The AI-mediated intimacy economy: a paradigm shift in digital interactions
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AI platforms are engines of emotional commodification, transforming users' affective projections and relational investments into valuable behavioral data.
“AI platforms are engines of emotional commodification, transforming users' affective projections and relational investments into valuable behavioral data”
From Toward an Ethic of Synthetic Relationality: Identity, Intimacy, and Risk in AI-Mediated Roleplay Environments (2025) · cites this paper as Bozdag 2024
Cites
Discipline and Punish: The Birth of the Prison.
Zukin, S., Foucault, M., & Sheridan, A. (1996) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2077073 · Cited by 15,425 · see citing works
Handbook of Theory and Research for the Sociology of Education.
O'Shea, D. W., & Richardson, J. G. (1987) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2069964 · Cited by 15,194 · see citing works
Understanding Media: The Extensions of Man
Levine, S., & McLuhan, M. (1964) · American Quarterly · doi:10.2307/2711172 · Cited by 12,215 · see citing works
Artificial intelligence: A modern approach
Nilsson, N. J. (1996) · Artificial Intelligence · doi:10.1016/0004-3702(96)00007-0 · Cited by 10,726 · see citing works
Salovey, P., & Mayer, J. D. (1990) · Imagination, Cognition and Personality · doi:10.2190/dugg-p24e-52wk-6cdg · Cited by 10,484 · see citing works
An argument for basic emotions
Ekman, P. (1992) · Cognition and Emotion · doi:10.1080/02699939208411068 · Cited by 9,646 · see citing works
Does the chimpanzee have a theory of mind?
Premack, D., & Woodruff, G. (1978) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00076512 · Cited by 8,743 · see citing works
Equilibrium points in <i>n</i> -person games
Nash, J. F. (1950) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.36.1.48 · Cited by 7,560 · see citing works
Picard, R. W. (1997) · MIT Press · doi:10.7551/mitpress/1140.001.0001 · Cited by 7,382 · see citing works
Simians, Cyborgs and Women: The Reinvention of Nature
McNeil, M., & Haraway, D. J. (1992) · Feminist Review · doi:10.1057/fr.1992.41 · Cited by 7,095 · see citing works
17. A Value for n-Person Games
Shapley, L. S. (1953) · Contributions to the Theory of Games (AM-28), Volume II · doi:10.1515/9781400881970-018 · Cited by 6,950 · see citing works
Nielsen, R. P., & Axelrod, R. (1985) · Academy of Management Review · doi:10.2307/257983 · Cited by 6,517 · see citing works
What video games have to teach us about learning and literacy
Gee, J. P. (2003) · Computers in Entertainment · doi:10.1145/950566.950595 · Cited by 5,735 · see citing works
Theories of International Migration: A Review and Appraisal
Massey, D. S., Arango, J., Hugo, G. J., Kouaouci, A., Pellegrino, A., & Taylor, J. E. (1993) · Population and Development Review · doi:10.2307/2938462 · Cited by 5,611 · see citing works
Rules of Play: Game Design Fundamentals
Salen, K., & Zimmerman, E. (2003) · Medical Entomology and Zoology · Cited by 5,321 · see citing works
How We Became Posthuman: Virtual Bodies in Cybernetics, Literature, and Informatics
Hayles, N. K. (1999) · doi:10.7208/chicago/9780226321394.001.0001 · Cited by 5,284 · see citing works
The World Is Flat: A Brief History of the Twenty-First Century
Ikenberry, G. J., & Friedman, T. L. (2005) · Foreign Affairs · doi:10.2307/20031715 · Cited by 4,227 · see citing works
Machines and Mindlessness: Social Responses to Computers
Nass, C., & Moon, Y. (2000) · Journal of Social Issues · doi:10.1111/0022-4537.00153 · Cited by 4,022 · cited 1× · see citing works
“Nass and Moon (2000) noted that people often attribute human traits to technology, a concept extended by Festerling and Siraj (2022), who showed that human–tech hybrids can facilitate shared emotional experiences.”
Uses and Gratifications Research
Katz, E., Blumler, J. G., & Gurevitch, M. (1973) · Public Opinion Quarterly · doi:10.1086/268109 · Cited by 4,012 · cited 1× · see citing works
“These examples demonstrate how digital companions cater to deep-seated human needs for companionship and validation, aligning with the Uses and Gratifications Theory (Katz et al. 1973).”
Theory of Games and Economic Behavior
Hawkins, D. (1945) · Philosophy of Science · doi:10.1086/286866 · Cited by 3,970 · see citing works
The ethics of algorithms: Mapping the debate
Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016) · Big Data & Society · doi:10.1177/2053951716679679 · Cited by 3,432 · cited 2× · see citing works
“However, the increasing influence of these tools, powered by sophisticated algorithms, raises ethical concerns about privacy and consent (Zuboff 2019; Mittelstadt et al. 2016).”
Emotional design: why we love (or hate) everyday things
(2004) · Choice Reviews Online · doi:10.5860/choice.41-6846 · Cited by 3,086 · see citing works
Sternberg, R. J. (1986) · Psychological Review · doi:10.1037/0033-295x.93.2.119 · Cited by 2,614 · cited 5× · see citing works
“AI systems strive for personalized, consistent experiences, emulating intimacy and commitment (Sternberg 1986).”
InfluentialThe Proteus Effect: The Effect of Transformed Self-Representation on Behavior
Yee, N., & Bailenson, J. (2007) · Human Communication Research · doi:10.1111/j.1468-2958.2007.00299.x · Cited by 2,126 · see citing works
The age of surveillance capitalism: the fight for a human future at the new frontier of power
Shandler, R. (2019) · Journal of Cyber Policy · doi:10.1080/23738871.2019.1637914 · Cited by 2,113 · see citing works
Licklider, J. C. R. (1960) · IRE Transactions on Human Factors in Electronics · doi:10.1109/thfe2.1960.4503259 · Cited by 1,938 · see citing works
Ali, S., Abuhmed, T., El-Sappagh, S., Muhammad, K., Alonso-Moral, J. M., Confalonieri, R., Guidotti, R., Del Ser, J., Díaz-Rodríguez, N., & Herrera, F. (2023) · Information Fusion · doi:10.1016/j.inffus.2023.101805 · Cited by 1,762 · cited 1× · see citing works
“Explainable AI (XAI) plays a crucial role in enhancing trust in AI systems by making decision-making processes transparent, and comprehensive reviews of XAI techniques, tools, and datasets are essential to tailor explanations to user needs and improve AI effectiveness effectively (Ali et al. 2023).”
An Essay on the Principle of Population (1798)
MALTHUS, T., & LINNÉR, B.-O. (2013) · Yale University Press eBooks · doi:10.2307/j.ctt5vm5bn.7 · Cited by 1,692 · see citing works
The Influences of Emotion on Learning and Memory
Chai, M. T., Amin, H. U., Saad, M. N. M., & Malik, A. S. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01454 · Cited by 1,652 · see citing works
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Bubeck, S., Chandrasekaran, V., Eldan, R., Gehrke, J., Horvitz, E., Kamar, E., Lee, P., Lee, Y. T., Li, Y., Lundberg, S., et al. (2023) · arXiv · doi:10.48550/arxiv.2303.12712 · Cited by 1,526 · see citing works
The Rise of the Network Society - The Information Age: Economy, Society, and Culture
Kızılhan, T., & Kizilhan, S. B. (2016) · Contemporary Educational Technology · doi:10.30935/cedtech/6177 · Cited by 1,220 · see citing works
Artificial Intelligence: A New Synthesis
(1998) · Elsevier eBooks · doi:10.1016/c2009-0-27773-7 · Cited by 1,207 · see citing works
AUGMENTING HUMAN INTELLECT: A CONCEPTUAL FRAMEWORK
Engelbart, D. C. (1962) · doi:10.21236/ad0289565 · Cited by 1,091 · see citing works
Hochschild, A. R. (2003) · University of California Press eBooks · doi:10.1525/9780520930414 · Cited by 1,085 · see citing works
The accuracy, fairness, and limits of predicting recidivism
Dressel, J., & Farid, H. (2018) · Science Advances · doi:10.1126/sciadv.aao5580 · Cited by 1,071 · see citing works
Digital twin: origin to future
Singh, M., Fuenmayor, E., Hinchy, E., Qiao, Y., Murray, N., & Devine, D. (2021) · Applied System Innovation · doi:10.3390/asi4020036 · Cited by 1,038 · see citing works
Berlant, L. (1998) · Critical Inquiry · doi:10.1086/448875 · Cited by 1,034 · see citing works
Shoham, Y., & Leyton‐Brown, K. (2008) · Cambridge University Press eBooks · doi:10.1017/cbo9780511811654 · Cited by 979 · see citing works
Ferrara, E. (2023) · Sci · doi:10.3390/sci6010003 · Cited by 875 · cited 1× · see citing works
“…environmental challenges posed by AI and cloud computing require holistic strategies to mitigate their substantial carbon and water footprints, underscoring the necessity for an industry-wide commitment to environmentally responsible AI development (Wu et al. 2022; Ferrara 2023; Li et al. 2023).”
The Dark (Patterns) Side of UX Design
Gray, C. M., Kou, Y., Battles, B., Hoggatt, J., & Toombs, A. L. (2018) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174108 · Cited by 871 · see citing works
Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites
Mathur, A., Acar, G., Friedman, M. J., Lucherini, E., Mayer, J., Chetty, M., & Narayanan, A. (2019) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3359183 · Cited by 816 · see citing works
Langman, L. (2007) · The Blackwell Encyclopedia of Sociology · doi:10.1002/9781405165518.wbeoss122 · Cited by 782 · see citing works
Why Some Things Should Not Be for Sale
Satz, D. M. (2010) · doi:10.1093/acprof:oso/9780195311594.001.0001 · Cited by 735 · see citing works
Computational intelligence: a logical approach
(1998) · Choice Reviews Online · doi:10.5860/choice.35-5701 · Cited by 726 · see citing works
Humility : Theoretical perspectives, empirical findings and directions for future research
Tangney, J. P. (2000) · Journal of Social and Clinical Psychology · doi:10.1521/jscp.2000.19.1.70 · Cited by 579 · see citing works
Towards a standard for identifying and managing bias in artificial intelligence
Schwartz, R., Vassilev, A., Greene, K., Perine, L., Burt, A., & Hall, P. (2022) · doi:10.6028/nist.sp.1270 · Cited by 548 · cited 1× · see citing works
“The intimacy economy necessitates a transparent algorithmic design that respects sensitive information, minimizes bias, avoids demographic favoritism, enhances user control, ensures differential privacy, and adheres to strict external regulation (Schwartz et al. 2022; Stark and Hoey 2021).”
What is a flag for? Social media reporting tools and the vocabulary of complaint
Crawford, K., & Gillespie, T. (2016) · New Media & Society · doi:10.1177/1461444814543163 · Cited by 496 · see citing works
Shining a Light on Dark Patterns
Luguri, J. B., & Strahilevitz, L. (2019) · The Journal of Legal Analysis · doi:10.1093/jla/laaa006 · Cited by 476 · see citing works
Khare, S. K., Blanes‐Vidal, V., Nadimi, E. S., & Acharya, U. R. (2023) · Information Fusion · doi:10.1016/j.inffus.2023.102019 · Cited by 475 · see citing works
User Experiences of Social Support From Companion Chatbots in Everyday Contexts: Thematic Analysis
Ta, V., Griffith, C., Boatfield, C., Wang, X., Civitello, M., Bader, H., DeCero, E., & Loggarakis, A. (2020) · Journal of Medical Internet Research · doi:10.2196/16235 · Cited by 461 · cited 1× · see citing works
“This underlines AI's role in transforming social interactions, blending technological advancements with intrinsic human needs (Ta et al. 2020).”
Liu-Thompkins, Y., Okazaki, S., & Li, H. (2022) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-022-00892-5 · Cited by 441 · see citing works
Emotional intelligence, Machiavellianism and emotional manipulation: Does EI have a dark side?
Austin, E. J., Farrelly, D., Black, C., & Moore, H. (2007) · Personality and Individual Differences · doi:10.1016/j.paid.2006.11.019 · Cited by 423 · see citing works
The Assessment of Social Intimacy
Miller, R. S., & Lefcourt, H. M. (1982) · Journal of Personality Assessment · doi:10.1207/s15327752jpa4605_12 · Cited by 420 · see citing works
AI: the tumultuous history of the search for artificial intelligence
(1993) · Choice Reviews Online · doi:10.5860/choice.31-1555 · Cited by 420 · see citing works
GRASSROOTING THE SPACE OF FLOWS
Castells, M. (1999) · Urban Geography · doi:10.2747/0272-3638.20.4.294 · Cited by 413 · see citing works
Love and Sex with Robots: The Evolution of Human-robot Relationships
Sullins, J. P. (2010) · Industrial Robot the international journal of robotics research and application · doi:10.1108/ir.2010.04937dae.001 · Cited by 406 · see citing works
Sustainable AI: Environmental Implications, Challenges and Opportunities
Wu, C.-J., Raghavendra, R., Gupta, U., Acun, B., Ardalani, N., Maeng, K., Chang, G., Behram, F. A., Huang, J., Bai, C., et al. (2021) · arXiv · doi:10.48550/arxiv.2111.00364 · Cited by 405 · see citing works
Coming of Age in Second Life: An Anthropologist Explores the Virtually Human
King, T. J., & Warren, I. (2009) · The Australian Journal of Anthropology · doi:10.1111/j.1757-6547.2009.00060.x · Cited by 394 · see citing works
Cultural bias and cultural alignment of large language models
Tao, Y., Viberg, O., Baker, R. S., & Kizilcec, R. F. (2024) · PNAS Nexus · doi:10.1093/pnasnexus/pgae346 · Cited by 383 · cited 1× · see citing works
“However, these methods must account for diverse cultural interpretations of emotional cues to avoid biases prevalent in Western-centric AI models (Tao et al., 2024; Ge et al. 2024; Peters and Carman 2024).”
How Blockchain Will Change Organizations
Tapscott, D., & Tapscott, A. (2018) · The MIT Press eBooks · doi:10.7551/mitpress/11645.003.0010 · Cited by 378 · see citing works
Emotional Design in Digital Media for Learning
Plass, J. L., & Kaplan, U. (2016) · Emotions, Technology, Design, and Learning · doi:10.1016/b978-0-12-801856-9.00007-4 · Cited by 377 · see citing works
Wilson, G. F., & Russell, C. A. (2003) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/hfes.45.4.635.27088 · Cited by 376 · see citing works
Computers, Communications, and the Public Interest.
Smith, D. H., & Greenberger, M. (1974) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2062571 · Cited by 371 · see citing works
Measuring the predictability of life outcomes with a scientific mass collaboration
Salganik, M. J., Lundberg, I., Kindel, A. T., Ahearn, C. E., Al-Ghoneim, K., Almaatouq, A., Altschul, D. M., Brand, J. E., Carnegie, N. B., Compton, R. J., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1915006117 · Cited by 322 · see citing works
Feeling our way to machine minds: people's emotions when perceiving mind in artificial intelligence
Shank, D. B., Graves, C., Gott, A., Gamez, P., & Rodriguez, S. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.04.001 · Cited by 293 · see citing works
Humility: Review of measurement strategies and conceptualization as personality judgment
Davis, D. E., Worthington, E., & Hook, J. (2010) · The Journal of Positive Psychology · doi:10.1080/17439761003791672 · Cited by 288 · see citing works
Bhabha, H. Κ. (1992) · Social Text · doi:10.2307/466222 · Cited by 286 · see citing works
UI Dark Patterns and Where to Find Them
Geronimo, L. D., Braz, L., Fregnan, E., Palomba, F., & Bacchelli, A. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376600 · Cited by 280 · see citing works
Large Language Models Can Self-Improve
Huang, J., Gu, S., Hou, L., Wu, Y., Wang, X., Yu, H., & Han, J. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/2023.emnlp-main.67 · Cited by 230 · see citing works
Large Language Models Can Self-Improve
Huang, J., Gu, S. S., Hou, L., Wu, Y., Wang, X., Yu, H., & Han, J. (2022) · arXiv · doi:10.48550/arxiv.2210.11610 · Cited by 230 · see citing works
Crawford, J., Allen, K.-A., Pani, B., & Cowling, M. (2024) · Studies in Higher Education · doi:10.1080/03075079.2024.2326956 · Cited by 224 · see citing works
Devavrat Shah, B. (2009) · Foundations and Trends® in Networking · doi:10.1561/1300000014 · Cited by 198 · see citing works
Song, X., Xu, B., & Zhao, Z. (2022) · Information & Management · doi:10.1016/j.im.2022.103595 · Cited by 193 · see citing works
The Ethics of Emotion in Artificial Intelligence Systems
Stark, L., & Hoey, J. (2021) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3442188.3445939 · Cited by 187 · see citing works
Intimacy: A behavioral interpretation
Córdova, J. V., & Scott, R. L. (2001) · The Behavior Analyst · doi:10.1007/bf03392020 · Cited by 181 · see citing works
A survey on popularity bias in recommender systems
Klimashevskaia, A., Jannach, D., Elahi, M., & Trattner, C. (2024) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-024-09406-0 · Cited by 179 · see citing works
Artificial intelligence (AI) and management analytics
Haenlein, M., Kaplan, A., Tan, C., & Zhang, P. (2019) · Journal of Management Analytics · doi:10.1080/23270012.2019.1699876 · Cited by 177 · see citing works
Artificial intelligence powered Metaverse: analysis, challenges and future perspectives
Soliman, M., Ahmed, E., Darwish, A., & Hassanien, A. E. (2024) · Artificial Intelligence Review · doi:10.1007/s10462-023-10641-x · Cited by 175 · see citing works
Humans inherit artificial intelligence biases
Vicente, L., & Matute, H. (2023) · Scientific Reports · doi:10.1038/s41598-023-42384-8 · Cited by 158 · see citing works
Contested Commodities: The Trouble with Trade in Sex, Children, Body Parts and Other Things
Hadfield, G. K., & Radin, M. J. (1998) · University of Toronto Law Journal · doi:10.2307/825921 · Cited by 153 · see citing works
Park, G., Chung, J., & Lee, S. (2022) · Current Psychology · doi:10.1007/s12144-022-03932-z · Cited by 153 · see citing works
Knowing me, knowing you: theory of mind in AI
Fabio Cuzzolin, A., Morelli, A., Cîrstea, B.-I., & Sahakian, B. J. (2020) · Psychological Medicine · doi:10.1017/s0033291720000835 · Cited by 152 · see citing works
The mirror stage as formative of the function of the I as revealed in psychoanalytic experience
Lacan, J., & Sheridan, A. (2021) · Écrits · doi:10.4324/9781003209140-1 · Cited by 152 · see citing works
Artificial Intelligence in the Colonial Matrix of Power
Muldoon, J., & Wu, B. A. (2023) · Philosophy & Technology · doi:10.1007/s13347-023-00687-8 · Cited by 148 · see citing works
The Cloud Is Material: On the Environmental Impacts of Computation and Data Storage
Monserrate, S. G. (2022) · MIT Case Studies in Social and Ethical Responsibilities of Computing · doi:10.21428/2c646de5.031d4553 · Cited by 145 · cited 1× · see citing works
“The crucial role of human oversight in these systems underscores the importance of integrating environmental considerations into operational decisions to safeguard the future of technology and the environment (Monserrate 2022).”
Principles of Synthetic Intelligence PSI: An Architecture of Motivated Cognition
Bach, J. (2009) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195370676.001.0001 · Cited by 145 · see citing works
AI companions for lonely individuals and the role of social presence
Merrill, K., Kim, J., & Collins, C. (2022) · Communication Research Reports · doi:10.1080/08824096.2022.2045929 · Cited by 142 · see citing works
Differential use of sensory information in sexual behavior as a function of gender
Herz, R. S., & Cahill, E. D. (1997) · Human Nature · doi:10.1007/bf02912495 · Cited by 140 · see citing works
(2013) · Elsevier eBooks · doi:10.1016/c2011-0-00016-9 · Cited by 139 · see citing works
Grewal, D. S. (2014) · IOSR Journal of Computer Engineering · doi:10.9790/0661-16210913 · Cited by 129 · see citing works
Emotional intelligence of Large Language Models
Wang, X., Li, X., Yin, Z., Wu, Y., & Liu, J. (2023) · Journal of Pacific Rim Psychology · doi:10.1177/18344909231213958 · Cited by 128 · see citing works
A comprehensive survey on emotion recognition based on electroencephalograph (EEG) signals
Kamble, K. S., & Sengupta, J. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-14489-9 · Cited by 126 · see citing works
Stahlberg, E. A., Abdel‐Rahman, M. H., Aguilar, B. H., Asadpoure, A., Beckman, R. A., Borkon, L. L., Bryan, J. N., Cebulla, C. M., Chang, Y. H., Chatterjee, S., et al. (2022) · Frontiers in Digital Health · doi:10.3389/fdgth.2022.1007784 · Cited by 122 · see citing works
How Culture Shapes What People Want From AI
Ge, X., Xu, C., Misaki, D., Markus, H. R., & Tsai, J. L. (2024) · International Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642660 · Cited by 118 · see citing works
Watson, A., Lupton, D. A., & Michael, M. (2020) · Media International Australia · doi:10.1177/1329878x20961568 · Cited by 116 · see citing works
Detection of emotion by text analysis using machine learning
Machová, K., Szabóová, M., Paralič, J., & Mičko, J. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1190326 · Cited by 113 · see citing works
Colombo, M., & Piccinini, G. (2023) · doi:10.1017/9781009183734 · Cited by 102 · see citing works
Davila-Gonzalez, S., & Martín, S. (2024) · Sensors · doi:10.3390/s24020655 · Cited by 100 · see citing works
Loneliness and Its Association With Social Media Use During the COVID-19 Outbreak
Bonsaksen, T., Ruffolo, M. C., Leung, J., Price, D., Thygesen, H., Schoultz, M., & Geirdal, A. Ø. (2021) · Social Media + Society · doi:10.1177/20563051211033821 · Cited by 98 · see citing works
da Costa, T. P., Costa, D., & Murphy, F. (2024) · Environmental Impact Assessment Review · doi:10.1016/j.eiar.2024.107416 · Cited by 98 · see citing works
Digital Twin Model: A Real-Time Emotion Recognition System for Personalized Healthcare
Subramanian, B., Kim, J., Maray, M., & Paul, A. (2022) · IEEE Access · doi:10.1109/access.2022.3193941 · Cited by 98 · see citing works
Santos, M. R., Guedes, L. A., & Sánchez-Gendriz, I. (2024) · Machine Learning and Knowledge Extraction · doi:10.3390/make6010016 · Cited by 90 · see citing works
Institutionalization of Usability: A Step-By-Step Guide
Schaffer, E. M. (2004) · Cited by 90 · see citing works
The rise of digisexuality: therapeutic challenges and possibilities
McArthur, N., & Twist, M. L. C. (2017) · Sexual & Relationship Therapy · doi:10.1080/14681994.2017.1397950 · Cited by 89 · see citing works
Affective Computing: Historical Foundations, Current Applications, and Future Trends
Daily, S. B., James, M. T., Cherry, D., Porter, J. J., Darnell, S. S., Isaac, J., & Roy, T. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-801851-4.00009-4 · Cited by 74 · see citing works
Festerling, J., & Siraj, I. (2021) · Integrative Psychological and Behavioral Science · doi:10.1007/s12124-021-09668-y · Cited by 74 · see citing works
Cultural Bias in Explainable AI Research: A Systematic Analysis
Peters, U., & Carman, M. (2024) · Journal of Artificial Intelligence Research · doi:10.1613/jair.1.14888 · Cited by 73 · see citing works
The Negative Impact of Social Media during COVID-19 Pandemic
Lelisho, M. E., Pandey, D., Alemu, B. D., Pandey, B. K., & Tareke, S. A. (2022) · Trends in Psychology · doi:10.1007/s43076-022-00192-5 · Cited by 72 · see citing works
Personality and Individual Differences: Current Directions
Hicks, R. E. (2010) · e-publications@bond (Bond University) · Cited by 67 · see citing works
Cubitt, S. (2001) · SAGE Publications Ltd eBooks · doi:10.4135/9781446218686 · Cited by 63 · see citing works
Chamorro, L. S., Bongard-Blanchy, K., & Koenig, V. (2023) · Designing Interactive Systems Conference · doi:10.1145/3563657.3596013 · Cited by 60 · see citing works
Social and political trust diverge during a crisis
Aassve, A., Capezzone, T., Cavalli, N., Conzo, P., & Chen, P. (2024) · Scientific Reports · doi:10.1038/s41598-023-50898-4 · Cited by 60 · see citing works
The Beaubourg-Effect: Implosion and Deterrence
Baudrillard, J., Krauss, R. E., & Michelson, A. (1982) · October · doi:10.2307/778604 · Cited by 58 · see citing works
How to stay smart in a smart world: Why human intelligence still beats algorithms
Gigerenzer, G. (2021) · Cited by 56 · see citing works
Pal, D., Vanijja, V., Thapliyal, H., & Zhang, X. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107788 · Cited by 53 · see citing works
Semantic Capital: Its Nature, Value, and Curation
Floridi, L. (2018) · Philosophy & Technology · doi:10.1007/s13347-018-0335-1 · Cited by 51 · see citing works
de Melo, C. M., & Terada, K. (2020) · Scientific Reports · doi:10.1038/s41598-020-71919-6 · Cited by 47 · see citing works
Artificial influencers and the dead internet theory
Walter, Y. (2024) · AI & Society · doi:10.1007/s00146-023-01857-0 · Cited by 42 · see citing works
The Symposium and the Phaedrus: Plato's erotic dialogues
(1994) · Choice Reviews Online · doi:10.5860/choice.31-5984 · Cited by 40 · see citing works
Nyholm, S., & Frank, L. E. (2019) · Techné Research in Philosophy and Technology · doi:10.5840/techne2019122110 · Cited by 39 · see citing works
Digital twins of organization: implications for organization design
Lyytinen, K., Weber, B., Becker, M. C., & Pentland, B. T. (2023) · Journal of Organization Design · doi:10.1007/s41469-023-00151-z · Cited by 38 · see citing works
Feature extraction-reduction and machine learning for fault diagnosis in PV panels
Chokr, B., Chatti, N., Charki, A., Lemenand, T., & Hammoud, M. (2023) · Solar Energy · doi:10.1016/j.solener.2023.111918 · Cited by 36 · see citing works
No secrets between the two of us: Privacy concerns over using AI agents.
Lim, S., & Shim, H. (2022) · Cyberpsychology Journal of Psychosocial Research on Cyberspace · doi:10.5817/cp2022-4-3 · Cited by 35 · see citing works
Emotion in Human-Computer Interaction
Peter, C., & Urban, B. (2012) · Springer eBooks · doi:10.1007/978-1-4471-2804-5_14 · Cited by 35 · see citing works
Kozak, J., & Fel, S. (2024) · Religions · doi:10.3390/rel15030331 · Cited by 34 · see citing works
Intimacy, home, and emotions in the era of the pandemic
Durnová, A. P., & Mohammadi, E. (2021) · Sociology Compass · doi:10.1111/soc4.12852 · Cited by 31 · see citing works
Testing scenarios for using telepresence robots in healthcare settings
Leoste, J., Strömberg-Järvis, K., Robal, T., Marmor, K., Kangur, K., & Rebane, A.-M. (2024) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2024.01.004 · Cited by 29 · see citing works
Digital Intimacy in China and Japan
Liberati, N. (2022) · Human Studies · doi:10.1007/s10746-022-09631-9 · Cited by 28 · see citing works
Razzaq, M. A., Hussain, J., Bang, J., Hua, C.-H., Satti, F. A., Rehman, U. U., Bilal, H. S. M., Kim, S. T., & Lee, S. (2023) · Sensors · doi:10.3390/s23094373 · Cited by 28 · see citing works
Liu, J., Ang, M. C., Chaw, J. K., Kor, A.-L., & Ng, K. W. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.120857 · Cited by 27 · see citing works
Soares, I. V., Yarime, M., & Klemun, M. (2024) · Environmental Science & Policy · doi:10.1016/j.envsci.2024.103769 · Cited by 27 · see citing works
Ting, A., & McLachlan, C. S. (2022) · Social Sciences · doi:10.3390/socsci11070297 · Cited by 26 · see citing works
Emotional Experience during Human-Computer Interaction: A Survey
Tang, L., Yuan, P., & Zhang, D. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2259710 · Cited by 25 · see citing works
The Challenges of Keeping an Intimate Relationship: An Evolutionary Examination
Apostolou, M., & Wang, Y. (2020) · Evolutionary Psychology · doi:10.1177/1474704920953526 · Cited by 21 · see citing works
Guingrich, R. E., & Graziano, M. S. A. (2023) · arXiv · doi:10.48550/arxiv.2311.10599 · Cited by 21 · see citing works
Towards Blockchain Decentralized Autonomous Organizations (DAO) Design
Saurabh, K., Upadhyay, P., & Rani, N. (2024) · Information Systems Frontiers · doi:10.1007/s10796-023-10455-w · Cited by 20 · see citing works
Identifying Dark Patterns in User Account Disabling Interfaces: Content Analysis Results
Kelly, D., & Rubin, V. L. (2024) · Social Media + Society · doi:10.1177/20563051231224269 · Cited by 20 · see citing works
Jabbari, J., Roll, S., McQueen, A., & Ridenour, N. A. (2024) · Nursing Open · doi:10.1002/nop2.2125 · Cited by 20 · see citing works
Commentary: The Ethical Use of Powerful Words and Persuasive Machines
Donath, J. S. (2020) · Journal of Marketing · doi:10.1177/0022242920973975 · Cited by 19 · see citing works
Emotion Distribution Learning Based on Peripheral Physiological Signals
Shu, Y., Yang, P., Liu, N., Zhang, S., Zhao, G., & Liu, Y. (2022) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2022.3163609 · Cited by 19 · see citing works
Examining Autocompletion as a Basic Concept for Interaction with Generative AI
Lehmann, F., & Buschek, D. (2020) · i-com · doi:10.1515/icom-2020-0025 · Cited by 18 · see citing works
A neural signature of social support mitigates negative emotion
Pei, R., Courtney, A. L., Ferguson, I. T., Brennan, C. M., & Zaki, J. (2023) · Scientific Reports · doi:10.1038/s41598-023-43273-w · Cited by 18 · see citing works
The Bumble motivations framework- exploring a dating App's uses by emerging adults in India
Menon, D. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e24819 · Cited by 18 · see citing works
DAO Decentralization: Voting-Bloc Entropy, Bribery, and Dark DAOsPreprint
Austgen, J., Fábrega, A., Allen, S., Babel, K., Kelkar, M., & Juels, A. (2023) · arXiv (Cornell University) · doi:10.48550/arxiv.2311.03530 · Cited by 18 · see citing works
Weibel, M., Hallström, I., Skoubo, S., Bertel, L. B., Schmiegelow, K., & Larsen, H. B. (2023) · Children & Society · doi:10.1111/chso.12776 · Cited by 17 · see citing works
Functional intimacy: Needing—But not wanting—The touch of a stranger.
Schroeder, J., Ayelet Fishbach, B., Schein, C., & Gray, K. J. (2017) · Journal of Personality and Social Psychology · doi:10.1037/pspi0000104 · Cited by 16 · see citing works
Development of empathy through Socioemotional Artificial Intelligence
Gómez-León, M. I., & Universidad Internacional de La Rioja, E. (2022) · Papeles del Psicólogo - Psychologist Papers · doi:10.23923/pap.psicol.2996 · Cited by 15 · see citing works
Youth loneliness in pandemic times: a qualitative study in Quebec and Ontario
de Velde, C. V., Boudreault, S., & Berniard, L. (2023) · International Journal of Adolescence and Youth · doi:10.1080/02673843.2023.2223671 · Cited by 15 · see citing works
Can artificial intelligence reach human thought?
FOKAS, A. S. (2023) · PNAS Nexus · doi:10.1093/pnasnexus/pgad409 · Cited by 15 · see citing works
Myles, D., Duguay, S., & Dietzel, C. (2021) · Routledge eBooks · doi:10.4324/9781003111344-10 · Cited by 15 · see citing works
Mestvirishvili, M., Mestvirishvili, N., Kvitsiani, M., & Kamushadze, T. (2020) · Psychological Studies · doi:10.1007/s12646-020-00564-w · Cited by 14 · see citing works
Towards a Theory of Mind for Artificial Intelligence Agents
Schossau, J., & Hintze, A. (2023) · Conference on Artificial Life (ALIFE) · doi:10.1162/isal_a_00605 · Cited by 14 · see citing works
Homi Bhabha’s Third Space and NeocolonialismPreprint
Abou-Agag, N. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3820037 · Cited by 13 · see citing works
Hung, L., Lake, C., Hussein, A., Wong, J., & Mann, J. (2023) · Research Involvement and Engagement · doi:10.1186/s40900-023-00421-w · Cited by 13 · see citing works
Liars and Trolls and Bots Online: The Problem of Fake Persons
Harris, K. R. (2023) · Philosophy & Technology · doi:10.1007/s13347-023-00640-9 · Cited by 11 · see citing works
Knowles, B., D’Cruz, J., Richards, J. T., & Varshney, K. R. (2023) · Communications of the ACM · doi:10.1145/3587035 · Cited by 11 · see citing works
Zhang, H., Xiang, Z., & Yin, J. (2023) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2023.100019 · Cited by 11 · see citing works
Li, W., Chen, S., Sun, L., & Yang, C. (2023) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3579546 · Cited by 11 · see citing works
Löfgren-Mårtenson, L., Elmerstig, E., Schröder, J., Chollier, M., Mehulić, J., de Graaf, H., Klapilová, K., Tavares, I. M., Briken, P., Köse, Ö., et al. (2022) · Sexuality & Culture · doi:10.1007/s12119-022-10035-1 · Cited by 11 · see citing works
Logical big data integration and near real-time data analytics
Silva, B., Moreira, J. M., & Costa, R. L. D. C. (2023) · Data & Knowledge Engineering · doi:10.1016/j.datak.2023.102185 · Cited by 10 · see citing works
The Use of New Media Technology in Families and Its Impact on Intimacy
Nabela, H. R., & Rianto, P. (2020) · Asian Journal of Media and Communication · doi:10.20885/asjmc.vol4.iss2.art3 · Cited by 9 · see citing works
The influence of digital twins on the methods of film and television creation
Li, L. (2022) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2022.108314 · Cited by 9 · see citing works
The Role of Gossiping in Information Dissemination over a Network of Agents
Baştopçu, M., Etesami, S. R., & Başar, T. (2023) · Entropy · doi:10.3390/e26010009 · Cited by 9 · see citing works
Sex robots and virtual reality sex: advantages and challenges
Sperber, S. (2023) · International Journal of Impotence Research · doi:10.1038/s41443-023-00766-6 · Cited by 9 · see citing works
Feeling rules in artificial intelligence: norms for anger management
Monrad, M. (2024) · Emotions and Society · doi:10.1332/26316897y2024d000000016 · Cited by 8 · see citing works
Spontaneous Theory of Mind for Artificial Intelligence
Gurney, N., Pynadath, D. V., & Ustun, V. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-60405-8_5 · Cited by 8 · see citing works
Editorial: Machine learning approaches to recognize human emotions
Valderrama, C. E., Ferreira, M. G. G., Torres, J. M. M., Garcia-Ramirez, A. R., & Camorlinga, S. G. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1333794 · Cited by 8 · see citing works
Gîrju, R. (2023) · IOP Conference Series Materials Science and Engineering · doi:10.1088/1757-899x/1292/1/012020 · Cited by 7 · see citing works
Media Technologies and Posthuman Intimacy
Stasieńko, J. (2021) · Bloomsbury Academic eBooks · doi:10.5040/9781501380549 · Cited by 7 · see citing works
The Great Reckoning: Protect Yourself in the Coming Depression
Davidson, J. D., & Rees-Mogg, W. (1993) · Cited by 7 · see citing works
Lu, Z., Wang, T., & Zhang, R. (2023) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2023.1237252 · Cited by 7 · see citing works
ReALM: Reference Resolution as Language Modeling
Moniz, J. R. A., Krishnan, S., Ozyildirim, M., Saraf, P., Ates, H. C., Zhang, Y., & Yu, H. (2024) · Annual Meeting of the Special Interest Group on Discourse and Dialogue · doi:10.18653/v1/2024.sigdial-1.5 · Cited by 7 · see citing works
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Tian, Y. Z., Peng, B., Song, L., Jin, L., Yu, D., Han, L., Mi, H., & Yu, D. (2024) · neural information processing systems · doi:10.52202/079017-1670 · Cited by 7 · see citing works
Universal Intelligence: A Definition of Machine IntelligencePreprint
Legg, S., & Hütter, M. (2007) · arXiv (Cornell University) · doi:10.48550/arxiv.0712.3329 · Cited by 6 · see citing works
Reese, A. (2023) · The New Scientist · doi:10.1016/s0262-4079(23)02156-5 · Cited by 6 · see citing works
Brain-inspired computing based on deep learning for human-computer interaction: A review
Yu, B., Zhang, S., Zhou, L., Wei, J., Sun, L., & Bu, L. (2025) · Neurocomputing · doi:10.1016/j.neucom.2025.130928 · Cited by 6 · see citing works
The Path to AGI Goes through Embodiment
Tan, C., & Jaiswal, S. (2023) · Proceedings of the AAAI Symposium Series · doi:10.1609/aaaiss.v1i1.27485 · Cited by 4 · see citing works
Legal incentives for innovations in the emotional AI domain: a carrot and stick approach?
Ballardini, R. M., van Genderen, R. V. D. H., & Nokelainen, T. S. (2024) · Journal of Intellectual Property Law & Practice · doi:10.1093/jiplp/jpae041 · Cited by 4 · see citing works
Aligning Language Models to Explicitly Handle AmbiguityPreprint
Kim, H. J., Kim, Y., Park, C., Kim, J., Park, C., Yoo, K. M., Lee, S., & Kim, T. (2024) · arXiv (Cornell University) · doi:10.48550/arxiv.2404.11972 · Cited by 3 · see citing works
Deep Generative Modeling for Neural Compression
Tomczak, J. M. (2021) · Springer eBooks · doi:10.1007/978-3-030-93158-2_8 · Cited by 2 · see citing works
Shi, Z. (2021) · Elsevier eBooks · doi:10.1016/b978-0-323-85380-4.00011-7 · Cited by 2 · see citing works
What is Meant by AGI? On the Definition of Artificial General IntelligencePreprint
Xu, B. (2024) · arXiv (Cornell University) · doi:10.48550/arxiv.2404.10731 · Cited by 2 · see citing works
From Language Models to Practical Self-Improving Computer AgentsPreprint
Sheng, A. (2024) · arXiv (Cornell University) · doi:10.48550/arxiv.2404.11964 · Cited by 2 · see citing works
Chapter 1. Encounters of Intimacy and Economy
(2009) · Princeton University Press eBooks · doi:10.1515/9781400826759.7 · Cited by 1 · see citing works
A Virtual companion in COVID-19 times
Ramirez, S. I. C., Bello, G. C., & Galindo, M. O. (2020) · International Conference on Inclusive Technologies and Education (CONTIE) · doi:10.1109/contie51334.2020.00045 · Cited by 1 · see citing works
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Artificial Intelligence and the Psychology of Human Connection
Boyd, R. L., & Markowitz, D. M. (2026) · Perspectives on Psychological Science · doi:10.1177/17456916251404394 · Cited by 61 · see citing works
Chen, J., Wang, S., & Ke, W. (2026) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2026.104840 · Cited by 7 · see citing works
Shaping Empathy and Trust Toward Agents: The Role of Agent Behavior Modification and Attitude
Tsumura, T., & Yamada, S. (2025) · IEEE Access · doi:10.1109/access.2025.3584456 · Cited by 6 · see citing works
Bhat, M. (2025) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society · doi:10.1609/aies.v8i1.36560 · Cited by 5 · see citing works
Parasocial Interaction and Virtual Influencers
Akhtar, M. J., & Nagvanshi, S. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-0255-3.ch006 · Cited by 3 · see citing works
Subscribe to intimacy: platform capitalism, governance, and the stratification of AI companionship
Lan, J., Deng, K. K., & Huang, Y. (2026) · Telematics and Informatics · doi:10.1016/j.tele.2026.102446 · Cited by 2 · see citing works
Culture as a Reflection of Heritage and Identity: A Thematic Analysis
Sharma, L. R. (2025) · Journal of Foreign Languages Cultures and Civilizations · doi:10.15640/jflcc.v13p14 · Cited by 1 · see citing works
Immersive Artificial Intelligence and the Ethics of Virtual Experience
Forrester, P., & Kim, T. W. (2025) · Computer · doi:10.1109/mc.2025.3572692 · Cited by 1 · see citing works
Applied ethics: synthetic phenomenology will not go away
Metzinger, T. K. (2025) · Frontiers in Science · doi:10.3389/fsci.2025.1702840 · Cited by 1 · see citing works
Anthropomorphic AI in retail: Machine, assistant, or coworker?
Park, J., Chen, Y., & Kim, M. (2026) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2026.104871 · Cited by 1 · see citing works
Artificial Emotional IntelligencePreprint
Chen, A., & Ciriello, R. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5353196 · Cited by 1 · see citing works
Hilbert, M., Vishen, P., Akula, A., Thakur, A., Sruthy, S., Tallapragada, B., & Ghasemzadeh, A. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5634210 · Cited by 1 · see citing works
Veldhuis, A., Kenny, S., Antle, A. N., Kirmiziyesil, Z., Felsinger, D. N., & Murai, Y. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6482397 · Cited by 1 · see citing works
Aziz, T. S. A., Ramalingam, V., S, N. P. K., Devadhas, D. N. P., & Kumar, A. (2025) · Journal of Machine and Computing · doi:10.53759/7669/jmc202505158
From the Attention-to the Intimacy-Economy?Preprint
Hilbert, M. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5634310 · Cited by 1 · see citing works
Reinforcement Learning (RL) for Dynamic Credit Limits Using Java and Cloud-Based AI Services
Yachamaneni, T., Arora, A. S., & Kotadiya, U. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-14189-7_36
Bozdağ, A. A. (2026) · Doğuş Üniversitesi Dergisi · doi:10.31671/doujournal.1616732
Self-citationGenerative AI and the Future of Digital Impression Management
Yahia, K. B. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-5519-1.ch008
Bozdağ, A. A. (2026) · Philosophy & Technology · doi:10.1007/s13347-026-01064-x
Self-citationReconfiguring Intimacy With AI Companions
Wenxi, W. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-6623-4.ch003
Gomez, M. G. A. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-6623-4.ch009
Why mental metaphors do not help us understand chatbot mistakes
Pantsar, M., & Fabry, R. E. (2026) · Synthese · doi:10.1007/s11229-026-05551-8 · Cited by 1 · see citing works
Kazemikhasragh, A., Guadaño, J. F., & Leporati, M. (2026) · Global Business Review · doi:10.1177/09721509261438622
Artifical Intelligence and Digital Marketing
Couto, A., Sousa, B. B., & Santos, L. G. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-8337-8.ch004
Toward Digital Wisdom in General Education
Xu, X. P. (2026) · IGI Global eBooks · doi:10.4018/979-8-2600-1133-1.ch006
Human 2.0? AI and the Future of Well-Being, Connection, and Personal Growth: A Narrative Review
Vannoy, T. K., Cadieux, S., & Lyubomirsky, S. (2026) · Behavioral Sciences · doi:10.3390/bs16060909
Zhang, Z., Zhou, Y., & Chen, X. H. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2695435
Bilgici, C., & Şişman, Ö. Ö. (2026) · Connectist Istanbul University Journal of Communication Sciences · doi:10.26650/connectist2026-1756435
Namvarpour, M., Mhetras, A., Medina, J. Y., Akter, M., & Razi, A. (2026) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3816046.3816214
Namvarpour, M., Mhetras, A., Medina, J. Y., Akter, M., & Razi, A. (2026) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3816046.3816287
Trust in AI-Driven Avatar Marketing: A Bibliometric Analysis of Ethical Concerns and Research Trends
Blaj, A., Neacșu, N. A., & Grancea, A. (2026) · Proceedings of the ... International Conference on Business Excellence · doi:10.2478/picbe-2026-0259
Trust, Transparency, and Ethics in AI-Driven Consumer Engagement
Haque, A., Faisal-E-Alam, M., Akter, M. S., Rupa, R. A., & Islam, M. Z. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-2600-2977-0.ch001
Sexting, Cybersex and Technology-Mediated Sex
Courtice, E. L., & Freiman, L. (2026) · Springer eBooks · doi:10.1007/978-3-031-52643-5_121-1
Digital Footprint Capital: AI, identity, and the algorithmic governance of creative work
Haidemariam, T. (2026) · Information Communication & Society · doi:10.1080/1369118x.2026.2716340
Liu, Z., Li, Y., Liu, C., Zhao, X., Zhao, X., & 殷文娣 (2026) · Procedia Computer Science · doi:10.1016/j.procs.2026.07.189
Nag, A., Singh, S., & Rathore, A. S. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-9700-9.ch014
Love as Calculation: The Internalized Rationality of Digital Intimacy and the Erosion of Social Flow
Jiang, J., Ji, C., Zhao, T., & Sthapit, E. (2026) · Behavioral Sciences · doi:10.3390/bs16091649
Devotional AI: digital companions and bad faith love
Krueger, J. W., & Osler, L. (2026) · Phenomenology and the Cognitive Sciences · doi:10.1007/s11097-026-10211-w
Iversen, S., Meyer, P., & Nielsen, A.-K. S. (2026) · Narrative Inquiry · doi:10.1075/ni.25164.ive
Nguyen, M. T., Thach, K. T. D., Nguyen, C. N. L., Nguyen, A. C., & Doan, H. K. (2026) · Human Behavior and Emerging Technologies · doi:10.1155/hbe2/8063779
Artificial Emotional Intelligence
Chen, A., & Ciriello, R. (2026) · Business & Information Systems Engineering · doi:10.1007/s12599-026-01026-9
Solving needs or hiding desires? A qualitative study of AI-Powered sex robots in disability services
Lam, A. Y. K., Fung, B. C. H., Yip, B. C. B., Yip, C. K., & Yau, M. K.-S. (2026) · Sex Education · doi:10.1080/14681811.2026.2754833
Practicing love with algorithms: How online communities narrate and make sense of human–AI intimacy
Liu, F., Hao, H., & Xu, K. (2026) · New Media & Society · doi:10.1177/14614448261496596
- Authors
- Bozdağ, A. A.
- Affiliations
- Bahçeşehir University (TR)
- Corresponding author
- Bozdağ, Ayşe Aslı
- ORCID
- Bozdağ, Ayşe Aslı
- Venue
- AI & SOCIETY
- Published
- 2024-12-04
- Volume
- 40
- Issue
- 4
- Pages
- 2285-2306
- ISSN
- 0951-5666 (ISSN-L)
- 1435-5655
- OpenAlex
- W4405021766
- Cited by
- 42
- References
- 186
- Citations by year
- 2026: 33 · 2025: 9
- FWCI
- 17.41
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- AI & Society (publishedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Decision Sciences › Information Systems and Management › Technology's Impact on Media
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Keywords
- attention economy, human-AI interaction, AI ethics, digital privacy, consent, blockchain, decentralized autonomous organizations, human-AI relationship
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