Global news media coverage of artificial intelligence (AI): A comparative analysis of frames, sentiments, and trends across 12 countries
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Chinese news media tend to place AI in the framework of national scientific and technological development and education reform, emphasizing PIPL and how the government-driven AI strategy balances data security and technological innovation.
“In contrast, Chinese news media tend to place AI in the framework of national scientific and technological development and education reform, emphasizing the Personal Information Protection Law (PIPL) and how the government-driven AI strategy balances data security and technological innovation (Ittefaq et al., 2025).”
From A Comparative Analysis of AI Privacy Concerns in Higher Education: News Coverage in China and Western Countries (2025) · cites this paper as Ittefaq et al., 2025
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Jiang, X., Wang, Y., Li, M., & Pu, X. (2026) · Telematics and Informatics · doi:10.1016/j.tele.2026.102423
Smirnova, O. V., Сергеевич, И. Д., & Yunhui, J. (2026) · Moscow University Journalism Bulletin · doi:10.55959/msu.vestnik.journ.2.2026.116135
Syharat, C. M., Zaghi, A. E., & Motaref, S. (2026) · Frontiers in Research Metrics and Analytics · doi:10.3389/frma.2026.1830196
AI as “Artificial Immigrants”? A Content Analysis of the U.S. News Media Framing of AI Threats
Pan, Y., Herrera, S., & Wang, Y. (2026) · Journal of Broadcasting & Electronic Media · doi:10.1080/08838151.2026.2692543
Türkçe Çevrimiçi Medyada Yapay Zekâ Haberleri: 2020–2025 Arasında Değişim
Atabek, G. Ş., & Yardibi, F. (2026) · Galatasaray Üniversitesi İleti-ş-im Dergisi · doi:10.16878/gsuilet.1903085
Ibáñez, D. B., Hess, A., Palomino-Flores, P., & Castaño, L. C. (2026) · Cogent Arts and Humanities · doi:10.1080/23311983.2026.2665856
Hahm, H., Chang, S., & Suh, J. (2026) · Systems · doi:10.3390/systems14070847
New media and genetic revolution: AI in DNA testing websites Ancestry and MyHeritage
Sajna, R. (2026) · Journal of Modern Science · doi:10.13166/jms/225662
“One of the latest publications presents the results of a comparative analysis in 12 countries, showing global news media coverage of AI (Ittefaq et al., 2025).”
Cheng, C., Dai, J., & Yan, L. (2026) · Risk Analysis · doi:10.1111/risa.70324
“Following prior media-framing studies of AI news coverage that use broad AI-related keyword strategies (Ittefaq et al. 2025 ; Nguyen and Hekman 2022 ; Watson and Wozniak-O’Connor 2025 ), the search strategy employed seven AI-related keyword groups: “artificial intelligence,” “machine learning,”…”
Beyond Aggregate Sentiment: Machine Learning-Driven Discourse Indicators for AI News at Scale
Topal, O., Novalija, I., Costa, J. P., & Roman, D. (2026) · AI · doi:10.3390/ai7080307
Liu, S. (2026) · Online Media and Global Communication · doi:10.1515/omgc-2026-0021
“A recent exception is the comparative study by Ittefaq et al. (2025), which analyzes frames and sentiments of AI-related news coverage across newspapers from the Global North and Global South.”
Saeed, M. U. (2026) · Journalism and Media · doi:10.3390/journalmedia7030175
“Any minor classification discrepancies were subsequently resolved through a peer-checking consensus discussion (Ittefaq et al., 2025; O’Connor & Joffe, 2020).”
How the Pan-Arab Press Frames Journalism’s AI Future
Alsridi, H. (2026) · Advances in Journalism and Communication · doi:10.4236/ajc.2026.143010
Jamil, S., Salawu, A., Гладкова, А. А., & Вартанова, Е. Л. (2026) · Journal of Multicultural Discourses · doi:10.1080/17447143.2026.2725925
Odriozola-Chéné, J., Arozamena, R. P., & Díaz-Noci, J. (2026) · Social Sciences · doi:10.3390/socsci15090610
Perceptions of artificial intelligence bias and gender inclusivity: toward a gendered divergence
Au, A. (2026) · Information Communication & Society · doi:10.1080/1369118x.2026.2737402
Framing Artificial Intelligence in Newspapers
Abukamel, A., & Ragnedda, M. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-9190-8.ch003
Fear, Blame, and Deservingness: The Moral Economy of AI-Labor Anxiety on Reddit
Iordache, A., Rughiniş, C., Rughinis, R. V., & Țurcanu, D. (2026) · Social Sciences · doi:10.3390/socsci15100663
Awais, M. (2026) · Crime Prevention and Community Safety · doi:10.1057/s41300-026-00257-y
Applicants’ perceptions of AI in personnel selection across Chile, Germany, and India
Zahs, D., Moritz, J. M., Schmodde, L., Wehner, M., Kulkarni, S., & Chacon, A. (2026) · The International Journal of Human Resource Management · doi:10.1080/09585192.2026.2750359
Wang, C. (2026) · Media International Australia · doi:10.1177/1329878x261499102
Hussain, H. S., Riasat, A., & Tariq, A. (2026) · The regional tribune. · doi:10.55737/trt/v-ix.433
- Authors
- Ittefaq, M., Zain, A., Arif, R., Ala-Uddin, M., Ahmad, T., & Iqbal, A.
- Affiliations
- James Madison University (US)
- Arizona State University (US)
- Towson University (US)
- Saint Mary's College (US)
- University of Maryland, College Park (US)
- University of Kansas (US)
- Corresponding author
- Ittefaq, Muhammad
- Arif, Rauf
- Venue
- Telematics and Informatics
- Publisher
- Elsevier BV
- Published
- 2025-01
- Volume
- 96
- Pages
- 102223
- ISSN
- 0736-5853 (ISSN-L)
- OpenAlex
- W4405194032
- Cited by
- 82
- References
- 64
- Citations by year
- 2026: 54 · 2025: 28
- FWCI
- 47.31
- Type
- journal article
- Language
- en
- Open access
- green
- commons.lib.jmu.edu
- Licence
- Locations
- Telematics and Informatics (publishedVersion)
- JMU Scholoraly Commons (James Madison University) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Communication › Media Studies and Communication
- Social Sciences › Communication › Journalism and Media Studies
- Social Sciences › Communication › Communication and COVID-19 Impact
- Keywords
- artificial intelligence, news media coverage, frame analysis, sentiment analysis, news headlines, AI ethics and regulation, data privacy, cross-national comparison
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 ›
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