Research & Insights
Articles on YouTube comment analysis, audience sentiment, stance detection, and media opinion observability.
YouTube Trends by Country: What the Data Shows
How YouTube trending videos differ across 111 countries — and why geographic context matters for understanding audience behavior.
YouTube Statistics 2026: The Complete Numbers
Key YouTube statistics for 2026: views, engagement, category breakdown, regional trends, and what the numbers really mean for creators.
YouTube Comment Sentiment Analysis: What It Really Shows
Sentiment analysis is the first thing people try on YouTube comments. Here is what it captures and what it misses.
YouTube Likes Statistics: What They Really Tell You
YouTube likes are easy to game and hard to interpret. Why like counts alone don't tell the full story of audience reception.
YouTube Growth Trends: Which Categories Are Rising in 2026
Tracking which YouTube categories are growing, declining, or stabilizing. Data-driven insights for content strategy and audience targeting.
YouTube Engagement Statistics: What Drives Interaction
Why some YouTube videos get thousands of comments while others get millions of views but zero discussion. The engagement gap explained.
YouTube Views vs Comments: What Engagement Really Means
High views do not always mean high engagement. How to measure real audience interaction using comments, likes, and the PJQ engagement ratio.
YouTube Dashboard: How to Track Channel and Category Performance
Building an effective YouTube analytics dashboard. What metrics matter, how to visualize trends, and how to use PJQ Watchtower for free.
PJQ API: Integrate Stance Detection
PJQ offers a REST API and MCP server for programmatic access.
YouTube Comment Classification: A Complete Guide to Stance Categories
How YouTube comments are classified into stance categories: support, disagreement, neutral, and noise. The complete framework explained.
YouTube Comment Analyzer: What to Look For
Not all comment analysis tools are equal. Here is what a real YouTube comment analyzer should measure.
How to Analyze YouTube Comments: Step-by-Step
A practical guide to analyzing YouTube comments with PJQ.
YouTube Category Analytics: Which Niches Are Growing
Tracking growth trends across YouTube categories — which niches are expanding, which are declining, and what it means for content strategy.
What Is YouTube Audience Intelligence?
Audience intelligence goes beyond views and likes. How AI-powered tools analyze what audiences actually think, feel, and agree with.
YouTube Audience Analysis: Understanding Your Viewers
YouTube Analytics shows numbers. PJQ shows what those numbers mean for your content strategy.
YouTube Analytics by Country: Regional Differences
Why YouTube audience behavior varies dramatically between countries — and how regional trends reveal cultural patterns in content consumption.
YouTube Analytics Are Not Enough
YouTube Analytics shows what happened. PJQ shows what it means.
YouTube Analytics AI: How Artificial Intelligence Understands Audiences
AI-powered YouTube analytics that go beyond numbers. How machine learning classifies comments, detects patterns, and reveals audience behavior.
What Is Stance Detection?
Stance detection determines whether a text author is in favor of, against, or neutral toward a target. Unlike sentiment analysis, it measures agreement with ideas.
Trending YouTube Categories This Month: A Data-Driven Ranking
Monthly ranking of YouTube categories by views, engagement, and growth. Which categories are hot and which are cooling off.
How to Track YouTube Trends for Free
Free tools and methods for monitoring YouTube trends, category rankings, and audience engagement — without paying for premium analytics.
Top YouTube Categories: Ranking Global Popularity
A data-driven breakdown of the 15 YouTube categories ranked by views, likes, and comments — with regional variations that surprise.
YouTube Comment Stance Detection API
Integrate stance detection into your own tools via PJQ REST API or MCP server.
Sentiment vs Stance: Key Differences
Sentiment analysis and stance detection measure fundamentally different things. One measures emotional tone, the other measures agreement with ideas.
Public Opinion Analytics: How AI Measures What People Think
Measuring public opinion from YouTube comments. How AI classifies sentiment, detects agreement, and reveals what audiences really think.
Using AI to Measure Public Opinion from Comments
AI can analyze thousands of comments in seconds. But not all AI analysis is equal. Here is how PJQ uses AI for stance detection.
Mood-Net Explained: The Metric That Shows Real Opinion
Mood-Net is PJQ core metric. It measures the net agreement score from substantive opinions only, excluding noise.
Media Reception Measurement Framework
How to measure if a message was received as intended.
What Is a Media Opinion Observatory?
Traditional media monitoring tracks mentions. A media opinion observatory tracks reception. Here is the difference and why it matters.
How to Measure Audience Agreement
Likes measure attention, not agreement. Here is how to measure what audiences actually think.
How to Measure Public Opinion from YouTube Comments
YouTube comments are a raw signal of public opinion. Here is how to extract meaningful metrics from the noise.
Free YouTube Analytics Tools Compared: What You Get Without Paying
A comparison of free YouTube analytics options: YouTube Studio, SocialBlade, vidIQ free tier, and PJQ Watchtower. What each tool offers.
Detecting Bots in YouTube Comments
Bot farms and spam distort audience metrics. PJQ identifies inorganic activity and excludes it from opinion scores.
How to Detect Spam in YouTube Comments
Spam, bots, and fake engagement in YouTube comments. How to identify and filter parasitic noise from genuine audience feedback.
How to Classify YouTube Comments by Agreement and Disagreement
Classifying comments by agreement is harder than it looks. Here is why automated stance detection beats manual review.
Best Tool to Understand What YouTube Audience Really Thinks
YouTube Analytics shows what happened. PJQ shows what it means.
Audience Reaction Analysis: Beyond Likes and Views
Likes measure attention, not agreement. Here is how to measure what audiences actually think.
Detecting Audience Fatigue Early
Audience fatigue is a silent killer of channels. PJQ detects the early warning signs.
Audience Agreement vs Disagreement: What It Means for Content Strategy
When audiences agree with your content vs when they disagree. How stance analysis reveals the difference and why it matters for creators.