ディープフェイク
의미: Deepfake — AI-generated fake media, especially manipulated video or audio that makes someone appear to say or do something they never did.
Borrowed from English 'deepfake' (deep learning + fake), this term describes AI-manipulated media that is increasingly difficult to distinguish from reality. In Japan, awareness grew particularly around concerns about celebrity and politician deepfakes, as well as non-consensual intimate imagery. The term carries strongly negative connotations and is primarily used when discussing the dangers of this technology.
예문
- ディープフェイクの動画がリアルすぎて見分けがつかない。 深度伪造的视频太逼真了,根本分不出来。Los vídeos deepfake son tan realistas que no se distinguen de los auténticos.딥페이크 영상이 너무 사실적이어서 구분이 안 돼.
- 有名人のディープフェイクが問題になってるよね。 名人的深度伪造视频正成为一个问题。Los deepfakes de famosos se están convirtiendo en un problema serio, ¿no?유명인의 딥페이크가 문제가 되고 있잖아.
- ディープフェイク対策の技術開発が急がれてる。 深度伪造的防范技术开发迫在眉睫。El desarrollo de tecnología contra los deepfakes es urgente.딥페이크 대응 기술 개발이 시급해.
발음
/diː.pu.ɸe.i.ku/
사용 가이드
맥락: news, tech discussion, social awareness
어조: cautionary, serious
✓ 올바른 표현
- この動画ディープフェイクじゃない? (Isn't this video a deepfake?)这个视频不是深度伪造的吧?Este vídeo es un deepfake, ¿no?이 영상 딥페이크 아냐?
- ディープフェイク見抜く方法知ってる? (Do you know how to spot a deepfake?)你知道怎么识别深度伪造吗?¿Sabes cómo detectar un deepfake?딥페이크 구별하는 방법 알아?
✗ 잘못된 표현
- ディープフェイクを面白半分で作成・拡散するのは法的問題になる可能性がある (Creating or sharing deepfakes for fun could lead to legal trouble)出于好玩制作或传播深度伪造内容可能面临法律问题Crear o difundir deepfakes por diversión puede acarrear problemas legales.딥페이크를 장난삼아 제작하거나 퍼뜨리는 것은 법적 문제로 이어질 수 있다
흔한 실수
- Using ディープフェイク loosely for any edited photo — it specifically refers to AI-generated synthetic media
기원과 역사
Loanword from English 'deepfake' (blend of 'deep learning' and 'fake'). The concept gained global attention around 2017-2018 and entered Japanese media vocabulary shortly after.
문화적 배경
Era: 2017-2018 global emergence, growing awareness in Japan
Generation: All ages
Social background: Universal awareness
Regional notes: Used across all of Japan. Japanese law has been evolving to address deepfake-related issues.
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