Anderson, R. Lanier. 2015. The Poverty of Conceptual Truth: Kant’s Analytic/Synthetic Distinction and the Limits of Metaphysics. Oxford: Oxford University Press. DOI: https://doi.org/10.1093/acprof:oso/9780198724575.001.0001

Aldred, Lisa. 2000. Plastic shamans and astroturf sun dances: new age commercialization of Native American spirituality. American Indian Quarterly 24(3). 329–352. http://www.jstor.org/stable/1185908 (last accessed on 26/02/2026). DOI: https://doi.org/10.1353/aiq.2000.0001

Allaithy, Ahmed & Zaki, Mai. 2025. Evaluation of AI-generated reading comprehension materials for Arabic language teaching. Computer Assisted Language Learning. 1–33. https://doi.org/10.1080/09588221.2025.2474037 DOI: https://doi.org/10.1080/09588221.2025.2474037

Altay, Sacha & Gilardi, Fabrizio. 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). 1–11. https://doi.org/10.1093/pnasnexus/pgae403 DOI: https://doi.org/10.1093/pnasnexus/pgae403

Bailey, Erica R. & Matz, Sandra C. & Youyou, Wu & Iyengar, Sheena S. 2020. Authentic self-expression on social media is associated with greater subjective well-being. Nature Communications 11. 1–9. https://doi.org/10.1038/s41467-020-18539-w DOI: https://doi.org/10.1038/s41467-020-18539-w

Bannister, Peter. 2025. ParadAIse L0st? Higher Education Research & Development. Comment. 1–10.

https://doi.org/10.1080/07294360.2025.2586653 DOI: https://doi.org/10.1080/07294360.2025.2586653

Baptista, João Pedro & Rivas-de-Roca, Rubén & Gradim, Anabela & Pérez-Curiel, Concha. 2025. Human-made news vs AI-generated news: a comparison of Portuguese and Spanish journalism students’ evaluation. Humanities and Social Science Communications 12. 1–9. https://doi.org/10.1057/s41599-025-04872-2 DOI: https://doi.org/10.1057/s41599-025-04872-2

Barrington, Sarah & Cooper, Emily & Farid, Hany. 2025. People are poorly equipped to detect AI-powered voice clones. Scientific Reports 15. 1–9. https://doi.org/10.1038/s41598-025-94170-3 DOI: https://doi.org/10.1038/s41598-025-94170-3

Battisti, Davide. 2025. Second-person authenticity and the mediating role of AI: a moral challenge for human-to-human relationships? Philosophy & Technology 38(1). 1–19. https://doi.org/10.1007/s13347-025-00857-w DOI: https://doi.org/10.1007/s13347-025-00857-w

Beerends, Siri & Aydin, Ciano. 2021. Negotiating authenticity in technological environments. Philosophy & Technology 34. 1665–1685. https://doi.org/10.1007/s13347-021-00480-5 DOI: https://doi.org/10.1007/s13347-021-00480-5

Beerends, Siri & Aydin, Ciano. 2025. Negotiating the authenticity of AI: how the discourse on AI rejects human indeterminacy. AI & Society 40. 263–276. https://doi.org/10.1007/s00146-024-01884-5 DOI: https://doi.org/10.1007/s00146-024-01884-5

Beverland, Michael B. & Lindgreen, Adam & Vink, Michiel W. 2008. Projecting authenticity through advertising: consumer judgments of advertisers’ claims. Journal of Advertising 37(1). 5–15. https://doi.org/10.2753/JOA0091-3367370101 DOI: https://doi.org/10.2753/JOA0091-3367370101

Bialystok, Lauren. 2014. Authenticity and the limits of philosophy. Dialogue 53. 271–298. https://doi.org/10.1017/S001221731300111X DOI: https://doi.org/10.1017/S001221731300111X

Borji, Ali. 2023. Qualitative failures of image generation models and their application in detecting deepfakes. Image and Vision Computing 137. 1–21. https://doi.org/10.1016/j.imavis.2023.104771 DOI: https://doi.org/10.1016/j.imavis.2023.104771

Brandtzaeg, Petter Bae & You, Yukun & Wang, Xi & Lao, Yucong. 2023. “Good” and “bad” machine agency in the context of human-AI communication: The case of ChatGPT. In Degen, Helmut & Ntoa, Stavroula & Moallem, Abbas (eds), Proceedings of the HCI International 2023 - Late Breaking Papers (Copenhagen, July 23-28, 2023), 3–23. https://doi.org/10.1007/978-3-031-48057-7_1 DOI: https://doi.org/10.1007/978-3-031-48057-7_1

Brüns, Jasper David & Meißner, Martin. 2024. Do you create your content yourself? Using generative artificial intelligence for social media content creation diminishes perceived brand authenticity. Journal of Retailing and Consumer Services 79. 1–15. https://doi.org/10.1016/j.jretconser.2024.103790 DOI: https://doi.org/10.1016/j.jretconser.2024.103790

Bui, Hien Thu & Filimonau, Viachaslau & Sezerel, Hakan. 2024. AI-thenticity: exploring the effect of perceived authenticity of AI-generated visual content on tourist patronage intentions. Journal of Destination Marketing and Management 34. 1–11. https://doi.org/10.1016/j.jdmm.2024.100956 DOI: https://doi.org/10.1016/j.jdmm.2024.100956

Busselle, Rick W. & Bilandzic, Helena. 2008. Fictionality and perceived realism in experiencing stories: a model of narrative comprehension and engagement. Communication Theory 18(2). 255–280. https://doi.org/10.1111/j.1468-2885.2008.00322.x DOI: https://doi.org/10.1111/j.1468-2885.2008.00322.x

Caldwell, Mackenzie. 2023. What is an ‘author’? Copyright authorship of AI art through a philosophical lens. Houston Law Review 61(2). 411–442. https://houstonlawreview.org/article/92132-what-is-an-author-copyright-authorship-of-ai-art-through-a-philosophical-lens

Calefato, Fabio & Lanubile, Filippo. 2010. Chapter 6 - Communication media selection for remote interaction of Ad Hoc groups. In Zelkowitz, Marvin V. (ed.), Advances in Computers 78, 271–313. https://doi.org/10.1016/S0065-2458(10)78006-2 DOI: https://doi.org/10.1016/S0065-2458(10)78006-2

Carroll, Glenn R. & Kovács, Balázs. 2021. Authenticity: meanings, targets, audiences and third parties. Research in Organizational Behavior 41. 1–13. https://doi.org/10.1016/j.riob.2021.100149 DOI: https://doi.org/10.1016/j.riob.2021.100149

Carroll, Glenn R. 2015. Authenticity: attribution, value, and meaning. In Scott, Robert A. & Kosslyn, Stephen M. (eds), Emerging Trends in the Social and Behavioral Sciences, 1–13. Hoboken: Wiley Online Library. https://doi.org/10.1002/9781118900772.etrds0020 DOI: https://doi.org/10.1002/9781118900772.etrds0020

Chan, Cecilia Ka Yuk & Hu, Wenjie. 2023. Students’ voices on generative AI: perceptions, benefits and challenges in higher education. International Journal of Educational Technology in Higher Education 20. 1–18. https://doi.org/10.1186/s41239-023-00411-8 DOI: https://doi.org/10.1186/s41239-023-00411-8

Clerwall, Christer. 2014. Enter the robot journalist: users’ perceptions of automated content. Journalism Practice 8(5). 519–531.

https://doi.org/10.1080/17512786.2014.883116 DOI: https://doi.org/10.1080/17512786.2014.883116

Coupland, Nikolas. 2003. Sociolinguistic authenticities. Journal of Sociolinguistics 7(3). 417–431. https://doi.org/10.1111/1467-9481.00233 DOI: https://doi.org/10.1111/1467-9481.00233

Coupland, Nikolas. 2014. Language, society and authenticity: themes and perspectives. In Lacoste, Véronique & Leimgruber, Jakob & Breyer, Thiemo (eds), Indexing Authenticity: Sociolinguistic Perspectives, 14–39. Berlin: Mouton de Gruyter. DOI: https://doi.org/10.1515/9783110347012.14

Dammann, Olaf & Friederichs, Katja M. & Lebedinski, Sabine & Liesenfeld, Kerstin M. 2021. The essence of authenticity. Frontiers in Psychology 11. 1–6. https://doi.org/10.3389/fpsyg.2020.629654 DOI: https://doi.org/10.3389/fpsyg.2020.629654

Davis, Jenny L. 2019. Authenticity, digital media, and person identity verification. In Stets, Jan E. & Serpe, Richard T. (eds), Identities in Everyday Life, 93–111. New York: Oxford University Press. DOI: https://doi.org/10.1093/oso/9780190873066.003.0006

Davis, Nicholas & Clemens, Michael & Browne, Eric & Rezwana, Jeba. 2025. Unlocking the black box of Artificial Media with quantified and explainable co-creative AI systems. In Zagalo, Nelson & Keller, Damian (eds), Artificial Media. Emerging Trends in Narratives, Education and Creative Practice, 21–48. Cham: Springer. DOI: https://doi.org/10.1007/978-3-031-89037-6_2

Dehnert, Marco & Mongeau, Paul A. 2022. Persuasion in the age of artificial intelligence (AI): theories and complications of AI-based persuasion. Human Communication Research 48(3). 386–403. https://doi.org/10.1093/hcr/hqac006 DOI: https://doi.org/10.1093/hcr/hqac006

Draxler, Fiona & Werner, Anna & Lehman, Florian & Hoppe, Matthias & Schmidt, Albrecht & Buschek, Daniel & Welsch, Robin. 2024. The AI ghostwriter effect: When users do not perceive ownership of AI-generated text but self-declare as author. ACM Transactions on Computer-Human Interaction 31(2). 1–40. https://doi.org/10.1145/3637875 DOI: https://doi.org/10.1145/3637875

Dutton, Denis. 2003. Authenticity in arts. In Levinson, Jerrold (ed.), The Oxford Handbook of Aesthetics, 258–274. New York: Oxford University Press.

Eckert, Penelope. 2003. Elephants in the room. Journal of Sociolinguistics 7(3). 392–397. https://doi.org/10.1111/1467-9481.00231 DOI: https://doi.org/10.1111/1467-9481.00231

Erdocia, Iker & Schneider, Britta & Migge, Bettina. 2025. Language in the age of AI technology: from human to non-human authenticity, from public governance to privatised assemblages. Language in Society 54. 1–21. https://doi.org/10.1017/S004740452500017X DOI: https://doi.org/10.1017/S004740452500017X

Fine Licht, Karl. 2025. Rethinking the ethics of GenAI in higher education: a critique of moral arguments and policy implications. Journal of Applied Philosophy 42(4). 1317–1337. https://doi.org/10.1111/japp.70026 DOI: https://doi.org/10.1111/japp.70026

Fischer, Lucas & Läubli, Samuel. 2020. What’s the difference between professional human and machine translation? A blind multi-language study on domain-specific MT. In Way, Andy & Forcada, Mikel L. & Galuščáková, Petra & Popel, Martin (eds), Proceedings of the 22nd Annual Conference of the European Association for Machine Translation (Lisbon, November 3-5, 2020), 215–224. https://aclanthology.org/2020.eamt-1.23.pdf

Floridi, Luciano. 2024. On the future of content in the age of artificial intelligence: Some implications and directions. Editor letter. Philosophy & technology 37(112). 1–11. https://doi.org/10.1007/s13347-024-00806-z DOI: https://doi.org/10.1007/s13347-024-00806-z

Frederick, Austin & Lin, Xialing & Edwards, Chad & Edwards, Autumn. 2025. AI and human generation of classroom content: adult learners’ perceptions. Communication Education 74(2). 168–181. https://doi.org/10.1080/03634523.2025.2466502 DOI: https://doi.org/10.1080/03634523.2025.2466502

Gherheș, Vasile & Fărcașiu, Marcela Alina & Cernicova-Buca, Mariana & Coman, Claudiu. 2025. AI vs. human-authored headlines: evaluating the effectiveness, trust, and linguistic features of ChatGPT-generated clickbait and informative headlines in digital news. Information 16(2). 1–21. https://doi.org/10.3390/info16020150 DOI: https://doi.org/10.3390/info16020150

Ghiurău, David & Popescu, Daniela Elena. 2024. Distinguishing reality from AI: approaches for detecting synthetic content. Computers 14(1). 1–33. https://doi.org/10.3390/computers14010001 DOI: https://doi.org/10.3390/computers14010001

Giaccardi, Elisa & Redström, Johan & Nicenboim, Iohanna. 2024. The making(s) of more-than-human design: introduction to the special issue on more-than-human design and HCI. Human Computer Interaction 40(1-4). 1–16. https://doi.org/10.1080/07370024.2024.2353357 DOI: https://doi.org/10.1080/07370024.2024.2353357

Giri, Arunangshu & Chakrabarty, Dipanwita & Lim, Weng Mark & Mangla, Sachin Kumar & Hollebeek, Linda D. 2026. Can generative artificial intelligence enhance brand performance in tourism? A mixed-method study integrating service-dominant logic, social exchange theory, and uncanny valley theory. Tourism Management Perspectives 60. 1–18.

https://doi.org/10.1016/j.tmp.2025.101442 DOI: https://doi.org/10.1016/j.tmp.2025.101442

Giridhar, Akash & Ravi, Anirudh & Kumar, Anjar & Charan B. & Vanamala, Honganur Rajanna. 2025. Detecting AI-generated artwork: an ensemble model for enhancing visual authenticity in the Digital Age. In Proceedings 2025 International Conference on Inventive Computation Technologies ICICT (Kirtipur, April 23-25, 2025), 475–481. Piscataway: IEEE. http://doi.org/10.1109/ICICT64420.2025.11004722 DOI: https://doi.org/10.1109/ICICT64420.2025.11004722

Graefe, Andreas & Haim, Mario & Haarmann, Barbara & Brosius, Hans-Bernd. 2018. Readers’ perception of computer-generated news: credibility, expertise, and readability. Journalism 19(5). 595–610. https://doi.org/10.1177/1464884916641269 DOI: https://doi.org/10.1177/1464884916641269

Grayson, Kent & Martinec, Radan. 2004. Consumer perceptions of iconicity and indexicality and their influence on assessments of authentic market offerings. Journal of Consumer Research 31(2). 296–312. https://doi.org/10.1086/422109 DOI: https://doi.org/10.1086/422109

Groth, Oden & Block, Lauren & Newman, George E. 2023. Lost in digitalization: the physical format of creative work affects authenticity perceptions. Psychology of Aesthetics, Creative, and the Arts 19(6). 1578–1592. https://dx.doi.org/10.1037/aca0000628 DOI: https://doi.org/10.1037/aca0000628

Guignon, Charles. 2004. On Being Authentic. Oxon: Routledge. DOI: https://doi.org/10.4324/9780203646793

Guignon, Charles. 2008. Authenticity. Philosophy Compass 3(2). 277–290. https://doi.org/10.1111/j.1747-9991.2008.00131.x DOI: https://doi.org/10.1111/j.1747-9991.2008.00131.x

Guzman, Andrea L. 2018. Human-machine communication. Rethinking communication, technology, and ourselves. New York: Peter Lang.

Guzman, Andrea L. & McEwen, Rhonda & Jones, Steve. 2023. Introduction to the handbook. In Guzman, Andrea L. & McEwen, Rhonda & Jones, Steve (eds), The SAGE Handbook of Human-Machine Communication, xli-xlvi. London: Sage. DOI: https://doi.org/10.4135/9781529782783

Haimson, Oliver L. & Liu, Tianxiao & Zhang, Ben Zefeng & Corvite, Shanley. 2021. The online authenticity paradox: what being “authentic” on social media means, and barriers to achieving it. In Nichols, Jeff (ed.), Proceedings of the ACM on Human-Computer Interaction 5 CSCW2, 1–18. https://doi.org/10.1145/3479567 DOI: https://doi.org/10.1145/3479567

Halperin, Brett A. & Rosner, Daniela K. 2025. “AI is soulless”: Hollywood film workers’ strike and emerging perceptions of generative cinema. ACM Transactions on Computer-Human Interaction 32(2). 1–27. https://doi.org/10.1145/3716135 DOI: https://doi.org/10.1145/3716135

Hameleers, Michael & van der Meer, Tony G & Dobber, Tom. 2024. They would never say anything like this! Reasons to doubt political deepfakes. European Journal of Communication 39(1). 56–70. https://doi.org/10.1177/02673231231184703 DOI: https://doi.org/10.1177/02673231231184703

Hameleers, Michael. 2024. Cheap versus deep manipulation: the effects of cheapfakes versus deepfakes in a political setting. International Journal of Public Opinion Research 36(1). 1–19. https://doi.org/10.1093/ijpor/edae004 DOI: https://doi.org/10.1093/ijpor/edae004

Hohenstein, Jess & Jung, Malte. 2020. AI as a moral crumple zone: the effects of AI-mediated communication on attribution and trust. Computers in Human Behavior 106. 1–13. https://doi.org/10.1016/j.chb.2019.106190 DOI: https://doi.org/10.1016/j.chb.2019.106190

Huang, Dongpeng & Hash, Nicole & Cummings, James J. & Prena, Kelsey. 2025. Academic cheating with generative AI: exploring a moral extension of the theory of planned behaviour. Computers and Education: Artificial Intelligence 8. 1–16. https://doi.org/10.1016/j.caeai.2025.100424 DOI: https://doi.org/10.1016/j.caeai.2025.100424

Huang, Junru & Jung, Younbo. 2022. Perceived authenticity of virtual characters makes the difference. Frontiers in Virtual Reality 3. 1–15. https://doi.org/10.3389/frvir.2022.1033709 DOI: https://doi.org/10.3389/frvir.2022.1033709

Jacobs, Bart. 2024. The authenticity crisis. Computer Law & Security Review: The International Journal of Technology Law and Practice 53. 1–5. https://doi.org/10.1016/j.clsr.2024.105962 DOI: https://doi.org/10.1016/j.clsr.2024.105962

Jia, Huiyan & Appelman, Alyssa & Wu, Mu & Bien-Aimé, Steve. 2024. News bylines and perceived AI authorship: effects on source and message credibility. Computers in Human Behavior: Artificial Humans 2(2). 1–9. https://doi.org/10.1016/j.chbah.2024.100093 DOI: https://doi.org/10.1016/j.chbah.2024.100093

Jones, Cameron R. & Rathi, Ishika & Taylor, Sydney & Bergen, Benjamin K. 2025. People cannot distinguish GPT-4 from a human in a Turing test. In FAccT’25: Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency (Athens, June 23-26, 2025), 1615–1639. https://doi.org/10.1145/3715275.3732108 DOI: https://doi.org/10.1145/3715275.3732108

Ju, Naan & Kim, Terry & Im, Hyunjoo. 2024. Fake human but real influencer: the interplay of authenticity and humanlikeness in virtual influencer communication? Fashion and Textiles 11. 1–27. https://doi.org/10.1186/s40691-024-00380-0 DOI: https://doi.org/10.1186/s40691-024-00380-0

Kalpokas, Ignas. 2021. Problematising reality: the promises and perils of synthetic media. SN Social Sciences 1(1). 1–11. https://doi.org/10.1007/s43545-020-00010-8 DOI: https://doi.org/10.1007/s43545-020-00010-8

Kalpokas, Ignas. 2023. Work of art in the age of its AI reproduction. Philosophy & Social Criticism 51(8). 1268–1286.

https://doi.org/10.1177/01914537231184490 DOI: https://doi.org/10.1177/01914537231184490

Kalpokas, Ignas. 2024. Technological governance and escapism in times of accelerated change. Cham: Palgrave Macmillan. DOI: https://doi.org/10.1007/978-3-031-60890-2

Kalpokas, Ignas & Kalpokienė, Julija & Šalaševičiūtė, Vaiva. 2024. Rage against the machine: automated policing of generative AI. In Kuldova, Teresa Østbø & Gundhus, Helene Oppen Ingebrigtsen & Wathne, Christin T. (eds), Policing and Intelligence in the Global Big Data Era, Volume II. Palgrave’s Critical Policing Studies, 259–286. Cham: Palgrave Macmillan. https://doi.org/10.1007/978-3-031-68298-8_10 DOI: https://doi.org/10.1007/978-3-031-68298-8_10

Kalpokas, Ignas & Šalaševičiūtė, Vaiva & Lipskė, Monika. 2024. Technology as a threat or a solution? The challenges of responding to synthetic Media. Baltic Journal of Law & Politics 16(2). 1–22. https://doi.org/10.2478/bjlp-2023-0010 DOI: https://doi.org/10.2478/bjlp-2023-0010

Kalpokienė, Julija & Kalpokas, Ignas. 2023. Creative encounters of a posthuman kind – anthropocentric law, artificial intelligence, and art. Technology in Society 72. 1– 8. https://doi.org/10.1016/j.techsoc.2023.102197 DOI: https://doi.org/10.1016/j.techsoc.2023.102197

Kasneci, Enkelejda & Sessler, Katharina & Küchemann, Stefan & Bannert, Maria & Dementieva, Daria & Fischer, Frank & Gasser, Urs & Groh, Georg & Poquet, Oleksandra & Sailer, Michael et al. 2023. ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences 103. 1–9. https://doi.org/10.1016/j.lindif.2023.102274 DOI: https://doi.org/10.1016/j.lindif.2023.102274

Kätsyri, Jari & Förger, Klaus & Mäkäräinen, Markus & Takala, Tapio. 2015. A review of empirical evidence on different uncanny valley hypotheses: support for perceptual mismatch as one road to the valley of eeriness. Frontiers in Psychology 6. 1–16. https://doi.org/10.3389/fpsyg.2015.00390 DOI: https://doi.org/10.3389/fpsyg.2015.00390

Keller, Damián & Zagalo, Nelson. 2025. Exploring the frontiers of artificial media. In Zagalo, Nelson & Keller, Damián (eds), Artificial Media. Emerging Trends in Narratives, Education and Creative Practice, 1–20. Cham: Springer. DOI: https://doi.org/10.1007/978-3-031-89037-6_1

Kim, Hyoseok & Koo, Thomas K. B. 2024. The impact of generative AI on syllabus design and learning. Journal of Marketing Education 48(1). 20–41. https://doi.org/10.1177/02734753241299024 DOI: https://doi.org/10.1177/02734753241299024

Kim, Hayeon & Lee, Sang Wo. 2025. Sorry, it’s my fault: politeness, attribution, and anthropomorphism in managing generative AI hallucinations. International Journal of Information Management 86. 1–15. https://doi.org/10.1016/j.ijinfomgt.2025.102996 DOI: https://doi.org/10.1016/j.ijinfomgt.2025.102996

Kirk, Colleen P. & Givi, Julian. 2024. The AI-authorship effect: understanding authenticity, moral disgust, and consumer responses to AI-generated marketing communications. Journal of Business Research 186. 1–14. https://doi.org/10.1016/j.jbusres.2024.114984 DOI: https://doi.org/10.1016/j.jbusres.2024.114984

Knott, Alistair & Pedreschi, Dino & Jitsuzumi, Toshiya & Leavy, Susan & Eyers, David & Chakraborti, Tapabrata & Trotman, Andrew & Sundareswaran, Sundar & Baeza-Yates, Ricardo & Biecek, Przemyslaw et al. 2024. AI content detection in the emerging information ecosystem: new obligations for media and tech companies. Ethics and Information Technology 26. 1–14. https://doi.org/10.1007/s10676-024-09795-1 DOI: https://doi.org/10.1007/s10676-024-09808-z

Köbis, Nils C. & Doležalová, Barbora & Soraperra, Ivan. 2021. Fooled twice: people cannot detect deepfakes but think they can. iScience 24(11). 1–17. https://doi.org/10.1016/j.isci.2021.103364 DOI: https://doi.org/10.1016/j.isci.2021.103364

Kudina, Olya & Verbeek, Peter-Paul. 2019. Ethics from within: Google Glass, the Collingridge Dilemma, and the mediated value of privacy. Science, Technology & Human Values 44(2). 291–314. https://doi.org/10.1177/0162243918793711 DOI: https://doi.org/10.1177/0162243918793711

Lackey, Cait & Papacharissi, Zizi. 2024. Machine ex machina: a framework decentering the human in AI design praxis. Human-Machine Communication 8. 7–25. https://doi.org/10.30658/hmc.8.1 DOI: https://doi.org/10.30658/hmc.8.1

Lavazza, Andrea. 2025. AI, authenticity, and the chatbot between us: commentary on Battisti. Commentary. Philosophy & Technology 38(49). 1–5. https://doi.org/10.1007/s13347-025-00880-x DOI: https://doi.org/10.1007/s13347-025-00880-x

Law, Ryan & Guan, Xibeijia & Soulo, Tim. 2025. “74% of new webpages include AI content (study of 900k pages)”. Ahrefs blog. https://www.ahrefs.com/blog/what-percentage-of-new-content-is-ai-generated/ (last accessed on 26/02/2026).

Lee, Eun-Ju. 2020. Authenticity model of (mass-oriented) computer-mediated communication: Conceptual explorations and testable propositions. Journal of Computer-Mediated Communication 25(1). 60–73. https://doi.org/10.1093/jcmc/zmz025 DOI: https://doi.org/10.1093/jcmc/zmz025

Lee, Eun-Ju. 2024. Minding the source: toward an integrative theory of human-machine communication. Human Communication Research 50. 184–193. https://doi.org/10.1093/hcr/hqad034 DOI: https://doi.org/10.1093/hcr/hqad034

Lee, Eun-Ju. 2025. Authenticity at the heart of communication. Journal of Communication 75(2). 85–89. https://doi.org/10.1093/joc/jqaf005 DOI: https://doi.org/10.1093/joc/jqaf005

Lehman, David W. & O’Connor, Kieran & Carroll, Glenn R. 2019. Acting on authenticity: individual interpretations and behavioral responses. Review of General Psychology 23(1). 19–31. https://doi.org/10.1177/1089268019829470 DOI: https://doi.org/10.1177/1089268019829470

Lehman, David W. & O’Connor, Kieran & Kovács, Balázs & Newman, George E. 2019. Authenticity. Academy of Management Annals 13(1). 1–42. https://doi.org/10.5465/annals.2017.0047 DOI: https://doi.org/10.5465/annals.2017.0047

Lermann Henestrosa, Angelica & Kimmerle, Joachim. 2024. The effects of assumed AI vs. human authorship on the perception of a GPT-Generated text. Journalism and Media 5(3). 1085–1097. https://doi.org/10.3390/journalmedia5030069 DOI: https://doi.org/10.3390/journalmedia5030069

Li, Hang & Zhang, Renwen. 2024. Finding love in algorithms: deciphering the emotional contexts of close encounters with AI chatbots. Journal of Computer-Mediated Communication 29(5). 1–13. https://doi.org/10.1093/jcmc/zmae015 DOI: https://doi.org/10.1093/jcmc/zmae015

Liang, Weixin & Yuksekgonul, Mert & Mao, Yining & Wu, Eric & Zou, James. 2023. GPT detectors are biased against non-native English writers. Patterns 4(7). 100779. 1–4. https://doi.org/10.1016/j.patter.2023.100779 DOI: https://doi.org/10.1016/j.patter.2023.100779

Llurda, Enric & Mocanu, Vasilica. 2024. English in Spain: education, attitudes and native-speakerism. World Englishes 43(2). 315–331. https://doi.org/10.1111/weng.12651 DOI: https://doi.org/10.1111/weng.12651

Marriott, Hanna R. & Pitardi, Valentina. 2023. One of the loneliest number… two can be as bad as one. The influence of AI friendship apps on users, wellbeing and addiction. Psychology and Marketing 41(1). 86–101. https://doi.org/10.1002/mar.21899 DOI: https://doi.org/10.1002/mar.21899

Martínez, Matías. 2020. Authenticity in narratology and in literary studies. In Fludernik, Monica & Ryan, Marie-Laure (eds), Narrative Factuality: A Handbook, 521–532. Berlin, Boston: De Gruyter. https://doi.org/10.1515/9783110486278-036 DOI: https://doi.org/10.1515/9783110486278-036

Masood, Momina & Nawaz, Mariam & Malik, Khalid Mahmood & Javed, Ali & Irtaza, Aun & Malik, Hafiz. 2022. Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward. Applied Intelligence 53. 3974–4026. https://doi.org/10.1007/s10489-022-03766-z DOI: https://doi.org/10.1007/s10489-022-03766-z

MacDorman, Karl F. & Chattopadhyay, Debaleena. 2016. Reducing consistency in human realism increases the uncanny valley effect; increasing category uncertainty does not. Cognition 146. 190–205. https://doi.org/10.1016/j.cognition.2015.09.019 DOI: https://doi.org/10.1016/j.cognition.2015.09.019

McEvoy, James. 2009. Living in an age of authenticity: Charles Taylor on identity today. Australasian Catholic Record 86(2). 161–172.

Mercier, Faye & Abidin, Crystal. 2025. Authenticity as discursive gaze: a critical review of social media research on authenticity. Journal of Communication 75(5). 398–404. https://doi.org/10.1093/joc/jqaf038 DOI: https://doi.org/10.1093/joc/jqaf038

Michael, Kyle & Shuttleworth, James. 2021. The History and Ethics of Authenticity. Meaning, Freedom and Modernity. London: Bloomsbury Academic. DOI: https://doi.org/10.5040/9781350163478

Microsoft. 2026. “Global AI adoption in 2025. A widening digital divide”. Microsoft. https://www.microsoft.com/en-us/research/wp-content/uploads/2026/01/Microsoft-AI-Diffusion-Report-2025-H2.pdf (last accessed on 26/02/2026).

Mieczkowski, Hanna Nicole. 2022. AI-mediated communication: Examining agency, ownership, expertise, and roles of AI systems. Stanford: Stanford University. Ph.D. Dissertation. DOI: https://doi.org/10.31219/osf.io/asnv4

Mishan, Freda. 2017. ‘Authenticity’ in the digital era. In Maley, Alan & Tomlinson, Brian (eds), Authenticity in Material Development for Language Learning, 10–24. Cambridge: Cambridge Scholars Publishing.

Mori, Masahiro & MacDorman, Karl F. & Nageki, Norri. 2012. The uncanny valley [From the field]. IEEE Robotics & Automation Magazine 19(2). 98–100. DOI: https://doi.org/10.1109/MRA.2012.2192811

Moorhouse, Benjamin Luke & Wong, Kevin M. 2025. Generative Artificial Intelligence and Language Teaching. Cambridge: Cambridge University Press. https://doi.org/10.1017/9781009618823 DOI: https://doi.org/10.1017/9781009618823

Nass, Clifford & Moon, Youngme. 2000. Machines and mindlessness: social responses to computers. Journal of Social Issues 56(1). 81–103. https://doi.org/10.1111/0022-4537.00153 DOI: https://doi.org/10.1111/0022-4537.00153

Nass, Clifford & Steuer, Jonathan & Tauber, Ellen R. 1994. Computers as social actors. In Adelson, Beth & Dumais, Susan & Olson, Judith (eds), Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Boston, April 24-28, 1994), 72–78. New York: Association for Computing Machinery. https://doi.org/10.1145/191666.191703 DOI: https://doi.org/10.1145/191666.191703

Newman, George E. & Bloom, Paul. 2012. Art and authenticity: the importance of originals in judgments of value. Journal of Experimental Psychology 141(3). 558–569. https://doi.org/10.1037/a0026035 DOI: https://doi.org/10.1037/a0026035

Newman, George E. & Smith, Rosanna K. 2016. Kinds of authenticity. Philosophy Compass 11(10). 609–618. https://doi.org/10.1111/phc3.12343 DOI: https://doi.org/10.1111/phc3.12343

Newman, George E. 2019. The psychology of authenticity. Review of General Psychology 23(1). 8–18. https://doi.org/10.1037/gpr0000158 DOI: https://doi.org/10.1037/gpr0000158

Nicenboim, Iohanna & Oogjes, Doenja & Biggs, Heidi & Nam, Seowoo. 2023. Decentering through design: bridging posthuman theory with more-than-human design practices. Human Computer Interaction 40(1-4). 195–220. https://doi.org/10.1080/07370024.2023.2283535 DOI: https://doi.org/10.1080/07370024.2023.2283535

O’Rourke, Bernadette & Ramallo, Fernando. 2013. Competing ideologies of linguistic authority amongst new speakers in contemporary Galicia. Language in Society 42(3). 287–305. https://doi.org/10.1017/S0047404513000249 DOI: https://doi.org/10.1017/S0047404513000249

Pedersen, Carsten L. & Ritter, Thomas. 2024. Digital authenticity: towards a research agenda for the AI-driven fifth phase of digitalization in business-to-business marketing. Industrial Marketing Management 123. 162–172. https://doi.org/10.1016/j.indmarman.2024.10.005 DOI: https://doi.org/10.1016/j.indmarman.2024.10.005

Perkins, Mike & Roe, John & Vu, Binh H. & Postma, Dirk & Hickerson, David & McGaughran, James & Khuat, Huyen Q. 2024. Simple techniques to bypass GenAI text detectors: implications for inclusive education. International Journal of Educational Technology in Higher Education 21(1). 1–25. https://doi.org/10.1186/s41239-024-00487-w DOI: https://doi.org/10.1186/s41239-024-00487-w

Peterson, Richard A. 2005. In search of authenticity. Journal of Management Studies 42(5). 1083–1098. https://doi.org/10.1111/j.1467-6486.2005.00533.x DOI: https://doi.org/10.1111/j.1467-6486.2005.00533.x

Pinner, Richard S. 2014. The authenticity continuum: toward a definition incorporating international voices. English Today 30(4). 22–27. https://doi.org/10.1017/S0266078414000364 DOI: https://doi.org/10.1017/S0266078414000364

Pinner, Richard S. 2016. Reconceptualising Authenticity for English as a Global Language. Bristol: Multilingual Matters. DOI: https://doi.org/10.21832/9781783095681

Placani, Adriana. 2024. Anthropomorphism in AI: hype and fallacy. AI and Ethics 4. 691–698. https://doi.org/10.1007/s43681-024-00419-4 DOI: https://doi.org/10.1007/s43681-024-00419-4

Qin, Xin & Zhou, Xiang & Chen, Chen & Wu, Dongyuan & Zhou, Hansen & Dong, Xiaowei & Cao, Limei & Lu, Jackson G. 2025. AI aversion or appreciation? A capability–personalization framework and a meta-analytic review. Psychological Bulletin 151(5). 580–599. https://doi.org/10.1037/bul0000477 DOI: https://doi.org/10.1037/bul0000477

Quinlantang, Rae Francis. 2025. The HAI-IO model: a framework for understanding the human-AI communication process. Human Machine Communication 10. 207–221. https://doi.org/10.30658/hmc.10.9 DOI: https://doi.org/10.30658/hmc.10.9

Rae, Irene. 2024. The effects of perceived AI use on content perceptions. In Floyd Mueller, Florian (ed.), Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (Honolulu, May 11-16, 2024), 1–14. New York: Association for Computing Machinery. https://doi.org/10.1145/3613904.3642076 DOI: https://doi.org/10.1145/3613904.3642076

Ramadan, Zahi & Ramadan, Jad. 2025. AI avatars and co-creation in the metaverse. Consumer Behavior in Tourism and Hospitality 20(1). 131–147. https://doi.org/10.1108/CBTH-07-2024-0246 DOI: https://doi.org/10.1108/CBTH-07-2024-0246

Rammert, Werner. 2008. Where the action is: distributed agency between humans, machines, and programs. TUTS – Working Papers, 4-2008. Berlin. https://www.ssoar.info/ssoar/handle/document/1233 (last accessed on 26/02/2026).

Rapp, Amon & Di Lodovico, Chiara & Torrielli, Federico & Di Caro, Luigi. 2025. How do people experience the images created by generative artificial intelligence? An exploration of people’s perceptions, appraisals, and emotions related to Gen-AI text-to-image model and its creations. International Journal of Human-Computer Studies 193. 1–16.

https://doi.org/10.1016/j.ijhcs.2024.103375 DOI: https://doi.org/10.1016/j.ijhcs.2024.103375

Reeves, Byron & Nass, Clifford. 1996. The Media Equation. How People Treat Computers, Television, and New Media Like Real People and Places. Cambridge: Cambridge University Press.

Revolusi, Prabu & Febriandy, Radians Frisna. 2025. Human AI communication (HA-C): transforming the role of technology in human interaction. Multidisciplinary Science Journal 8(3). 1–14. https://doi.org/10.31893/multiscience.2026201 DOI: https://doi.org/10.31893/multiscience.2026201

Richards, Jack C. & Rodgers, Theodore S. 2001. Approaches and Methods in Language Teaching (2nd ed.). Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511667305 DOI: https://doi.org/10.1017/CBO9780511667305

Roddy, Stephen & Bridges, Brian. 2025. Cybernetic resurgences: machine music beyond AI slop. In Zagalo, Nelson & Keller, Damián (eds), Artificial Media. Emerging Trends in Narratives, Education and Creative Practice, 95–116. Cham: Springer. DOI: https://doi.org/10.1007/978-3-031-89037-6_5

Rodríguez Valdés, María. 2025. The use of artificial media as a tool for the creation of artistic images through collaborative methodologies. In Zagalo, Nelson & Keller, Damián (eds), Artificial Media. Emerging Trends in Narratives, Education and Creative Practice, 159–174. Cham: Springer DOI: https://doi.org/10.1007/978-3-031-89037-6_8

Romo, Vanessa. 2025. “It’s 2025, the year we decided we need a widespread slur for robots”. NPR News, August 6, 2025. https://www.vpm.org/npr-news/npr-news/2025-08-06/its-2025-the-year-we-decided-we-need-a-widespread-slur-for-robots (last accessed on 26/02/2026).

Salma, Zainab & Hijón-Neira, Raquel & Pizarro, Celeste. 2025. Designing co-creative systems: five paradoxes in human-AI collaboration. Information 16(10). 1–19. https://doi.org/10.3390/info16100909 DOI: https://doi.org/10.3390/info16100909

Schilke, Oliver & Reimann, Martin. 2025. The transparency dilemma: how AI disclosure erodes trust. Organizational Behavior and Human Decision Processes 188. 1–16. https://doi.org/10.1016/j.obhdp.2025.104405 DOI: https://doi.org/10.1016/j.obhdp.2025.104405

Short, John & Williams, Ederyn & Christie, Bruce. 1976. The Social Psychology of Telecommunications. London: John Wiley and Sons.

Silver, Ike & Newman, George & Small, Deborah A. 2020. Inauthentic aversion: moral reactance toward tainted actors, actions, and objects. Consumer Psychology review 4(1). 70–82. https://doi.org/10.1002/arcp.1064 DOI: https://doi.org/10.1002/arcp.1064

Simas, Gustavo & Ulbricht, Vania. 2024. Human-AI interaction: an analysis of anthropomorphization and user engagement in conversational agents with a focus on ChatGPT. In Intelligent Human Systems Integration IHSI 2024, 119. 454–464. http://doi.org/10.54941/ahfe1004510 DOI: https://doi.org/10.54941/ahfe1004510

Spennemann, Dirk H. R. 2025. Generative Artificial Intelligence and the future of public knowledge. Knowledge 5(3). 1–19. https://doi.org/10.3390/knowledge5030020 DOI: https://doi.org/10.3390/knowledge5030020

Stone, Brian W. 2024. Generative AI in higher education: uncertain students, ambiguous use cases, and mercenary perspectives. Teaching of Psychology 52(3). 347–356. https://doi.org/10.1177/00986283241305398 DOI: https://doi.org/10.1177/00986283241305398

Sundar, S. Shyam. 2020. Rise of machine agency: a framework for studying the psychology of human-AI interaction (HAII). Journal of Computer-Mediated Communication 25(1). 74–88. https://doi.org/10.1093/jcmc/zmz026 DOI: https://doi.org/10.1093/jcmc/zmz026

Sundar, S. Shyam & Chen, Jin. 2023. From CASA to TIME: machine as a source of media effects. In Guzman, Andrew L. & McEwen, Rhonda & Jones, Steve (eds), The SAGE Handbook of Human-Machine Communication, 63–70. London: Sage. https://doi.org/10.4135/9781529782783.n9 DOI: https://doi.org/10.4135/9781529782783.n9

Taylor, Charles. 1991. The Ethics of Authenticity. Cambridge: Harvard University Press.

Thakur, Kutub & Barker, Helen G. & Pathan, Al-Sakib Khan. 2024. Artificial Intelligence and Large Language Models. Oxon: CRC Press. https://doi.org/10.1201/9781003474173 DOI: https://doi.org/10.1201/9781003474173

Trilling, Lionel. 1972. Sincerity and Authenticity. Cambridge: Harvard University Press. DOI: https://doi.org/10.4159/9780674044463

Tron Gianet, Eric & Di Caro, Luigi & Rapp, Amon. 2024. Redefining the user in human-generative AI collaboration: insights from music composition. In Proceedings of the 8th International Workshop on Cultures of Participation in the Digital Age CoPDA 2024 (Arenzano, June 3, 2024). Aachen: CEUR Workshop Proceedings. https://www.ceur-ws.org/Vol-3701/paper6.pdf (last accessed on 26/02/2026).

Vlachopoulos, Dimitrios & Makri, Agoritsa. 2024. A systematic literature review on authentic assessment in higher education: best practices for the development of 21st century skills, and policy considerations. Studies in Educational Evaluation 83. 1–13. https://doi.org/10.1016/j.stueduc.2024.101425 DOI: https://doi.org/10.1016/j.stueduc.2024.101425

Wang, Ning. 1999. Rethinking authenticity in tourism experience. Annals of Tourism Research 26(2). 349–370. https://doi.org/10.1016/S0160-7383(98)00103-0 DOI: https://doi.org/10.1016/S0160-7383(98)00103-0

Wasdahl, Alex. 2024. Machine credibility: how news readers evaluate AI-generated content. InterActions: UCLA Journal of Education and Information Studies 19(1). 1–28. http://dx.doi.org/10.5070/D41.7196 DOI: https://doi.org/10.5070/D41.7196

Werdiningsih, Indah & Marzuki & Rusdin, Diyenti. 2024. Balancing AI and authenticity: EFL students’ experiences with ChatGPT in academic writing. Cogent Arts & Humanities 11(1). 1–15. http://doi.org/10.1080/23311983.2024.2392388 DOI: https://doi.org/10.1080/23311983.2024.2392388

Whittaker, Lucas & Kietzmann, Tim C. & Kietzmann, Jan & Dabirian, Amir. 2020. ‘All around me are synthetic faces’: the mad world of AI-generated media. IT Professional 22(5). 90–99. https://doi.org/10.1109/MITP.2020.2985492 DOI: https://doi.org/10.1109/MITP.2020.2985492

Williams, Bernard. 2002. Truth and Truthfulness: an Essay in Genealogy. Princeton: Princeton University Press.

Wilt, Joshua A. & Thomas, Sarah & McAdams Dan P. 2019. Authenticity and inauthenticity in narrative identity. Heliyon 5(7). 1–13. https://doi.org/10.1016/j.heliyon.2019.e02178 DOI: https://doi.org/10.1016/j.heliyon.2019.e02178

Woolard, Kathryn A. 2016. Singular and Plural: Ideologies of Linguistic Authority in 21st century Catalonia. Oxford: Oxford University Press. DOI: https://doi.org/10.1093/acprof:oso/9780190258610.003.0002

Wu, Junchao & Yang, Shu & Zhan, Runzhe & Yuan, Yulin & Chao, Lidia & Wong, Derek. 2025. A survey on LLM-generated text detection: necessity, methods, and future directions. Computational Linguistics 51(1). 275–338. https://doi.org/10.1162/coli_a_00549 DOI: https://doi.org/10.1162/coli_a_00549

Wu, Wanyan & Lingel, Jessa. 2025. “I am Neuro, who are you?”: Performances of authenticity in an experimental AI livestream. New Media and Society. 1–21. https://doi.org/10.1177/14614448251406904 DOI: https://doi.org/10.1177/14614448251406904

Yang, Daijin & Zhou, Yanpeng & Zhang, Zhiyuan & Li, Toby Jia-Jun & LC, Ray. 2022. AI as an active writer: interaction strategies with generated text in human-AI collaborative fiction writing. In Smith-Renner, Alison & Amir, Ofra (eds), Joint Proceedings of the IUI 2022 Workshops: APEx-UI, HAI-GEN, HEALTHI, HUMANIZE, TExSS, SOCIALIZE co-located with the ACM International Conference on Intelligent User Interfaces (Helsinki, March 21-22), 56–65. Helsinki: CEUR Workshop Proceedings. https://ceur-ws.org/Vol-3124/#paper6 (last accessed on 26/02/2026).

YouTube. 2024. “A.I. and creators. The future of tech and creativity.” YouTube. https://www.youtube.com/howyoutubeworks/ai-and-creators/?utm_source=linkedin&utm_medium=social&utm_campaign=foc_launch_kc&utm_content=post_9.24.24 (last accessed on 23/08/25).

Zafar, Muhammad Bilal & Ali, Hassnian & Yasin, Talha. 2025. Reimagining human creativity and learning in the age of generative AI: a multi-method meta-thematic synthesis. Next Research 2(4). 1–18. https://doi.org/10.1016/j.nexres.2025.100802 DOI: https://doi.org/10.1016/j.nexres.2025.100802

Zhang, Longyu & Fang, Cong & Wang, Stephen Jia & Wang, Yao & Luo, Shijian. 2025. Students’ attitudes and sentiments toward AI-generated images: deep learning-based social media text mining. Interactive Learning Environments. 1–26. https://doi.org/10.1080/10494820.2025.2545964 DOI: https://doi.org/10.1080/10494820.2025.2545964