B Evidence Grade B Graded accuracy verified by the review judge Safe to Cite Dated

4%

4% -- false positive rate for Twitter trending topics (MIT research) (2013)

2013  · MIT (Devavrat Shah and Stanislav Nikolov)

MIT researchers described a classifier that predicted trending topics on Twitter with a 4% false-positive rate.

Cite this stat Share How we verify
Attribution: MIT (Devavrat Shah and Stanislav Nikolov) View source
Lighthouse Research Team
Last verified:  ·  How we verify data →
Source verified Evidence graded
Value
4%
Unit
Percentage
Data Vintage
2013
Entity
Twitter trending topics (MIT research)
B
Strong, reliable evidence

Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.

61/100 confidence

Single source - not yet corroborated

Extraction
75
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
MIT (Devavrat Shah and Stanislav Nikolov) Primary Tier B
https://xburst.app/blog/trending-topics-on-twitter-today ↗
Confidence: 53/100 Vintage: 2013 Channel: Deep Crawl
Source Article
Find Trending Topics on Twitter Today: A Growth Guide
Find Trending Topics on Twitter Today: A Growth Guide Learn how to find trending topics on Twitter today, filter noise from signal, and engage early. A step-by-step guide for creators to drive real growth on X. You open X for five minutes to “check what's trending,” see a hashtag exploding, watch a …
Original Research
MIT (Devavrat Shah and Stanislav Nikolov) · Original study ↗

MIT classifier based on tweet volume rate of change

Methodology documented
Industrymarketing
Plain Text
Twitter trending topics (MIT research): 4% false positive rate. Source: MIT (Devavrat Shah and Stanislav Nikolov) (2013). Via Lighthouse Intelligence -- https://lighthousedata.io/data/mit-trend-prediction-false-positive-rate
HTML Embed
<blockquote cite="https://lighthousedata.io/data/mit-trend-prediction-false-positive-rate" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>4%</strong> -- false positive rate for Twitter trending topics (MIT research)<br><small>Source: MIT (Devavrat Shah and Stanislav Nikolov) (2013) · <a href="https://lighthousedata.io/data/mit-trend-prediction-false-positive-rate" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
Share
Share on X Share on LinkedIn

Use this data in your work

Copy the citation, embed the widget, or explore thousands more verified marketing statistics -- all free.

Copy citation Explore similar stats →