{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T09:05:25Z","timestamp":1769504725508,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100000275","name":"Leverhulme Trust","doi-asserted-by":"publisher","award":["RPG-2023-091"],"award-info":[{"award-number":["RPG-2023-091"]}],"id":[{"id":"10.13039\/501100000275","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,13]]},"DOI":"10.1145\/3716553.3750785","type":"proceedings-article","created":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:13:16Z","timestamp":1760188396000},"page":"466-474","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Analyzing Character Representation in Media Content using Multimodal Foundation Model: Effectiveness and Trust"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7011-3367","authenticated-orcid":false,"given":"Evdoxia","family":"Taka","sequence":"first","affiliation":[{"name":"School of Computing Science, University of Glasgow, Glasgow, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5034-2064","authenticated-orcid":false,"given":"Debadyuti","family":"Bhattacharya","sequence":"additional","affiliation":[{"name":"University of Glasgow, Glasgow, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2462-3790","authenticated-orcid":false,"given":"Joanne","family":"Garde-Hansen","sequence":"additional","affiliation":[{"name":"University of Leeds, Leeds, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2898-9925","authenticated-orcid":false,"given":"Sanjay","family":"Sharma","sequence":"additional","affiliation":[{"name":"University of Warwick, Coventry, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2167-4891","authenticated-orcid":false,"given":"Tanaya","family":"Guha","sequence":"additional","affiliation":[{"name":"School of Computing Science, University of Glasgow, Glasgow, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,10,12]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"crossref","unstructured":"David Bamman Rachael Samberg Richard\u00a0Jean So and Naitian Zhou. 2024. Measuring diversity in Hollywood through the large-scale computational analysis of film. Proceedings of the National Academy of Sciences 121 46 (2024) e2409770121.","DOI":"10.1073\/pnas.2409770121"},{"key":"e_1_3_3_1_3_2","unstructured":"Centre for Ageing Better. 2023. Cast aside: Exploring the presence of older characters in British films. https:\/\/ageing-better.org.uk\/sites\/default\/files\/2023-02\/cast-aside-insight-report.pdf"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706599.3720055"},{"key":"e_1_3_3_1_5_2","unstructured":"Communication and Marketing Staff. 2019. Improvement toward inclusion in film but more work to be done. https:\/\/annenberg.usc.edu\/news\/research-and-impact\/improvement-toward-inclusion-film-more-work-be-done Accessed: 16 October 2024."},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1145\/3607865.3613178"},{"key":"e_1_3_3_1_7_2","unstructured":"GDI. 2021. Gender Bias and Inclusion in Advertising in India. https:\/\/geenadavisinstitute.org\/research\/gender-bias-and-inclusion-in-advertising-in-india\/ p.7 17."},{"key":"e_1_3_3_1_8_2","unstructured":"GDI. 2021. Women Over 50: The Right To Be Seen on Screen. https:\/\/geenadavisinstitute.org\/research\/women-over-50-the-right-to-be-seen-on-screen\/"},{"key":"e_1_3_3_1_9_2","unstructured":"GDI UNICEF China and UN\u00a0Women China. 2024. Content Analysis of Gender Representation in Advertising in China: A Report Commissioned by UNICEF China and UN Women China. https:\/\/geenadavisinstitute.org\/research\/content-analysis-of-gender-representation-in-advertising-in-china\/ p.10."},{"key":"e_1_3_3_1_10_2","unstructured":"GDI and Lyda Hill Foundation. 2018. Portray her:Representations of Women STEM Characters in Media. https:\/\/geenadavisinstitute.org\/research\/portray-her\/ Accessed: 10 April 2025."},{"key":"e_1_3_3_1_11_2","unstructured":"Google. 2014. The women missing from the silver screen and the technology used to find them. https:\/\/about.google\/main\/gender-equality-films\/ Accessed: 15 January 2025."},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1145\/2818346.2820778"},{"key":"e_1_3_3_1_13_2","first-page":"282","volume-title":"Interspeech","author":"Hebbar Rajat","year":"2018","unstructured":"Rajat Hebbar, Krishna Somandepalli, and Shrikanth\u00a0S Narayanan. 2018. Improving Gender Identification in Movie Audio Using Cross-Domain Data.. In Interspeech. 282\u2013286."},{"key":"e_1_3_3_1_14_2","unstructured":"Kimmo K\u00e4rkk\u00e4inen and Jungseock Joo. 2019. FairFace: Face Attribute Dataset for Balanced Race Gender and Age. CoRR abs\/1908.04913 (2019). arXiv:https:\/\/arXiv.org\/abs\/1908.04913http:\/\/arxiv.org\/abs\/1908.04913"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858402"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451343"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"crossref","unstructured":"Maksim Kuprashevich Grigorii Alekseenko and Irina Tolstykh. 2024. Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation. arxiv:https:\/\/arXiv.org\/abs\/2403.02302\u00a0[cs.CV] https:\/\/arxiv.org\/abs\/2403.02302","DOI":"10.2139\/ssrn.5109814"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"crossref","unstructured":"Antoine Mazi\u00e8res Telmo Menezes and Camille Roth. 2021. Computational appraisal of gender representativeness in popular movies. Humanities and Social Sciences Communications 137 8 (2021).","DOI":"10.1057\/s41599-021-00815-9"},{"key":"e_1_3_3_1_19_2","unstructured":"Andrea Papenmeier Gwenn Englebienne and Christin Seifert. 2019. How model accuracy and explanation fidelity influence user trust. CoRR abs\/1907.12652 (2019). arXiv:https:\/\/arXiv.org\/abs\/1907.12652http:\/\/arxiv.org\/abs\/1907.12652"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"publisher","unstructured":"Andrea Papenmeier Dagmar Kern Gwenn Englebienne and Christin Seifert. 2022. It\u2019s Complicated: The Relationship between User Trust Model Accuracy and Explanations in AI. ACM Trans. Comput.-Hum. Interact. 29 4 Article 35 (March 2022) 33\u00a0pages. 10.1145\/3495013","DOI":"10.1145\/3495013"},{"key":"e_1_3_3_1_21_2","unstructured":"Alec Radford Jong\u00a0Wook Kim Chris Hallacy Aditya Ramesh Gabriel Goh Sandhini Agarwal Girish Sastry Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger and Ilya Sutskever. 2021. Learning Transferable Visual Models From Natural Language Supervision. CoRR abs\/2103.00020 (2021). arXiv:https:\/\/arXiv.org\/abs\/2103.00020https:\/\/arxiv.org\/abs\/2103.00020"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1153"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"crossref","unstructured":"Rasmus Rothe Radu Timofte and Luc\u00a0Van Gool. 2018. Deep expectation of real and apparent age from a single image without facial landmarks. International Journal of Computer Vision 126 2-4 (2018) 144\u2013157.","DOI":"10.1007\/s11263-016-0940-3"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"publisher","DOI":"10.1109\/ASYU50717.2020.9259802"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803248"},{"key":"e_1_3_3_1_26_2","unstructured":"Stacy\u00a0L. Smith Marc Choueiti Katherine Pieper Kevin Yao Ariana Case and Angel Choi. 2019. Inequality in 1 200 Popular Films: Examining Portrayals of Gender Race\/Ethnicity LGBTQ & Disability from 2007 to 2018. https:\/\/assets.uscannenberg.org\/docs\/aii-inequality-report-2019-09-03.pdf Accessed: 10 April 2025."},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"publisher","unstructured":"Krishna Somandepalli Tanaya Guha Victor\u00a0R. Martinez Naveen Kumar Hartwig Adam and Shrikanth Narayanan. 2021. Computational Media Intelligence: Human-Centered Machine Analysis of Media. Proc. IEEE 109 5 (2021) 891\u2013910. 10.1109\/JPROC.2020.3047978","DOI":"10.1109\/JPROC.2020.3047978"},{"key":"e_1_3_3_1_28_2","unstructured":"Hannah\u00a0J. Swift and Ben Steeden. 2020. Exploring representations of old age and ageing. https:\/\/ageing-better.org.uk\/sites\/default\/files\/2020-03\/Exploring-representations-of-old-age.pdf Centre for Ageing Better."},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"publisher","unstructured":"Evdoxia Taka Sebastian Stein and John\u00a0H. Williamson. 2024. Does Interactive Conditioning Help Users Better Understand the Structure of Probabilistic Models? IEEE Transactions on Visualization and Computer Graphics 30 7 (2024) 3256\u20133267. 10.1109\/TVCG.2022.3231967","DOI":"10.1109\/TVCG.2022.3231967"},{"key":"e_1_3_3_1_30_2","unstructured":"Thomas Wolf Lysandre Debut Victor Sanh Julien Chaumond Clement Delangue Anthony Moi Pierric Cistac Tim Rault R\u00e9mi Louf Morgan Funtowicz and Jamie Brew. 2019. HuggingFace\u2019s Transformers: State-of-the-art Natural Language Processing. CoRR abs\/1910.03771 (2019). arXiv:https:\/\/arXiv.org\/abs\/1910.03771http:\/\/arxiv.org\/abs\/1910.03771"},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.30"}],"event":{"name":"ICMI '25: International Conference on Multimodal Interaction","location":"Canberra Australia","acronym":"ICMI '25","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 27th International Conference on Multimodal Interaction"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3716553.3750785","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,26]],"date-time":"2026-01-26T22:25:30Z","timestamp":1769466330000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3716553.3750785"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,12]]},"references-count":30,"alternative-id":["10.1145\/3716553.3750785","10.1145\/3716553"],"URL":"https:\/\/doi.org\/10.1145\/3716553.3750785","relation":{},"subject":[],"published":{"date-parts":[[2025,10,12]]},"assertion":[{"value":"2025-10-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}