Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Dev, Neerej; Joy, Silpa Title A name given to the resource Human Voices and Algorithmic Echoes: Resignifying Transfeminine Experiences Through Hybrid Poetics Framework Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived International Journal of Human-Computer Interaction; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/10447318.2026.2615218" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/10447318.2026.2615218</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105028892833?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105028892833?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Dev N., Department of Social Science and Humanities, University of Wolverhampton, Wolverhampton, United Kingdom; Joy S., Department of Functional and Applied English, St. Josephs College, Kerala, Devagiri, India, Department of English and Cultural Studies, CHRIST (Deemed to be University), Bangalore, India Description An account of the resource Advances in generative artificial intelligence (AI) are reshaping cultural production, yet questions remain about whether machine-authored texts can authentically represent marginalized lives. This study examines the capacity of OpenAIs GPT-4o to represent the lived experiences of transfeminine individuals using a three-phase Hybrid Poetics Framework (HPF). Ten transfeminine participants were recruited through purposive maximum variation sampling. Semi-structured interviews and a participatory focus group (FGD-1) informed the creation of both human-generated poems (HGPs) and AI-generated poems (GPT-4o poems). In the reception phase, participants completed an authorship discrimination task and poetic quality ratings, followed by a structured poetry-reflection focus group (FGD-2). Results show that participants identified authorship above chance and rated HGPs higher for Emotional Quality, Atmosphere, and Structural Quality, while AI poems were praised for polish but perceived as emotionally distant. By contrast, creativity showed overlap across conditions.Findings foreground authenticity, affective fidelity, and ethical risks in AI-mediated representation. We propose bounded legibility and community co-governance as safeguards and introduce the Hybrid Poetics Framework (HPF) as a methodological approach for operationalizing participatory evaluation in Human Computer Interaction (HCI). 2026 The Author(s). Published with license by Taylor &amp; Francis Group, LLC. Subject The topic of the resource AI poetry; human-generated poems; humancomputer interaction; hybrid poetics framework; transfeminine Publisher An entity responsible for making the resource available Taylor and Francis Ltd. Relation A related resource ISSN: 10447318; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online