Social Media Paper Triage
Turn social media paper recommendations into actionable research items.
When to Use
- User forwards a 小红书 post about a paper
- User shares a WeChat公众号 article discussing papers
- User shares a Twitter/X thread about a paper or method
- User asks "find the original paper from this link"
- User shares any blog post / newsletter that references academic papers
Workflow
Step 1: Extract Content from Platform
Use platform-specific tools to fetch the full content:
| Platform | Tool | Command |
|---|---|---|
| 小红书 | Agent Reach (XiaoHongShu) | mcporter call 'xhs.get_note(note_url: "URL")' |
| WeChat公众号 | Agent Reach (WeChat) | python3 ~/.agent-reach/.venv/bin/wechat_article.py "URL" |
| Twitter/X | xreach | xreach tweet URL --json or xreach thread URL --json |
| Agent Reach | mcporter call 'reddit.read_post(url: "URL")' | |
| Bilibili | Agent Reach | mcporter call 'bilibili.get_video_info(url: "URL")' |
| Any URL | Jina Reader | curl -s "https://r.jina.ai/URL" |
Step 2: Identify Papers
From the extracted content, identify all referenced papers:
- Look for: paper titles, arXiv IDs, DOIs, author names + year citations
- Distinguish between: the main paper being discussed vs. papers cited in passing
- Note: social media posts often use informal titles or translated titles
Step 3: Find Original Sources
For each identified paper, find the authoritative source:
- arXiv search: Check if it's on arXiv (most ML/AI papers are)
- Semantic Scholar: Search by title for metadata + citation count
- Google Scholar (via web search): Fallback for non-arXiv papers
Priority: arXiv PDF > conference proceedings > journal version
Step 4: Summarize for Decision
Present a concise summary to the user:
📄 Paper: [Title] 👥 Authors: [First author] et al., [Year] 🏛 Venue: [Conference/Journal] 📊 Citations: [N] 🔗 Original: [arXiv/DOI link] 📱 Source: [social media link] TL;DR: [2-3 sentence summary of what the paper does and why it matters] Relevance to your work: [brief assessment based on user's research context]
Step 5: User Decision → Action
Based on user's response:
- "Add to reading queue" → Add to Zotero
30_Reading Queuewith appropriate tag - "Not relevant" → Done, no action
- "Read it now" → Switch to paper-reading skill
- "Save for later" → Add to Zotero with lower priority tag
Key Principles
- Always find the original paper — don't just summarize the social media post
- Don't auto-add to Zotero — summarize first, let user decide
- Preserve the social media link — add as a note/attachment in Zotero for provenance
- Assess relevance — use knowledge of user's active projects to judge fit
- Batch processing — if the post mentions multiple papers, triage all of them at once
Common Gotchas
- WeChat articles often translate paper titles to Chinese — search by original English title
- 小红书 posts may summarize methods inaccurately — always verify against the original
- Twitter threads may reference preprints that have been updated/published since
- Some posts discuss methods without naming specific papers — ask user for clarification
