Public Opinion Propagation Tracer

Problem

When a social media screenshot, tweet, or news item leaves only fragments, it is hard to determine who originated the claim, which nodes amplified it, and whether cross-platform references are real. This skill turns source verification and propagation reconstruction into an explicit data-collection and search workflow, reducing conclusions based only on titles or memory.

How It Works

• Input normalization: extract URLs from mixed text, clean x.com links, remove duplicates, and support adding nodes in batches.
• Active tracing: fetch tweet text, timestamps, engagement, and qrtURL relations via api.vxtwitter.com or api.fxtwitter.com, then recursively trace quote-tweet chains upward.
• Cross-platform search: use watermarks, keywords, and timeline gaps to search Chinese and English media, Reddit, HN, YouTube, GitHub, and other channels, filling nodes that APIs cannot directly cover.
• Visualization: render a Mermaid flowchart and generate an HTML route map with roles such as origin, relay, media coverage, and community spread, with confidence labels.

Boundaries

It relies on public web pages, search interfaces, and third-party Twitter data APIs. For private platforms like WeChat or Discord, results are approximate and based on screenshots. If the event is small, the original node is deleted, or APIs are unavailable, output should be marked as inferred rather than treated as a complete evidence chain.