media-verification
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ChineseMedia Verification
媒体验证
Confirm that a piece of media is real, original, and shows what it claims.
Standard practice for journalism and disinformation work.
确认某一媒体内容真实、原始且与所声称的内容相符。这是新闻工作和虚假信息治理中的标准流程。
The checklist
核查清单
- Provenance — is this the original or a repost? Run (video: search keyframes) to find the earliest copy and its true date and caption. Recycled old media in a new context is the most common deception.
reverse-image-search - Metadata — run for capture time, GPS, and editing-software traces (often stripped by platforms — absence isn't proof).
exif-metadata-analysis - Location — does the scene match the claimed place? Verify with
.
chronolocation - Time — do shadows, weather, and season fit the claimed date? Cross-check weather archives.
- Internal consistency — signage language, currency, plates, and license details should all agree with the claimed setting.
- 来源溯源——这是原始内容还是转发内容?运行(视频:搜索关键帧)以找到最早的版本及其真实日期和说明。在新语境中重复使用旧媒体是最常见的欺骗手段。
reverse-image-search - 元数据——运行获取拍摄时间、GPS信息和编辑软件痕迹(平台通常会剥离这些信息——缺失不代表没有问题)。
exif-metadata-analysis - 地点验证——场景是否与声称的地点相符?使用进行验证。
chronolocation - 时间验证——阴影、天气和季节是否与声称的日期相符?交叉核对气象档案。
- 内部一致性——标识语言、货币、车牌和许可细节都应与声称的场景一致。
Manipulation & AI
篡改与AI生成内容
- Edits — error-level analysis (FotoForensics), clone/splice artifacts, inconsistent lighting/shadows and reflections, warped edges near pasted objects.
- AI-generated — check hands, teeth, ears, text/logos, jewelry, and background coherence; watch for too-smooth skin and nonsensical fine print. Detection tools help but are not reliable alone — corroborate.
- Video/deepfake — unnatural blinking, mismatched lip-sync, flickering face edges, inconsistent head/neck lighting; inspect frame by frame.
- 编辑篡改——错误级别分析(FotoForensics)、克隆/拼接痕迹、不一致的光线/阴影和反射、粘贴物体边缘的变形。
- AI生成内容——检查手部、牙齿、耳朵、文字/标志、珠宝和背景连贯性;留意过于光滑的皮肤和无意义的小字。检测工具虽有帮助,但不能单独作为可靠依据——需多方佐证。
- 视频/深度伪造——不自然的眨眼、唇形不符、面部边缘闪烁、头部/颈部光线不一致;逐帧检查。
Verdict
结论
Report a graded conclusion — authentic / altered / misattributed / AI-generated
/ inconclusive — with the specific evidence, never a bare yes/no. When unsure,
say inconclusive; a wrong "verified" is worse than an honest gap.
给出分级结论——真实/篡改/错误归因/AI生成/无法确定——并附上具体证据,切勿仅给出是或否的简单答案。若不确定,应说明无法确定;错误的“已验证”比坦诚的不确定性更糟糕。