@article{ART003383682},
author={Lee, Jimin},
title={Media framing of translation and interpreting discourse in the age of AI: A Korean news big data analysis},
journal={The Journal of Translation Studies},
issn={1229-795X},
year={2026},
volume={27},
number={3},
pages={113-142},
doi={10.15749/jts.2026.27.3.004}
TY - JOUR
AU - Lee, Jimin
TI - Media framing of translation and interpreting discourse in the age of AI: A Korean news big data analysis
JO - The Journal of Translation Studies
PY - 2026
VL - 27
IS - 3
PB - The Korean Association for Translation Studies
SP - 113
EP - 142
SN - 1229-795X
AB - This study examines how Korean news media frame translation and interpreting (T&I) in the age of AI, using a corpus of 481 news articles collected via BigKinds over one year (July 1, 2025–June 30, 2026). Combining keyword frequency analysis, LDA topic modeling (K=5), valence frame coding, and semantic network analysis, the study identifies both the thematic content and the positive, negative, or neutral valence of media discourse. Results show that Korean coverage is overwhelmingly organized around technology- and industry-solution frames, with positive framing predominating overall. By contrast, discourse addressing interpreters’ and translators’ professional roles and identities was comparatively marginal, yet concentrates most of the negative coverage found in the corpus—revealing an asymmetric structure in which technology and services are represented positively while negative framing is displaced onto human professionals. Coverage also emphasizes AI translation as a tool for resolving language barriers faced by migrant workers and foreign residents, foregrounded "real-time" processing, and referenced translation nearly three times more often than interpreting. These findings suggest that Korean media construct AI-era T&I primarily through economic and industrial-efficiency frames, with implications for public perceptions of T&I professionals and the social value of T&I education.
KW - Media framing;AI translation and interpreting;topic modeling;valence frame;semantic network analysis;news big data
DO - 10.15749/jts.2026.27.3.004
ER -
Lee, Jimin. (2026). Media framing of translation and interpreting discourse in the age of AI: A Korean news big data analysis. The Journal of Translation Studies, 27(3), 113-142.
Lee, Jimin. 2026, "Media framing of translation and interpreting discourse in the age of AI: A Korean news big data analysis", The Journal of Translation Studies, vol.27, no.3 pp.113-142. Available from: doi:10.15749/jts.2026.27.3.004
Lee, Jimin "Media framing of translation and interpreting discourse in the age of AI: A Korean news big data analysis" The Journal of Translation Studies 27.3 pp.113-142 (2026) : 113.
Lee, Jimin. Media framing of translation and interpreting discourse in the age of AI: A Korean news big data analysis. 2026; 27(3), 113-142. Available from: doi:10.15749/jts.2026.27.3.004
Lee, Jimin. "Media framing of translation and interpreting discourse in the age of AI: A Korean news big data analysis" The Journal of Translation Studies 27, no.3 (2026) : 113-142.doi: 10.15749/jts.2026.27.3.004
Lee, Jimin. Media framing of translation and interpreting discourse in the age of AI: A Korean news big data analysis. The Journal of Translation Studies, 27(3), 113-142. doi: 10.15749/jts.2026.27.3.004
Lee, Jimin. Media framing of translation and interpreting discourse in the age of AI: A Korean news big data analysis. The Journal of Translation Studies. 2026; 27(3) 113-142. doi: 10.15749/jts.2026.27.3.004
Lee, Jimin. Media framing of translation and interpreting discourse in the age of AI: A Korean news big data analysis. 2026; 27(3), 113-142. Available from: doi:10.15749/jts.2026.27.3.004
Lee, Jimin. "Media framing of translation and interpreting discourse in the age of AI: A Korean news big data analysis" The Journal of Translation Studies 27, no.3 (2026) : 113-142.doi: 10.15749/jts.2026.27.3.004
