019 Perceptions of Perils and Possibilities. Journalism Practice 0 0 (2024) 1\u201319. arXiv:10.1080\/17512786.2024.239455810.1080\/17512786.2024.2394558","DOI":"10.1080\/17512786.2024.2394558"},{"key":"e_1_3_3_3_12_2","unstructured":"Google DeepMind. 2024. Watermarking AI-generated text and video with SynthID. https:\/\/deepmind.google\/discover\/blog\/watermarking-ai-generated-text-and-video-with-synthid\/"},{"key":"e_1_3_3_3_13_2","unstructured":"Nicholas Diakopoulos Hannes Cools N Helberger C Li Ernest Kung Aimee Rinehart et\u00a0al. 2024. Generative AI in Journalism: The Evolution of Newswork and Ethics in a Generative Information Ecosystem."},{"key":"e_1_3_3_3_14_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613905.3650750"},{"key":"e_1_3_3_3_15_2","doi-asserted-by":"publisher","unstructured":"Ziv Epstein Mengying\u00a0Cathy Fang Antonio\u00a0Alonso Arechar and David\u00a0Gertler Rand. 2023. What label should be applied to content produced by generative AI?10.31234\/osf.io\/v4mfz","DOI":"10.31234\/osf.io\/v4mfz"},{"key":"e_1_3_3_3_16_2","unstructured":"Richard Fletcher and R Nielsen. 2024. What does the public in six countries think of generative AI in news?"},{"key":"e_1_3_3_3_17_2","doi-asserted-by":"crossref","unstructured":"Thomas Gils Frederic Heymans Wannes Ooms and Jan De\u00a0Bruyne. 2024. From Policy to Practice: Prototyping The EU AI Act\u2019s Transparency Requirements.","DOI":"10.2139\/ssrn.4714345"},{"key":"e_1_3_3_3_18_2","unstructured":"Google. 2024. Google. https:\/\/support.google.com\/youtube\/answer\/14328491?hl=en%5C&co=GENIE.Platform%5C%3DAndroid"},{"key":"e_1_3_3_3_19_2","doi-asserted-by":"publisher","unstructured":"Klaus\u00a0G Grunert Sophie Hieke and Josephine Wills. 2014. Sustainability labels on food products: Consumer motivation understanding and use. Food policy 44 (2014) 177\u2013189. 10.1016\/j.foodpol.2013.12.001","DOI":"10.1016\/j.foodpol.2013.12.001"},{"key":"e_1_3_3_3_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3501985"},{"key":"e_1_3_3_3_21_2","doi-asserted-by":"publisher","unstructured":"Emma Hoes Brian Aitken Jingwen Zhang Tomasz Gackowski and Magdalena Wojcieszak. 2023. Prominent Misinformation Interventions Reduce Misperceptions but Increase Skepticism. 10.31234\/osf.io\/zmpdu","DOI":"10.31234\/osf.io\/zmpdu"},{"key":"e_1_3_3_3_22_2","first-page":"50","volume-title":"ECIS","author":"Hofeditz Lennart","year":"2021","unstructured":"Lennart Hofeditz, Milad Mirbabaie, Jasmin Holstein, and Stefan Stieglitz. 2021. Do You Trust an AI-journalist? A Credibility Analysis of News Content with AI-Authorship.. In ECIS. Association for Information Systems, Marrakech, Morocco, 50. https:\/\/aisel.aisnet.org\/ecis2021_rp\/50"},{"key":"e_1_3_3_3_23_2","unstructured":"Angel Hsing-Chi Hwang Q.\u00a0Vera Liao Su\u00a0Lin Blodgett Alexandra Olteanu and Adam Trischler. 2024. \"It was 80% me 20% AI\": Seeking Authenticity in Co-Writing with Large Language Models. arxiv:https:\/\/arXiv.org\/abs\/2411.13032\u00a0[cs.HC] https:\/\/arxiv.org\/abs\/2411.13032"},{"key":"e_1_3_3_3_24_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544549.3585657"},{"key":"e_1_3_3_3_25_2","unstructured":"Kate Kaplan. 2024. The proliferation and problem of the sparkles Icon. https:\/\/www.nngroup.com\/articles\/ai-sparkles-icon-problem\/"},{"key":"e_1_3_3_3_26_2","doi-asserted-by":"crossref","unstructured":"Nam\u00a0Wook Kim Shakila\u00a0Cherise Joyner Amalia Riegelhuth and Yeeun Kim. 2021. Accessible visualization: Design space opportunities and challenges. Computer graphics forum 40 3 (2021) 173\u2013188.","DOI":"10.1111\/cgf.14298"},{"key":"e_1_3_3_3_27_2","doi-asserted-by":"publisher","unstructured":"Johann Laux Sandra Wachter and Brent Mittelstadt. 2024. Trustworthy artificial intelligence and the European Union AI act: On the conflation of trustworthiness and acceptability of risk. Regulation & Governance 18 1 (2024) 3\u201332. arXiv:https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/rego.1251210.1111\/rego.12512","DOI":"10.1111\/rego.12512"},{"key":"e_1_3_3_3_28_2","unstructured":"Adam Lee. 2021. The confusing world of cookie consent. https:\/\/www.and.digital\/spotlight\/blog\/the-confusing-world-of-cookie-consent"},{"key":"e_1_3_3_3_29_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642114"},{"key":"e_1_3_3_3_30_2","unstructured":"Linyang Li Pengyu Wang Ke Ren Tianxiang Sun and Xipeng Qiu. 2023. Origin tracing and detecting of llms."},{"key":"e_1_3_3_3_31_2","doi-asserted-by":"crossref","unstructured":"Zihao Li. 2023. Why the European AI Act transparency obligation is insufficient. Nature Machine Intelligence 5 6 (2023) 559\u2013560.","DOI":"10.1038\/s42256-023-00672-y"},{"key":"e_1_3_3_3_32_2","doi-asserted-by":"publisher","unstructured":"Sophie Morosoli Valeria Resendez Laurens Naudts Natali Helberger and Claes de Vreese. 2025. \u201cI Resist\u201d. A Study of Individual Attitudes Towards Generative AI in Journalism and Acts of Resistance Risk Perceptions Trust and Credibility. Digital Journalism 0 0 (2025) 1\u201320. arXiv:10.1080\/21670811.2024.243557910.1080\/21670811.2024.2435579","DOI":"10.1080\/21670811.2024.2435579"},{"key":"e_1_3_3_3_33_2","doi-asserted-by":"crossref","unstructured":"Amaya Noain-S\u00e1nchez. 2022. Addressing the Impact of Artificial Intelligence on Journalism: The perception of experts journalists and academics. Communication and Society 35 (3) 105\u2013121.","DOI":"10.15581\/003.35.3.105-121"},{"key":"e_1_3_3_3_34_2","doi-asserted-by":"publisher","unstructured":"Andreas\u00a0L Opdahl Bj\u00f8rnar Tessem Duc-Tien Dang-Nguyen Enrico Motta Vinay Setty Eivind Throndsen Are Tverberg and Christoph Trattner. 2023. Trustworthy journalism through AI. Data & Knowledge Engineering 146 (2023) 102182. 10.1016\/j.datak.2023.102182","DOI":"10.1016\/j.datak.2023.102182"},{"key":"e_1_3_3_3_35_2","doi-asserted-by":"publisher","unstructured":"Lori Peek and Alice Fothergill. 2009. Using focus groups: lessons from studying daycare centers 9\/11 and Hurricane Katrina. Qualitative Research 9 1 (2009) 31\u201359. arXiv:10.1177\/146879410809802910.1177\/1468794108098029","DOI":"10.1177\/1468794108098029"},{"key":"e_1_3_3_3_36_2","doi-asserted-by":"publisher","unstructured":"Gordon Pennycook Adam Bear Evan\u00a0T. Collins and David\u00a0G. Rand. 2020. The Implied Truth Effect: Attaching Warnings to a Subset of Fake News Headlines Increases Perceived Accuracy of Headlines Without Warnings. Management Science 66 11 (2020) 4944\u20134957. arXiv:10.1287\/mnsc.2019.347810.1287\/mnsc.2019.3478","DOI":"10.1287\/mnsc.2019.3478"},{"key":"e_1_3_3_3_37_2","doi-asserted-by":"crossref","unstructured":"Stanislaw Piasecki Sophie Morosoli Natali Helberger and Laurens Naudts. 2024. AI-generated journalism: Do the transparency provisions in the AI Act give news readers what they hope for?Internet Policy Review 13 4 (2024) 1\u201328.","DOI":"10.14763\/2024.4.1810"},{"key":"e_1_3_3_3_38_2","doi-asserted-by":"publisher","DOI":"10.1145\/3593013.3593994"},{"key":"e_1_3_3_3_39_2","unstructured":"Imani\u00a0N. Sherman Elissa\u00a0M. Redmiles and Jack\u00a0W. Stokes. 2020. Designing Indicators to Combat Fake Media. arxiv:https:\/\/arXiv.org\/abs\/2010.00544\u00a0[cs.HC] https:\/\/arxiv.org\/abs\/2010.00544"},{"key":"e_1_3_3_3_40_2","doi-asserted-by":"publisher","unstructured":"Benjamin Toff and Felix\u00a0M. Simon. 0. \u201cOr They Could Just Not Use It?\u201d: The Dilemma of AI Disclosure for Audience Trust in News. The International Journal of Press\/Politics 0 0 (0) 19401612241308697. arXiv:10.1177\/1940161224130869710.1177\/19401612241308697","DOI":"10.1177\/19401612241308697"},{"key":"e_1_3_3_3_41_2","doi-asserted-by":"publisher","unstructured":"Michelle Vaccaro Abdullah Almaatouq and Thomas Malone. 2024. When combinations of humans and AI are useful: A systematic review and meta-analysis. Nature Human Behaviour 8 (10 2024) 2293\u20132303. 10.1038\/s41562-024-02024-1","DOI":"10.1038\/s41562-024-02024-1"},{"key":"e_1_3_3_3_42_2","doi-asserted-by":"crossref","unstructured":"Debora Weber-Wulff Alla Anohina-Naumeca Sonja Bjelobaba Tom\u00e1\u0161 Folt\u1ef3nek Jean Guerrero-Dib Olumide Popoola Petr \u0160igut and Lorna Waddington. 2023. Testing of detection tools for AI-generated text. International Journal for Educational Integrity 19 1 (2023) 26.","DOI":"10.1007\/s40979-023-00146-z"},{"key":"e_1_3_3_3_43_2","doi-asserted-by":"crossref","unstructured":"Chloe Wittenberg Ziv Epstein Adam\u00a0J. Berinsky and David\u00a0G. Rand. 2024. Labeling AI-Generated Content: Promises Perils and Future Directions. An MIT Exploration of Generative AI - - (mar 27 2024). https:\/\/mit-genai.pubpub.org\/pub\/hu71se89.","DOI":"10.21428\/e4baedd9.0319e3a6"},{"key":"e_1_3_3_3_44_2","doi-asserted-by":"crossref","unstructured":"Wen Wu Airong Zhang Rieks\u00a0Dekker van Klinken Peggy Schrobback and Jane\u00a0Marie Muller. 2021. Consumer trust in food and the food system: a critical review. Foods 10 10 (2021) 2490. https:\/\/pmc.ncbi.nlm.nih.gov\/articles\/PMC8536093\/","DOI":"10.3390\/foods10102490"},{"key":"e_1_3_3_3_45_2","unstructured":"Zhiping Zhang Chenxinran Shen Bingsheng Yao Dakuo Wang and Tianshi Li. 2024. Secret Use of Large Language Model (LLM). arxiv:https:\/\/arXiv.org\/abs\/2409.19450\u00a0[cs.HC] https:\/\/arxiv.org\/abs\/2409.19450"},{"key":"e_1_3_3_3_46_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491101.3516506"}],"event":{"name":"MUM '25: 24th International Conference on Mobile and Ubiquitous Multimedia","location":"Enna Italy","acronym":"MUM '25"},"container-title":["Proceedings of the 24th International Conference on Mobile and Ubiquitous Multimedia"],"original-title":[],"deposited":{"date-parts":[[2025,11,29]],"date-time":"2025-11-29T12:10:18Z","timestamp":1764418218000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3771882.3771899"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,30]]},"references-count":45,"alternative-id":["10.1145\/3771882.3771899","10.1145\/3771882"],"URL":"https:\/\/doi.org\/10.1145\/3771882.3771899","relation":{},"subject":[],"published":{"date-parts":[[2025,11,30]]},"assertion":[{"value":"2025-11-30","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}