The DOI matches its Crossref record; 116 of the 116 references it cites were found in a registry or an index.
Artificial intelligence and mass personalization of communication content -An ethical and literacy perspective
Abstract
Artificial intelligence (AI) is (re)shaping communication and contributes to (commercial and informational) need satisfaction by means of mass personalization. However, the substantial personalization and targeting opportunities do not come without ethical challenges. Following an AI-for-social-good perspective, the authors systematically scrutinize the ethical challenges of deploying AI for mass personalization of communication content from a multi-stakeholder perspective. The conceptual analysis reveals interdependencies and tensions between ethical principles, which advocate the need of a basic understanding of AI inputs, functioning, agency, and outcomes. By this form of AI literacy, individuals could be empowered to interact with and treat mass-personalized content in a way that promotes individual and social good while preventing harm.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Even though AI education represents an urgent goal to be pursued in the context of combating disinformation, the delay in dissemination programmes stems from the ongoing debate on what constitutes relevant AI knowledge (Hermann, 2022;Kandlhofer & Steinbauer, 2018;Long & Magerko, 2020;Mikalef & Gupta, 2021):”
From Deepfakes, Democracy, and the Ethics of Synthetic Media: A Synthesis of the SOLARIS Project (2026) · cites this paper as Hermann, 2022
Citations
Cites
Rudin, C. (2019) · Nature Machine Intelligence · doi:10.1038/s42256-019-0048-x · Cited by 10,561
Barredo Arrieta, A., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., Garcia, S., Gil-Lopez, S., Molina, D., Benjamins, R., et al. (2020) · Information Fusion · doi:10.1016/j.inffus.2019.12.012 · Cited by 10,423
The global landscape of AI ethics guidelines
Jobin, A., Ienca, M., & Vayena, E. (2019) · Nature Machine Intelligence · doi:10.1038/s42256-019-0088-2 · Cited by 6,220 · cited 12×
“The solidarity principle is only featured in 6 out of 84 documents, although it refers to redistributing the benefits of AI to not jeopardize social cohesion (Jobin et al., 2019).”
BackgroundMethodInfluentialFloridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., Luetge, C., Madelin, R., Pagallo, U., Rossi, F., et al. (2018) · Minds and Machines · doi:10.1007/s11023-018-9482-5 · Cited by 4,774 · cited 17×
“Notably, personal privacy, accuracy, data protection, and quality are central to the non-maleficence principle (e.g. Floridi et al., 2018; Morley et al., 2020).”
BackgroundMethodInfluentialThe 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 4,567 · cited 6×
“Algorithms are the integral components of recommender systems (e.g. Lury and Day, 2019; Milano et al.,2020, 2021; Mittelstadt et al., 2016), that are the foundation of and/ or intensively used by news intermediaries and aggregators, social media, entertainment, and commercial (vendor) platforms…”
BackgroundInfluentialExposure to ideologically diverse news and opinion on Facebook
Bakshy, E., Messing, S., & Adamic, L. A. (2015) · Science · doi:10.1126/science.aaa1160 · Cited by 3,245
Kaplan, A., & Haenlein, M. (2019) · Business Horizons · doi:10.1016/j.bushor.2018.08.004 · Cited by 3,140
Filter Bubbles, Echo Chambers, and Online News Consumption
Flaxman, S., Goel, S., & Rao, J. M. (2016) · Public Opinion Quarterly · doi:10.1093/poq/nfw006 · Cited by 1,992
The Ethics of AI Ethics: An Evaluation of Guidelines
Hagendorff, T. (2020) · Minds and Machines · doi:10.1007/s11023-020-09517-8 · Cited by 1,911 · cited 5×
“To date, the AI ethics landscape is rather fragmented and entails recurring principles (Jobin et al., 2019) that are of high-order, deontological nature (Hagendorff, 2020).”
BackgroundInfluentialThe Ethics of AI Ethics -- An Evaluation of Guidelines
Hagendorff, T. (2019) · arXiv · doi:10.48550/arxiv.1903.03425 · Cited by 1,907 · cited 5×
“To date, the AI ethics landscape is rather fragmented and entails recurring principles (Jobin et al., 2019) that are of high-order, deontological nature (Hagendorff, 2020).”
BackgroundInfluential
Research works printed but not linked: 2
- Gunkel DJ, 2012, Communication+, 11, 1
- Thurman N, 2019, Digital Journalism, 7, 447
Cited by
Sorted by citations
Items 101–200 of 215
Manipulation, Algorithm Design, and the Multiple Dimensions of Autonomy
Sass, R. (2024) · Philosophy & Technology · doi:10.1007/s13347-024-00796-y · Cited by 6
Virtual emotions and Criminal Law
González-Tapia, M. I. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1260425 · Cited by 9
Human-Computer Interaction: Tracing Theoretical Origins, Paradigm Shifts, and Future Trends
向, 安., & 许, 可. (2023) · Global Journal of Media Studies · doi:10.26599/gjms.2023.9330055 · Cited by 5
von Gillern, S., Wright, W. T., & Winger, K. (2025) · Literacy Research and Instruction · doi:10.1080/19388071.2025.2557795 · Cited by 4
An integrative cognitive model for multisensory design: benefits and risks of AI-personalization
Bartoletti, R. L., & Corveleyn, X. (2025) · Frontiers in Computer Science · doi:10.3389/fcomp.2025.1652537 · Cited by 4
Predictive Modeling for Nanomaterials Using AI-Assisted Design of Experiments
Kishore, D. S. C., Lavanya, V., Selvakumar, P., Manjunath, T. C., Arun, M. R., & Rishma, F. S. F. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-2883-6.ch003 · Cited by 4
Bridging Barriers: Engaging Ethnic Minorities in Cardiovascular Research
Bacour, N., Grewal, S., Ploem, M. C., Suurmond, J., Klautz, R. J. M., & Grewal, N. (2025) · Healthcare · doi:10.3390/healthcare13111217 · Cited by 4
Ethical AI in Entrepreneurship
Sahoo, D. K., Hung, T. H., Kumar, A., & Kanwal, P. (2024) · Advances in business strategy and competitive advantage book series · doi:10.4018/979-8-3693-1495-1.ch007 · Cited by 4
Introduction: Understanding and Regulating AI-Powered Recommender Systems
Genovesi, S., Kaesling, K., & Robbins, S. (2023) · The International library of ethics, law and technology · doi:10.1007/978-3-031-34804-4_1 · Cited by 4
Algı Yönetimi ve Yapay Zekâ: Medya Manipülasyonunda Yeni Dönem
Çelik, N. (2026) · Iğdır üniversitesi sosyal bilimler dergisi · doi:10.54600/igdirsosbilder.1637527 · Cited by 3
Artificial Intelligence’s Impact on Personal Selling: A Profession in Danger?
Koukopoulos, A., Vrechopoulos, A., & Lazaris, C. (2024) · Lecture notes in information systems and organisation · doi:10.1007/978-3-031-65782-5_13 · Cited by 3
Razali, S. N. M. (2024) · International Conference on Artificial Intelligence and Data Sciences (AiDAS) · doi:10.1109/aidas63860.2024.10730665 · Cited by 6
Artificial Intelligence Usage in Communication Field: An Analysis on Communication Journals
KAVUT, S. (2024) · Akdeniz Üniversitesi İletişim Fakültesi Dergisi · doi:10.31123/akil.1541248 · Cited by 3
Baptista, R., de Almeida, C. V., & Belim, C. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-0725-1.ch004 · Cited by 2
Li, R., Liu, Y., & Gao, N. (2025) · International Conference on Distance Education and Learning (ICDEL) · doi:10.1109/icdel65868.2025.11193492 · Cited by 2
AI-driven active sourcing in recruitment: addressing contestability in automated hiring systems
Hadžić, B., Brandner, L. T., Weber, T., & Rätsch, M. (2025) · Frontiers in Computer Science · doi:10.3389/fcomp.2025.1629522 · Cited by 6
Illusion or reality: Ethical navigation in times of AI-enhanced visual communication
Hussain, S. A., Georges, H., & Askar, N. A. R. (2025) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2025.102228 · Cited by 2
AI as a creative partner in fashion textile design: pedagogical case study of AI literacy practices
Jung, D., & Suh, S. (2026) · International Journal of Fashion Design Technology and Education · doi:10.1080/17543266.2026.2630264 · Cited by 2
Emon, M. M. H., & Ahmed, M. Z. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-3461-5.ch005 · Cited by 2
Misinformation Processing Model: How Users Process Misinformation When Using Recommender Algorithms
Shin, D. (2024) · Springer eBooks · doi:10.1007/978-3-031-52569-8_5 · Cited by 2
Generative artificial intelligence and the world Postman warned us about
Walters, H. (2024) · Explorations in Media Ecology · doi:10.1386/eme_00200_1 · Cited by 2
Fake News: Exploring the Backdrop
Kalpokas, I., & Kalpokienė, J. (2022) · SpringerBriefs in political science · doi:10.1007/978-3-030-93802-4_2 · Cited by 2
Shooting for the stars: What are the topics of reviews that affect star ratings?
Ahmad, S. N., & Richard, M. (2023) · Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration · doi:10.1002/cjas.1719 · Cited by 3
Kumar, U., Kaswan, M. S., & Kumar, R. (2025) · Wiley eBooks · doi:10.1002/9781394302734.ch2 · Cited by 2
Eftimov, D. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4762086 · Cited by 2
Reviving the Overlooked: Strategies for Reclaiming the Forgotten Part of Marketing
Al-Hadrawi, B. K., Kaushik, M., & Reniati, R. (2024) · IJBE (Integrated Journal of Business and Economics) · doi:10.33019/ijbe.v8i2.914 · Cited by 1
Wahpiyudin, C. A. B., Muhammadan, S. A., Amalia, R., Chrisanta, A., & Taryana, A. (2025) · Journal of Consumer Sciences · doi:10.29244/jcs.10.1.27-58 · Cited by 2
New Media Content Creation and Recommendation Based on Artificial Intelligence
Wang, L., & Jiang, Y. (2025) · Lecture notes in electrical engineering · doi:10.1007/978-981-96-2798-1_13 · Cited by 1
Yapay Zekâ ve İnsan İş birliği: Çatışma mı, İş birliği mi?
Gezgin, A. Y. (2025) · Özgür Yayınları eBooks · doi:10.58830/ozgur.pub686.c2892 · Cited by 1
New/s Gatekeepers: The Impact of Social Media Algorithms on Arab TV News Coverage
Anter, A., & Ibrahim, N. (2025) · The International Journal of Press/Politics · doi:10.1177/19401612251370924 · Cited by 1
Industry 5.0 and the Future of Supply Chains
Behdani, B. (2025) · Springer eBooks · doi:10.1007/978-3-031-90210-9_14 · Cited by 1
Frampton, J. R., & Smith, W. R. (2025) · Journal of Applied Communication Research · doi:10.1080/00909882.2025.2602653 · Cited by 1
Humanizing Industry 5.0: Creating Human-centric Experiences
Muttungal, P. V., George, J. P., & Davidson, B. G. J. (2026) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83608-826-420261001 · Cited by 1
Bekavac, L. J. L., Strecker, J. R., García, K., Mayer, S., & Tamò‐Larrieux, A. (2026) · ACM Transactions on Recommender Systems · doi:10.1145/3795516 · Cited by 1
An AI-driven framework for sustainable cultural communication: mechanisms, innovations, and synergy
Zhu, B., Yu, Y., & Xu, R. (2026) · Frontiers in Communication · doi:10.3389/fcomm.2026.1745698 · Cited by 1
The Spread of Deepfakes in Digital Networks
Tonello, T., Dimitrova, A., Fenga, L., Biazzo, L., & Jacona, A. (2026) · doi:10.18690/um.feri.2.2026.2 · Cited by 1
Şenyapar, H. N. D. (2025) · Balkan Journal of Electrical and Computer Engineering · doi:10.17694/bajece.1712706 · Cited by 1
Liu, H., Bhatia, P., Vincent, N., & Chilana, P. K. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791001 · Cited by 5
Rethinking the principles of the public relations profession: Perspectives from four countries
Holtzhausen, L., Degenaar, A., Jakučionienė, L., & Cloete, J. (2026) · Public Relations Review · doi:10.1016/j.pubrev.2026.102702 · Cited by 1
Generative Artificial Intelligence in Marketing Communication: A Stakeholder Effects Model
Eisend, M., & Hermann, E. (2026) · Journal of Advertising · doi:10.1080/00913367.2026.2686658 · Cited by 1
Self-citationHuman or Humane? Users’ Pluralist Perspectives on the Ethical Principles and Risks of Digital Humans
Willemsen, L. M., Withuis, I., Smit, S., & van Hooijdonk, C. M. J. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-26717-7_5 · Cited by 1
اتجاه دارسی الإعلام فی صعید مصر نحو استخدام تقنیات الذکاء الاصطناعی بالعمل الإعلامی
فؤاد, آ. ع. م. (2021) · مجلة البحوث الإعلامیة · doi:10.21608/jsb.2021.209872 · Cited by 1
Będkowski, M., Brdulak, J., Fazlagić, J., Janiszewski, M., Jemielniak, D., Kornowska, L., Piekarski, C., Przegalińska, A., Rabiega-Wiśniewska, J., Stęchły, J., et al. (2022) · Instytut Badań Edukacyjnych eBooks · doi:10.24131/9788367385107 · Cited by 2
Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring
Liu, J., Symons, C. T., & Vatsavai, R. R. (2023) · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · doi:10.1109/ictai59109.2023.00044 · Cited by 1
The Virtual and Realistic Journey of Digital Human: An Assemblage of Urban Communication
Yin, Y. (2024) · Communications in Humanities Research · doi:10.54254/2753-7064/26/20231999 · Cited by 1
Obendiek, A. S. (2024) · New Media & Society · doi:10.1177/14614448241229406 · Cited by 11
Ma, M. (2023) · Academic Journal of Humanities & Social Sciences · doi:10.25236/ajhss.2023.061524 · Cited by 1
“If it Can Be Done, it Will Be Done:” Ai Ethics and Public Relations ImplicationsPreprint
Bowen, S. A. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4727951 · Cited by 1
The Authenticity Paradox of Political Ai Chatbots on Voters’ Candidate PerceptionsPreprint
Lee, Y.-H., & Yuan, C. W. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.5074078 · Cited by 1
Deepfakes, Democracy, and the Ethics of Synthetic Media: A Synthesis of the SOLARIS Project
(2026) · University of Maribor Press · doi:10.18690/um.feri.2.2026
Suparno, S., Purwana, D., Wibowo, A., & Syafa, A. (2023) · International Journal of Education and Practice · doi:10.18488/61.v11i4.3511
Terrell, K. L., de Oliveira, L. C., dos Santos, A. E., Beatty, J., Willging, T. M., Hoyle, S., & Gui, J. (2023) · Advances in educational technologies and instructional design book series · doi:10.4018/978-1-6684-8761-7.ch016
تحديات تطبيقات الذكاء الاصطناعى فى الاعلام : مقاربه أخلاقية
فاروق, ه. (2023) · Al-Maǧallah Al-Miṣriyyaẗ Li-Buḥūṯ Al-Rāʼī Al-ʿām · doi:10.21608/joa.2023.334084
Hajarian, M., Dı́az, P., & Aedo, I. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4764388
Misinformation and Diversity: Nudging Away from Misinformation Nudging Toward Diversity
Shin, D. (2024) · Springer eBooks · doi:10.1007/978-3-031-52569-8_6
Misinformation, Paradox, and Heuristics: An Algorithmic Nudge to Counter Misinformation
Shin, D. (2024) · Springer eBooks · doi:10.1007/978-3-031-52569-8_4
Artificial Intelligence’s Staging
Lemos, A. (2024) · Sociétés · doi:10.3917/soc.163.0025
Teacher and Administrator Perceptions of Using Artificial Intelligence in Education
Naeem, M., Siraj, M., & Farooq, S. (2023) · Journal of Education & Social Sciences · doi:10.20547/jess1122311205
Transformations to and Implications for the Human Rights Concept in the Internet Age
Padmanabhan, A. S., & Sapna, S. (2024) · Advances in human and social aspects of technology book series · doi:10.4018/979-8-3693-1127-1.ch015
Architecting Next-Generation Tourism Recommendation Systems: A Knowledge Graph Approach
Lei, X. (2024) · International Journal of Academic Research in Business and Social Sciences · doi:10.6007/ijarbss/v14-i7/22079
The usage of total knowledge by entrepreneurs in business decision-making
Saldaña‐Larrondo, D. E., Crespo, V. G., & Grande, A. A. (2024) · European Public & Social Innovation Review · doi:10.31637/epsir-2024-1008
Tan, X. W., Wu, D., & Li, W. (2024) · International Conference on Software, Systems and Information Technology (SSITCON) · doi:10.1109/ssitcon62437.2024.10796219
Tolnaiová, S. G. (2024) · Media & Marketing Identity · doi:10.34135/mmidentity-2024-20
Boyles, J. L., & Adonu, R. M. (2025) · News Research Journal · doi:10.1177/30497841251317297
Human-Centric AI in Islamic Finance
Kismawadi, E. R. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-8009-3.ch015
Online Gender-Based Violence and the Regulation of Social Platforms
de Miranda, J. M. S. (2025) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83662-594-020251009
Artificial Intelligence and Writing: Trends and Future Directions in the Social Sciences
Castillo, V. S., Zapata, R. E., & Gamboa, A. J. P. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-031-90921-4_68 · Cited by 2
Lecciones aprendidas en los diez años de aplicación de la Inteligencia Artificial al periodismo
Ruiz, M. J. U., Verdú, F. J. M., & Cantos, C. L. (2025) · Cuadernos del Audiovisual | CAA · doi:10.62269/cavcaa.57
Victor-Nyebuchi, M. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5385173 · Cited by 5
Artificial Intelligence in Business Management
Gencer, Z. T. (2025) · doi:10.1002/9781394302581.ch15
The Implications of Digital Media on the System of Moral Values
Muhaysin, A. A. A. A., & Hassan, A. (2025) · Studies in systems, decision and control · doi:10.1007/978-3-031-87550-2_127
Choe, M., Dong, J., Bosch, E., Álvarez, I., Oehl, M., Jallais, C., Alsaid, A., & Jeon, M. (2025) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/10711813251369800
Rufino, L. J. G. C., Benevides, M. P., Benevides, K. D. G., Santos, D. F. A. D., Pisciotta, A., Richetto, M. R. D. S., de Oliveira, M. R., & de Moura, R. A. (2025) · Aracê. · doi:10.56238/arev7n9-036
Critical, Qualitative and Situated: Pedagogical Initiatives in a Datafied Society
Pronzato, R., & Kubrusly, A. (2025) · Societies · doi:10.3390/soc15090263
Hyper-Personalised Marketing with Generative AI and Predictive Models
Pires, P. B., Santos, J. D., & Torres, A. I. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-2502-6.ch004 · Cited by 1
Hyper-Personalization in E-commerce Through AI and Big Data
Chakranarayan, V. (2025) · Studies in systems, decision and control · doi:10.1007/978-3-031-96530-2_12 · Cited by 7
Artificial Intelligence in PR: Ethical Implications and the Importance of Authenticity
Alserhan, F. A. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-032-09562-6_19
Personalisiertes Up- und Cross-Selling mit KI
Altendorf, M., & Gollmer, I. (2025) · Springer eBooks · doi:10.1007/978-3-658-48463-7_20
Attitude measurement scales: Overview and contemporary developments
Brown, T., Isbel, S. T., Robinson, L., Scanlan, J. N., & Parsons, D. N. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-26629-4.00195-7
Adaptive AI-Powered Education for Embedding Global Citizenship and SDGs in Elementary Classrooms
Inggriyani, F., & Supriyadi, E. (2024) · Literate International Journal of Social Science and Humanities · doi:10.52005/literate.v3i1.23
Tolnaiová, S. G. (2025) · Media & Marketing Identity · doi:10.34135/mmidentity-2025-12
Tolnaiová, S. G. (2025) · Media & Marketing Identity · doi:10.34135/mmidentity-2025-13
Development and Validation of an AI Literacy Diagnostic Tool for Middle School Students
Chung, K., Kim, S., Lee, J., Lee, C., Noh, H., Kwon, Y., & Kim, H. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2595309
Artificial Intelligence and its Implications for Media Sustainability in Romania
Stănescu, G. C. (2026) · CSR, sustainability, ethics & governance · doi:10.1007/978-3-032-00086-6_5
Responsible AI in Organizational Decision-Making: A Conceptual Framework
Salamzadeh, Y. (2025) · Contributions to management science · doi:10.1007/978-3-032-02526-5_4
Autonomous AI Agents for Personalized News Curation Without Bias Reinforcement
Khanna, A., Negi, D., Sah, A., Rawat, S., & Maheshwari, P. (2025) · International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) · doi:10.1109/iccike67021.2025.11318308
Robrecht, A. S., Kowalski, C., & Kopp, S. (2026) · Frontiers in Computer Science · doi:10.3389/fcomp.2026.1558674 · Cited by 1
Transforming Consumer Experiences
Dubosson, M., & Fragnière, E. (2025) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83549-534-620251003
Jasim, K. M., Puthineedi, V. B., & Jha, A. K. (2026) · Information & Management · doi:10.1016/j.im.2026.104347 · Cited by 6
Tekeli, E. S. (2026) · Abant Sosyal Bilimler Dergisi · doi:10.11616/asbi.1824109
Artificial Intelligence’s Staging
Lemos, A. (2024) · Sociétés · doi:10.3917/e.soc.163.0025
Hameed, H. Y., & Khudhair, B. W. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-15784-3_40
Artificial Intelligence in Electronic Journalism: Innovation Horizons and Ethical Challenges
Mazahreh, M. H. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-15784-3_38
Exploring attribution bias in LLMs: Social influences and prompt-based mitigation
Jiang, L., Cao, J., Zhu, G., & Wang, Y. (2026) · Technology in Society · doi:10.1016/j.techsoc.2026.103361
A Case for Community: AI Access and Innovation in Mississippi
Myburgh, B., Sephus, N. H., Chatman, K., Collins, D., Scott, M., Jenkins, T., & Buseck, B. (2026) · Journal of Black Excellence in Engineering Science & Technology · doi:10.65465/ysnj5619
Mazid-Ul-Haque, M., & Emon, M. M. H. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-1285-9.ch012
Li, M. (2024) · Unveiling seven continents yearbook journal · doi:10.65326/u7y566819
Designing AI Literacy for Primary Education
Lekota, T., & Ajani, O. A. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-4893-3.ch008
Metadata
- Authors
- Hermann, E.
- Affiliations
- Leibniz Institute for High Performance Microelectronics (DE)
- Corresponding author
- Hermann, Erik
- ORCID
- Hermann, Erik
- Venue
- New Media & Society
- Publisher
- SAGE Publications
- Published
- 2021-06-18
- Volume
- 24
- Issue
- 5
- Pages
- 1258-1277
- ISSN
- 1461-4448 (ISSN-L)
- 1461-7315
- OpenAlex
- W3174208514
- Cited by
- 214
- References
- 116
- Citations by year
- 2026: 38 · 2025: 75 · 2024: 56 · 2023: 29 · 2022: 13 · 2021: 3
- FWCI
- 31.57
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- New Media & Society (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Social Sciences › Communication › Technology's Impact on Media
- Social Sciences › Law › Digitalization, Law, and Regulation
- Keywords
- artificial intelligence, mass personalization, communication content, AI ethics, AI literacy, AI for social good, multi-stakeholder perspectives, targeted communication, need satisfaction, agency, harm prevention
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review