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Bilim İletişimi ve Yapay Zekâ: Kavramsal Dönüşümler ve Tematik Eğilimler Çerçevesinde Bir Araştırma Gündemi

Yıl 2026, Cilt: 26 Sayı: 1, 301 - 322, 27.03.2026
https://doi.org/10.11616/asbi.1824136
https://izlik.org/JA58TP36AS

Öz

Bu çalışma, yapay zekânın bilim iletişimi literatüründe nasıl kavramsallaştırıldığını ve hangi tematik yönelimler etrafında tartışıldığını incelemektedir. Bu doğrultuda çalışmada, Web of Science veri tabanında "iletişim" konu kategorisinde yer alan, Q1 ve Q2 çeyreklik dilimlerinde sınıflandırılmış ve kapsamı bilim iletişimi olan Science Communication, Journal of Science Communication ve Public Understanding of Science isimli üç dergide yayımlanmış yapay zekâ temalı çalışmalar, tematik analiz yoluyla incelenmiştir. Analiz sonucunda, yapay zekânın sosyoteknik bir fenomen ve iletişimsel süreçlerini dönüştüren bir araç olarak, güven, risk ve etik bağlamlarda kavramsallaştırıldığı; yapay zekânın toplumsal algı ve kabul gibi süreçlerdeki konumunun medya çerçeveleri ve temsilleri üzerinden ele alındığı; yapay zekâ teknolojilerinin bilim iletişimine entegrasyonunun dijital bilim iletişimi araştırmaları etrafında şekillendiği görülmüştür. Ayrıca, bulgular doğrultusunda elde edilen araştırma gündemi üzerinden gelecek araştırmalara yönelik öneriler sunulmuştur.

Kaynakça

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Science Communication and Artificial Intelligence: A Research Agenda within the Framework of Conceptual Transformations and Thematic Trends

Yıl 2026, Cilt: 26 Sayı: 1, 301 - 322, 27.03.2026
https://doi.org/10.11616/asbi.1824136
https://izlik.org/JA58TP36AS

Öz

This study explores how artificial intelligence (AI) is conceptualized and thematically discussed in science communication research. Using thematic analysis, AI-related articles published in Science Communication, Journal of Science Communication, and Public Understanding of Science—leading journals ranked in Q1–Q2 under the “Communication” category in the Web of Science—were examined. The findings show that AI is viewed both as a sociotechnical phenomenon and as a tool transforming communication processes, especially regarding trust, risk, and ethics. The role of AI in shaping public perception and acceptance is analyzed through media framings and representations, while its integration into science communication is positioned within digital science communication research. Besides the study offers recommendations for future researchs based on the research agenda in line with the findings.

Kaynakça

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  • Greussing, E., Guenther, L., Baram-Tsabari, A., Dabran-Zivan, S., Jonas, E., Klein-Avraham, I., Taddicken, M., Agergaard, T. E., Beets, B., Brossard, D., Chakraborty, A., Fage-Butler, A., Huang, C.-J., Kankaria, S., Lo, Y.-Y., Nielsen, K. H., Riedlinger, M., & Song, H. (2025b), The Perception and Use of Generative AI for Science-Related Information Search: Insights From A Cross-National Study. Public Understanding of Science, 34(5), s. 599-615. https://doi.org/10.1177/09636625241308493
  • Guenther, L., Kunert, J. and Goodwin, B. (2025), “Away From This Duty of Chronicler and Towards the Unicorn”: How German Science Journalists Assess Their Future with (generative) Artificial Intelligence. JCOM, 24(02), A06. https://doi.org/10.22323/2.24020206
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  • Hara, N., Kim, E., Akter, S. and Miyazaki, K. (2025), Exploring the Dynamics of Interaction About Generative Artificial Intelligence Between Experts and the Public on Social Media. JCOM, 24(01), A02. https://doi.org/10.22323/2.24010202
  • Hendriks, F., David, B-B. Y., Banse, L., Fick, J., Greussing, E. Klein-Avraham, I., Rakedzon, T., Taddicken, M., & Baram-Tsabari, A. (2025), Generative AI in Science Communication: Fostering Scientists’ Good Working Habits for Ethical and Effective Use. Science Communication, 0(0). https://doi.org/10.1177/10755470251343486
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  • Kessler, S. H., Mahl, D., Schäfer, M. S. and Volk, S. C. (2025), All Eyez on AI: A Roadmap for Science Communication Research in the Age of Artificial Intelligence. Journal of Science Communication, 24(02), Y01. https://doi.org/10.22323/2.24020401
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  • Li, W., Xu, S., Zheng, X., & Sun, R. (2024), Bridging the Knowledge Gap in Artificial Intelligence: The Roles of Social Media Exposure and Information Elaboration. Science Communication, 46(4), s. 399-430. https://doi.org/10.1177/10755470241232352
  • Li, Y. & Guo, M. (2021), Scientific Literacy in Communicating Science and Socio-Scientific Issues: Prospects and Challenges. Frontiers in Psychology, 12, s. 1-15.
  • Liao, W., Weisman, W., & Thakur, A. (2024), On the Motivations to Seek Information From Artificial Intelligence Agents Versus Humans: A Risk Information Seeking and Processing Perspective. Science Communication, 46(4), s. 458-486. https://doi.org/10.1177/10755470241232993
  • Lyons, S. & Lidberg, J. (2024), When the Public Does not Trust Science: What can Journalists Do About It? Australian Journalism Review, 46(2), s. 249-269
  • Metag, J., Wintterlin, F., Klinger, K. (2023), Editorial: Science Communication in the Digital Age—New Actors, Environments, and Practices. Media and Communication, 11(1), s. 212-216.
  • Momme, M. J., Hendriks, F., Enzingmüller, C. (2025), From Participation to Trust? Understanding Trust Dynamics in Participatory Science Communication. Science Communication, OnlineFirst. https://doi.org/10.1177/10755470251333399
  • Oh, J., Sudarshan, S., Jin, F., Nah, S. & Yu, N. (2020), How 360-Degree Video Influences Content Perceptions and Environmental Behavior: The Moderating Effect of Environmental Self-Efficacy. Science Communication, 42(4), https://doi.org/10.1177/1075547020932174
  • Ou, M., Ho, S. S., & Wijaya, S. A. (2025), Harnessing AI to Address Misinformation on Cultivated Meat: The Impact of Chatbot Expertise and Correction Sidedness. Science Communication, 0(0). https://doi.org/10.1177/10755470251315097
  • Palm, R., Kingsland, J. T., & Bolsen, T. (2025), Framing Affects Support for the Development of Artificial Intelligence in the United States. Science Communication, 0(0). https://doi.org/10.1177/10755470251317172
  • Peng, Y. (2020), The Ideological Divide in Public Perceptions of Self-Driving Cars. Public Understanding of Science, 29(4), s. 436-451. https://doi.org/10.1177/0963662520917339
  • Peng, Y. (2022), The Role of Ideological Dimensions in Shaping Acceptance of Facial Recognition Technology and Reactions to Algorithm Bias. Public Understanding of Science, 32(2), s. 190-207. https://doi.org/10.1177/09636625221113131
  • Peng, B., & Li, D. (2026), Artificial intelligence in Digital Media, Humanities, and Information Science: A Multidimensional Analysis of Research Trends and User Perceptions. Humanities and Social Sciences Communications, 13(76). https://doi.org/10.1057/s41599-025-06372-9
  • Peter, J. & Kühne, R. (2018), The New Frontier in Communication Research: Why We Should Study Social Robots. Media and Communication, 6(6), s. 73-76.
  • QUEST. (2025), Quality and Effectiveness in Science and Technology Communication https://questproject.eu/ (Erişim Tarihi: 15.10.2025).
  • Richter, V., Katzenbach, C. and Zeng, J. (2025), Negotiating AI(s) Futures: Competing Imaginaries of AI by Stakeholders in the US, China, and Germany. JCOM, 24(02), A08. https://doi.org/10.22323/2.24020208
  • Roedema, T., Broerse, J. E. W. and Kupper, J. F. H. (2021), “Who is Going to Believe Me, If I Say ‘I'm a Researcher?’” — Scientists' Role Repertoires in Online Public Engagement JCOM, 20(03), A03. https://doi.org/10.22323/2.20030203
  • Salman, H. A., Ahmad, M. A., Ibrahim, R., & Mahmood, J. (2025), Systematic Analysis of Generative AI Tools Integration in Academic Research and Peer Review. Online Journal of Communication and Media Technologies, 15(1), e202502. https://doi.org/10.30935/ojcmt/15832
  • Samuel, G., Diedericks, H., & Derrick, G. (2020), Population Health AI Researchers’ Perceptions of the Public Portrayal of AI: A Pilot Study. Public Understanding of Science, 30(2), s. 196-211. https://doi.org/10.1177/0963662520965490
  • Sci-Co+. (2025), High Professional Skills for Advanced Scientific Communication. https://www.scicoplus.org/ (Erişim Tarihi: 20.10.2025).
  • Schäfer, M. S., Kremer, B., Mede, N. G. and Fischer, L. (2024), Trust in Science, Trust in ChatGPT? How Germans Think About Generative AI as a Source in Science Communication. JCOM, 23(09), A04. https://doi.org/10.22323/2.23090204
  • Seyitoğlu, F., & Ivanov, S. (2024), Robots and Emotional Intelligence: A Thematic Analysis. Technology in Society, 77, https://doi.org/10.1016/j.techsoc.2024.102512
  • Sieber, R., Brandusescu, A., Adu-Daako, A., & Sangiambut, S. (2024), Who are the Publics Engaging in AI? Public Understanding of Science, 33(5), s. 634-653. https://doi.org/10.1177/09636625231219853
  • Silva Luna, D., Broer, I., Bilandzic, H., Taddicken, M., Schuller, B. W., & Bürger, M. (2025), Quality in Science Communication with Communicative Artificial İntelligence: A Principle-Based Framework. Public Understanding of Science, 0(0). https://doi.org/10.1177/09636625251328854
  • Taddicken, M. and Krämer, N. (2021), Public Online Engagement with Science Information: on the Road to a Theoretical Framework and a Future Research Agenda JCOM, 20(03), A05. https://doi.org/10.22323/2.20030205
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  • Većkalov, B., van Stekelenburg, A., van Harreveld, F., & Rutjens, B. T. (2023), Who Is Skeptical About Scientific Innovation? Examining Worldview Predictors of Artificial Intelligence, Nanotechnology, and Human Gene Editing Attitudes. Science Communication, 45(3), s. 337-366. https://doi.org/10.1177/10755470231184203
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  • Volk, S. C., Schäfer, M. S., Lombardi, D., Mahl, D., & Yan, X. (2024), How Generative Artificial Intelligence Portrays Science: Interviewing Chatgpt From The Perspective of Different Audience Segments. Public Understanding of Science, 34(2), 132-153. https://doi.org/10.1177/09636625241268910
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  • Wang, J., & Peng, L. (2023), Striking an Emotional Chord: Effects of Emotional Appeals and Chatbot Anthropomorphism on Persuasive Science Communication. Science Communication, 45(4), s. 485-511. https://doi.org/10.1177/10755470231194583
  • Weitkamp, E., Milani, E., Ridgway, A. and Wilkinson, C. (2021), Exploring the Digital Media Ecology: Insights From a Study of Healthy Diets and Climate Change Communication on Digital and Social Media. JCOM, 20(03), A02. https://doi.org/10.22323/2.20030202
  • Wen, C.-H. R. and Chen, Y.-N. K. (2024), Understanding Public Perceptions of Revolutionary Technology: The Role of Political Ideology, Knowledge, and News Consumption. JCOM, 23(05), A07. https://doi.org/10.22323/2.23050207
  • Westerman, D., Edwards, A. P., Edwards, C., Luo, Z., & Spence, P. R. (2020), I-It, I-Thou, I-robot: The Perceived Humanness of AI in Human-Machine Communication. Communication Studies, 71(3), s. 393–408. https://doi.org/10.1080/10510974.2020.1749683
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  • Zhu, Y., & Chu, J. (2025), Should We Express Gratitude in Human–AI İnteraction: The Online Public’s Moral Stance Toward Artificial Intelligence Assistants in China. Public Understanding of Science, 0(0). https://doi.org/10.1177/09636625251314337
Toplam 87 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular İletişim Çalışmaları
Bölüm Araştırma Makalesi
Yazarlar

Elif Karakoç Keskin 0000-0002-2831-2247

Gönderilme Tarihi 15 Kasım 2025
Kabul Tarihi 4 Mart 2026
Yayımlanma Tarihi 27 Mart 2026
DOI https://doi.org/10.11616/asbi.1824136
IZ https://izlik.org/JA58TP36AS
Yayımlandığı Sayı Yıl 2026 Cilt: 26 Sayı: 1

Kaynak Göster

APA Karakoç Keskin, E. (2026). Bilim İletişimi ve Yapay Zekâ: Kavramsal Dönüşümler ve Tematik Eğilimler Çerçevesinde Bir Araştırma Gündemi. Abant Sosyal Bilimler Dergisi, 26(1), 301-322. https://doi.org/10.11616/asbi.1824136
AMA 1.Karakoç Keskin E. Bilim İletişimi ve Yapay Zekâ: Kavramsal Dönüşümler ve Tematik Eğilimler Çerçevesinde Bir Araştırma Gündemi. ASBİ. 2026;26(1):301-322. doi:10.11616/asbi.1824136
Chicago Karakoç Keskin, Elif. 2026. “Bilim İletişimi ve Yapay Zekâ: Kavramsal Dönüşümler ve Tematik Eğilimler Çerçevesinde Bir Araştırma Gündemi”. Abant Sosyal Bilimler Dergisi 26 (1): 301-22. https://doi.org/10.11616/asbi.1824136.
EndNote Karakoç Keskin E (01 Mart 2026) Bilim İletişimi ve Yapay Zekâ: Kavramsal Dönüşümler ve Tematik Eğilimler Çerçevesinde Bir Araştırma Gündemi. Abant Sosyal Bilimler Dergisi 26 1 301–322.
IEEE [1]E. Karakoç Keskin, “Bilim İletişimi ve Yapay Zekâ: Kavramsal Dönüşümler ve Tematik Eğilimler Çerçevesinde Bir Araştırma Gündemi”, ASBİ, c. 26, sy 1, ss. 301–322, Mar. 2026, doi: 10.11616/asbi.1824136.
ISNAD Karakoç Keskin, Elif. “Bilim İletişimi ve Yapay Zekâ: Kavramsal Dönüşümler ve Tematik Eğilimler Çerçevesinde Bir Araştırma Gündemi”. Abant Sosyal Bilimler Dergisi 26/1 (01 Mart 2026): 301-322. https://doi.org/10.11616/asbi.1824136.
JAMA 1.Karakoç Keskin E. Bilim İletişimi ve Yapay Zekâ: Kavramsal Dönüşümler ve Tematik Eğilimler Çerçevesinde Bir Araştırma Gündemi. ASBİ. 2026;26:301–322.
MLA Karakoç Keskin, Elif. “Bilim İletişimi ve Yapay Zekâ: Kavramsal Dönüşümler ve Tematik Eğilimler Çerçevesinde Bir Araştırma Gündemi”. Abant Sosyal Bilimler Dergisi, c. 26, sy 1, Mart 2026, ss. 301-22, doi:10.11616/asbi.1824136.
Vancouver 1.Elif Karakoç Keskin. Bilim İletişimi ve Yapay Zekâ: Kavramsal Dönüşümler ve Tematik Eğilimler Çerçevesinde Bir Araştırma Gündemi. ASBİ. 01 Mart 2026;26(1):301-22. doi:10.11616/asbi.1824136