source-verification
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ChineseSource verification methodology
来源验证方法论
Systematic approaches for verifying sources, claims, and digital content in journalism and research.
新闻与研究领域中,用于验证来源、主张及数字内容的系统化方法。
Verification framework
验证框架
The SIFT method
SIFT方法
S - Stop: Don't immediately share or use unverified information
I - Investigate the source: Who is behind the information?
F - Find better coverage: What do other reliable sources say?
T - Trace claims: Find the original source of the claim
S - 暂停:不要立即分享或使用未验证的信息
I - 调查来源:信息背后的主体是谁?
F - 查找更权威报道:其他可靠来源的说法是什么?
T - 追溯主张:找到主张的原始来源
Source credibility checklist
来源可信度检查表
markdown
undefinedmarkdown
undefinedSource evaluation template
来源评估模板
Basic identification
基础信息确认
- Full name/organization identified
- Contact information verifiable
- Professional credentials checkable
- Online presence consistent across platforms
- 已确认完整姓名/机构
- 联系方式可验证
- 专业资质可核查
- 多平台线上形象一致
Expertise assessment
专业能力评估
- Relevant expertise for the claim being made
- Track record in this subject area
- Recognized by peers in the field
- No history of spreading misinformation
- 对所提出的主张具备相关专业能力
- 在该领域有相关记录
- 获得同行认可
- 无传播虚假信息的历史
Motivation analysis
动机分析
- Potential conflicts of interest identified
- Financial stake in the outcome?
- Political or ideological motivation?
- Personal grievance involved?
- 已识别潜在利益冲突
- 是否在结果中存在财务利害关系?
- 是否存在政治或意识形态动机?
- 是否涉及个人恩怨?
Corroboration
佐证核查
- Can claims be independently verified?
- Do other credible sources confirm?
- Is documentary evidence available?
- Are there contradicting sources?
undefined- 主张是否可独立验证?
- 其他可信来源是否予以确认?
- 是否有书面证据可用?
- 是否存在矛盾的来源?
undefinedDigital verification techniques
数字验证技术
Social media account analysis
社交媒体账号分析
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undefinedmarkdown
undefinedAccount verification checklist
账号验证检查表
Account age and history
账号年限与历史
- Creation date (older accounts more credible)
- Posting frequency and patterns
- Gaps in activity (dormant then suddenly active?)
- Language consistency over time
- 创建日期(账号越久可信度越高)
- 发帖频率与模式
- 活动中断情况(是否长期沉寂后突然活跃?)
- 长期使用语言是否一致
Network analysis
网络关系分析
- Follower/following ratio
- Quality of followers (real accounts vs. bots)
- Interaction patterns (who engages with them?)
- Mutual connections with verified accounts
- 粉丝/关注者比例
- 粉丝质量(真实账号 vs 机器人账号)
- 互动模式(谁与他们互动?)
- 与已验证账号的关联情况
Content patterns
内容模式
- Original content vs. reshares only
- Topics discussed consistently
- Geographic indicators in posts
- Time zone of posting activity
- 原创内容 vs 仅转发
- 讨论话题是否一致
- 帖子中的地域标识
- 发帖活动的时区
Red flags
警示信号
- Recently created account making bold claims
- Sudden pivot in topics or tone
- Coordinated behavior with other accounts
- Stock photo profile picture
- Generic bio with no specifics
undefined- 新创建账号发布大胆主张
- 话题或语气突然转变
- 与其他账号的协同行为
- 使用库存照片作为头像
- 个人简介通用无具体信息
undefinedReverse image search workflow
反向图片搜索工作流
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undefinedmarkdown
undefinedImage verification process
图片验证流程
Step 1: Reverse image search
步骤1:反向图片搜索
Tools to use:
- Google Images (images.google.com)
- TinEye (tineye.com)
- Yandex Images (yandex.com/images) - best for faces
- Bing Visual Search
可使用工具:
- Google Images (images.google.com)
- TinEye (tineye.com)
- Yandex Images (yandex.com/images) - 人脸识别效果最佳
- Bing Visual Search
Step 2: Check metadata (EXIF)
步骤2:检查元数据(EXIF)
- Original capture date/time
- Camera/device information
- GPS coordinates (if available)
- Software used to edit
Tools:
- Jeffrey's EXIF Viewer (exif.regex.info)
- FotoForensics (fotoforensics.com)
- InVID verification plugin
- 原始拍摄日期/时间
- 相机/设备信息
- GPS坐标(如有)
- 用于编辑的软件
工具:
- Jeffrey's EXIF Viewer (exif.regex.info)
- FotoForensics (fotoforensics.com)
- InVID 验证插件
Step 3: Analyze image content
步骤3:分析图片内容
- Weather conditions (match reported date?)
- Shadows (consistent with time of day?)
- Signage/text (correct language for location?)
- Architecture (matches claimed location?)
- Clothing (seasonal appropriateness?)
- 天气状况(与报道日期匹配?)
- 阴影(与时间段一致?)
- 标识/文字(与地点语言相符?)
- 建筑(与声称地点匹配?)
- 服装(符合季节?)
Step 4: Find original source
步骤4:查找原始来源
- Earliest appearance online
- Original photographer/source
- Context of first publication
- Has it been used in other contexts?
undefined- 最早在网上出现的时间
- 原始摄影师/来源
- 首次发布的上下文
- 是否被用于其他场景?
undefinedVideo verification
视频验证
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undefinedmarkdown
undefinedVideo verification checklist
视频验证检查表
Technical analysis
技术分析
- Resolution consistent throughout
- Audio sync matches video
- No visible editing artifacts
- Lighting consistent across frames
- Shadows behave naturally
- 分辨率全程一致
- 音频与视频同步
- 无可见编辑痕迹
- 画面光线一致
- 阴影自然合理
Content analysis
内容分析
- Location identifiable and verifiable
- Time indicators (sun position, shadows)
- Weather matches historical records
- Background details consistent
- People's clothing appropriate for context
- 地点可识别并验证
- 时间标识(太阳位置、阴影)
- 天气与历史记录匹配
- 背景细节一致
- 人物服装符合场景
Metadata check
元数据检查
- Upload date vs. claimed event date
- Original source identified
- Chain of custody traceable
- Multiple angles available?
- 上传日期与声称事件日期对比
- 已识别原始来源
- 可追溯保管链
- 是否有多个角度的素材?
Tools
工具
- InVID/WeVerify browser extension
- YouTube DataViewer (citizenevidence.amnestyusa.org)
- Frame-by-frame analysis tools
undefined- InVID/WeVerify 浏览器扩展
- YouTube DataViewer (citizenevidence.amnestyusa.org)
- 逐帧分析工具
undefinedDocument verification
文档验证
PDF and document analysis
PDF与文档分析
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undefinedDocument verification steps
文档验证步骤
Metadata examination
元数据检查
- Creation date and modification history
- Author information
- Software used to create
- Embedded fonts and images
- 创建日期与修改历史
- 作者信息
- 用于创建的软件
- 嵌入的字体与图片
Visual inspection
视觉检查
- Consistent formatting throughout
- Font matching (no spliced text)
- Alignment of text and images
- Quality consistent across pages
- Signatures appear authentic
- 格式全程一致
- 字体匹配(无拼接文本)
- 文本与图片对齐
- 页面质量一致
- 签名看起来真实可信
Content verification
内容验证
- Dates internally consistent
- Names spelled correctly throughout
- Reference numbers valid
- Contact information verifiable
- Letterhead matches known examples
- 日期在内部一致
- 姓名拼写全程正确
- 参考编号有效
- 联系方式可验证
- 信头与已知示例匹配
Provenance
来源追溯
- How was document obtained?
- Chain of custody documented?
- Original vs. copy?
- Can source provide additional context?
undefined- 文档如何获取?
- 保管链是否有记录?
- 原件 vs 复印件?
- 来源能否提供额外上下文?
undefinedBuilding a verification trail
构建验证轨迹
Documentation template
文档模板
markdown
undefinedmarkdown
undefinedVerification record
验证记录
Claim being verified:
[State the specific claim]
Source of claim:
- Name/account:
- Platform:
- Date first seen:
- URL (archived):
Verification steps taken:
待验证主张:
[陈述具体主张]
主张来源:
- 姓名/账号:
- 平台:
- 首次发现日期:
- URL(已存档):
已执行的验证步骤:
Step 1: [Description]
步骤1:[描述]
- Action taken:
- Tool/method used:
- Result:
- Screenshot/evidence saved: [filename]
- 执行操作:
- 使用工具/方法:
- 结果:
- 截图/证据已保存:[文件名]
Step 2: [Description]
步骤2:[描述]
- Action taken:
- Tool/method used:
- Result:
- Screenshot/evidence saved: [filename]
[Continue for each step]
Corroborating sources:
- [Source 1] - [What it confirms]
- [Source 2] - [What it confirms]
- [Source 3] - [What it confirms]
Contradicting information:
- [Source] - [What it contradicts]
Confidence assessment:
- Verified true
- Likely true (high confidence)
- Unverified (insufficient evidence)
- Likely false (contradicting evidence)
- Verified false
Reasoning:
[Explain your conclusion based on evidence]
Verification completed by:
Date:
undefined- 执行操作:
- 使用工具/方法:
- 结果:
- 截图/证据已保存:[文件名]
[继续添加每个步骤]
佐证来源:
- [来源1] - [其确认内容]
- [来源2] - [其确认内容]
- [来源3] - [其确认内容]
矛盾信息:
- [来源] - [其矛盾内容]
可信度评估:
- 已验证为真
- 可能为真(高可信度)
- 未验证(证据不足)
- 可能为假(存在矛盾证据)
- 已验证为假
推理过程:
[基于证据解释结论]
验证完成人:
日期:
undefinedArchiving evidence
证据存档
Web archiving best practices
网页存档最佳实践
python
undefinedpython
undefinedSave URLs to multiple archives for redundancy
Save URLs to multiple archives for redundancy
ARCHIVE_SERVICES = [
'https://web.archive.org/save/', # Internet Archive
'https://archive.ph/', # Archive.today
'https://perma.cc/', # Perma.cc (requires account)
]
def archive_url(url: str) -> dict:
"""Archive URL to multiple services."""
results = {}
# Internet Archive
try:
response = requests.get(f'https://web.archive.org/save/{url}')
if response.status_code == 200:
results['wayback'] = response.url
except Exception as e:
results['wayback_error'] = str(e)
# Archive.today (requires different approach)
# ... implementation
return resultsundefinedARCHIVE_SERVICES = [
'https://web.archive.org/save/', # Internet Archive
'https://archive.ph/', # Archive.today
'https://perma.cc/', # Perma.cc (requires account)
]
def archive_url(url: str) -> dict:
"""Archive URL to multiple services."""
results = {}
# Internet Archive
try:
response = requests.get(f'https://web.archive.org/save/{url}')
if response.status_code == 200:
results['wayback'] = response.url
except Exception as e:
results['wayback_error'] = str(e)
# Archive.today (requires different approach)
# ... implementation
return resultsundefinedScreenshot documentation
截图记录规范
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undefinedmarkdown
undefinedScreenshot best practices
截图最佳实践
- Full page capture: Use browser extensions for full-page screenshots
- Include URL bar: Shows the source URL
- Include timestamp: System clock visible or add manually
- Save metadata: Note when and how captured
- Multiple formats: Save as PNG (lossless) and PDF
- Secure storage: Hash files and store securely
Recommended tools:
- Hunchly (hunch.ly) - automatic capture and logging
- Screenpresso - full page with annotations
- Browser print-to-PDF - includes URL and date
undefined- 全页面捕获:使用浏览器扩展进行全页面截图
- 包含地址栏:显示来源URL
- 包含时间戳:显示系统时钟或手动添加
- 保存元数据:记录捕获时间与方式
- 多种格式:保存为PNG(无损)和PDF格式
- 安全存储:对文件进行哈希处理并安全存储
推荐工具:
- Hunchly (hunch.ly) - 自动捕获与日志记录
- Screenpresso - 带注释的全页面截图
- 浏览器打印为PDF - 包含URL与日期
undefinedInterview verification
采访验证
Pre-interview source check
采访前来源核查
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undefinedmarkdown
undefinedSource background check
来源背景核查
Public records
公共记录
- Professional licenses verified
- Court records checked
- Business registrations confirmed
- Property records (if relevant)
- Campaign finance records (if political)
- 已验证专业执照
- 已查询法院记录
- 已确认商业注册信息
- 已查询财产记录(如相关)
- 已查询竞选财务记录(如涉及政治)
Professional background
专业背景
- LinkedIn profile reviewed
- Employer confirmed
- Previous employers contacted
- Published work reviewed
- Conference appearances verified
- 已查看LinkedIn资料
- 已确认雇主信息
- 已联系前雇主
- 已查看已发表作品
- 已验证会议出席记录
Social media audit
社交媒体审计
- All platforms identified
- Post history reviewed
- Connections/followers analyzed
- Previous statements on topic
- Any deleted content found?
- 已识别所有平台账号
- 已查看发帖历史
- 已分析关联/关注者情况
- 已查看此前关于该话题的声明
- 是否找到已删除内容?
Media appearances
媒体出镜记录
- Previous interviews found
- Consistency with current claims
- Other journalists' assessments
- Any retractions or corrections?
undefined- 已找到此前采访记录
- 与当前主张是否一致
- 其他记者的评价
- 是否有撤回或更正记录?
undefinedDuring interview verification
采访中验证
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undefinedReal-time verification techniques
实时验证技巧
Document requests
文件请求
- Ask for documentation during interview
- Verify documents aren't altered
- Request originals, not copies when possible
- Note document condition and provenance
- 采访期间要求提供文件
- 验证文件未被篡改
- 尽可能要求提供原件而非复印件
- 记录文件状态与来源
Specific detail probing
具体细节追问
- Ask for specific dates, names, locations
- Request corroborating witnesses
- Ask "How do you know that?"
- Follow up on vague answers
- 询问具体日期、姓名、地点
- 请求提供佐证证人
- 询问"你如何得知此事?"
- 跟进模糊回答
Consistency checks
一致性检查
- Note initial version of story
- Return to key points later
- Compare details across tellings
- Flag inconsistencies for follow-up
- 记录故事的初始版本
- 后续回到关键要点
- 对比多次讲述的细节
- 标记不一致之处以便跟进
Recording best practices
记录最佳实践
- Get consent (check local laws)
- Use reliable recording equipment
- Backup recording in real-time
- Note non-verbal cues separately
undefined- 获取同意(遵守当地法律)
- 使用可靠的录音设备
- 实时备份录音
- 单独记录非语言线索
undefinedVerification resources
验证资源
Essential tools
必备工具
| Tool | Purpose | URL |
|---|---|---|
| InVID/WeVerify | Video verification plugin | weverify.eu |
| TinEye | Reverse image search | tineye.com |
| Wayback Machine | Web archives | web.archive.org |
| CrowdTangle | Social media tracking | crowdtangle.com |
| Hoaxy | Claim spread visualization | hoaxy.osome.iu.edu |
| Media Bias/Fact Check | Source reliability | mediabiasfactcheck.com |
| OpenCorporates | Company records | opencorporates.com |
| OCCRP Aleph | Document search | aleph.occrp.org |
| 工具 | 用途 | URL |
|---|---|---|
| InVID/WeVerify | 视频验证插件 | weverify.eu |
| TinEye | 反向图片搜索 | tineye.com |
| Wayback Machine | 网页存档 | web.archive.org |
| CrowdTangle | 社交媒体追踪 | crowdtangle.com |
| Hoaxy | 主张传播可视化 | hoaxy.osome.iu.edu |
| Media Bias/Fact Check | 来源可信度核查 | mediabiasfactcheck.com |
| OpenCorporates | 企业记录查询 | opencorporates.com |
| OCCRP Aleph | 文档搜索 | aleph.occrp.org |
Training resources
培训资源
- First Draft News (firstdraftnews.org)
- Bellingcat guides (bellingcat.com/resources)
- Google News Initiative (newsinitiative.withgoogle.com)
- Verification Handbook (verificationhandbook.com)
- SPJ ethics resources (spj.org/ethics)
- First Draft News (firstdraftnews.org)
- Bellingcat 指南 (bellingcat.com/resources)
- Google News Initiative (newsinitiative.withgoogle.com)
- Verification Handbook (verificationhandbook.com)
- SPJ 伦理资源 (spj.org/ethics)