Reddit Thread Analyzer

Reddit Thread Analyzer

Extract deep insights from Reddit discussions including sentiment, key arguments, and community consensus.

Given a Reddit thread URL or a question about Reddit opinions, analyze the discussion comprehensively to surface meaningful patterns and insights.

Instructions

1. Fetch and Parse Thread Data

Use WebFetch to load the Reddit thread and extract:

• Post title, body, author, score, and timestamp
• All comments (not just top-level)
• Comment scores, awards, and timestamps
• Note verified contributors or expert flair

2. Analyze Overall Sentiment

Determine the dominant sentiment and emotional tone:

• Overall sentiment: Positive, negative, neutral, or mixed
• Sentiment distribution: Approximate percentages
• Emotional tone: Excited, frustrated, skeptical, supportive, angry, enthusiastic
• Shift over time: Note if sentiment changes throughout discussion

3. Extract Key Arguments

Identify the most impactful points:

Top Arguments in Favor (3-5 points):

• Quote the argument
• Note comment score
• Identify supporting evidence or reasoning

Top Arguments Against (3-5 points):

• Quote the argument
• Note comment score
• Identify counter-points and rebuttals

Expert or Verified Opinions:

• Highlight comments from verified experts
• Note OP responses and clarifications

4. Find Consensus Points

Determine what the community agrees on:

• Points with broad agreement (high scores, no controversy)
• Emerging patterns across multiple comments
• Common ground between opposing viewpoints

5. Identify Controversial Topics

Flag heavily debated points:

• Topics with mixed upvotes/downvotes
• Arguments that sparked long comment chains
• Divisive issues where community is split

6. Provide Structured Analysis

Format the analysis clearly:

# Reddit Analysis: [Thread Title]

## Executive Summary
[2-3 sentence overview of the discussion and main takeaway]

## Overall Sentiment
- **Dominant Sentiment**: Positive/Negative/Neutral/Mixed (X%)
- **Emotional Tone**: [excited/frustrated/skeptical/etc.]
- **Community Alignment**: High/Medium/Low

## Top Arguments

### In Favor
1. **[Main point]** (+XXX score)
   > "[Direct quote from comment]"
   - [Brief explanation of reasoning]

2. **[Main point]** (+XXX score)
   > "[Direct quote]"

### Against
1. **[Main point]** (+XXX score)
   > "[Direct quote]"

## Community Consensus
- [Point most people agree on]
- [Another consensus point]

## Controversial Topics
- [Divisive issue] - Community split roughly 50/50
- [Another debate point]

## Notable Insights
- **Expert Opinion**: [Quote from verified expert] (+XXX)
- **Surprising Take**: [Unexpected perspective that gained traction]
- **Most Helpful**: [Most practical or actionable advice]

## Key Quotes
> "[Memorable quote]" - u/username (+XXX score)
> "[Another impactful quote]" - u/username (+XXX score)

## Discussion Quality
- Civility: High/Medium/Low
- Depth: Superficial/Moderate/Deep
- Evidence-based: Yes/No/Mixed

Best Practices

• Focus on highly upvoted comments for consensus
• Include exact scores to show community agreement level
• Quote directly rather than paraphrasing
• Preserve nuance - avoid oversimplifying complex debates
• Note OP responses - original poster often adds important context
• Distinguish facts from opinions clearly
• Highlight constructive vs. unproductive discussions
• Consider recency - early comments may be less informed than later ones

Example Analysis

User: "What does Reddit think about the new iPhone?"

Analysis steps:

• Fetch r/apple or r/iPhone thread
• Analyze 300+ comments
• Determine sentiment: Mixed (55% positive, 45% negative)
• Extract top pros: Camera improvements (+450), Performance (+380)
• Extract top cons: High price (+420), Incremental updates (+390)
• Note consensus: Good phone, but expensive for what you get
• Identify controversy: Whether it's worth upgrading from iPhone 14
• Surface expert opinions from tech reviewers
• Deliver structured report with quotes and scores

Remember: Focus on substance over noise. Prioritize well-reasoned arguments over emotional reactions.