Analysis Dashboard
Multi-dimensional analysis of 16,549 articles
75
Avg Reliability
1
Avg Clickbait
3
Sponsored
0
High Clickbait
Content Type Distribution
news12129 (73%)
project2836 (17%)
discussion902 (5%)
product launch250 (2%)
review157 (1%)
tutorial140 (1%)
analysis99 (1%)
opinion33 (0%)
sponsored3 (0%)
Sentiment Distribution
positive3187 (19%)
neutral10414 (63%)
negative2948 (18%)
Reliability Range
45
Min
95
Max
Top Sources by Volume
| Source | Articles | Type | Reliability |
|---|---|---|---|
| github.com | 2807 | project | 90/100 |
| youtube.com | 420 | news | 60/100 |
| twitter.com | 201 | news | 70/100 |
| nytimes.com | 178 | news | 83/100 |
| en.wikipedia.org | 163 | news | 70/100 |
| theguardian.com | 157 | news | 82/100 |
| arxiv.org | 152 | news | 70/100 |
| wsj.com | 127 | news | 82/100 |
| theregister.com | 117 | news | 76/100 |
| reuters.com | 110 | news | 92/100 |
| arstechnica.com | 100 | news | 85/100 |
| medium.com | 88 | news | 50/100 |
| bbc.com | 84 | news | 90/100 |
| bloomberg.com | 83 | news | 83/100 |
| ft.com | 75 | news | 85/100 |
Content analysis uses automated pattern-based scoring: reliability scores combine MBFC data with platform defaults, clickbait detection uses title pattern matching, sponsor detection uses keyword and phrase analysis, and sentiment uses VADER (Valence Aware Dictionary and sEntiment Reasoner). These are automated assessments and may not capture the full nuance of individual articles.