arXiv cs.CL· Silvia V. Gargova, Tim Menzner, Jochen L. Leidner·· 3 天前AI 评分26
机器翻译会保留媒体偏见吗？首项 MT 媒体偏见保留实验研究
Does Machine Translation Retain Media Bias?
AI 导读
一项针对英语、德语译为保加利亚语的探索性研究发现，机器翻译无法完整保留源文本中的新闻偏见，还可能自行引入额外偏见。研究评估了四种 SOTA 翻译方法，覆盖 27 种媒体偏见类型，作者称这是首个关于 MT 媒体偏见保留的实验研究。
正文 · 原文
Abstract:Within the most recent two decades, machine translation (MT) has been advanced from a research area to a mature, deployed technology for prose text and most language pairs. However, language has different dimensions of meaning, and the alluded progress has primarily been demonstrated for propositional meaning.
In this small exploratory study, we investigate whether one type of affective meaning, namely different types of linguistically expressed media bias, are retained under automatic translation for two language pairs, English and German as the source languages, and Bulgarian as the target language. We evaluate four state-of-the-art translation methods to answer the question whether and to what degree a loss of non-neutral language (specifically, 27 types of media bias) can occur as a result of applying MT.
Our empirical findings are consistent with the claim that MT does not fully retain existing news bias of its input source text, but also may add extra bias of its own. To the best of our knowledge, this is the first experimental study of MT media bias retention.
| Comments: | 7 pages, 4 figures |
| Subjects: | Computation and Language (cs.CL); Artificial Intelligence (cs.AI) |
| MSC classes: | 68T50 |
| ACM classes: | I.2.7 |
| Cite as: | arXiv:2610.19945 [cs.CL] |
| (or arXiv:2610.19945v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2610.19945 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Jochen L. Leidner [view email]
[v1]
Wed, 14 Oct 2026 10:28:50 UTC (198 KB)
来源：arXiv cs.CL · arxiv.org