B
Evidence Grade B
Graded
accuracy verified by the review judge
Safe to Cite
Dated
350,000,000
350,000,000 -- social media posts analyzed for Twitter, Facebook, and Instagram (2020)
The research team analyzed around 350 million social media posts across Twitter, Facebook, and Instagram leading up to the 2020 election.
- Figure is approximate ('around 350 million')
Attribution:
View source
Lighthouse Research Team
Last verified:
·
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Source verified
Evidence graded
Value
350,000,000
Unit
Count
Data Vintage
2020
Entity
Evidence Quality
B
Strong, reliable evidence
Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.
Single source - not yet corroborated
Score breakdown
Extraction
75
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
Source
Northeastern University / University of Münster research team
Primary
Tier B
https://analyticdashboards.wordpress.com/2020/10/23/2020-election-impact-of-fake-news ↗
Source Article
Election research wins award
Original Research
Northeastern University / University of Münster research team
· Original study ↗
Methodology
Research study dataset size for fake news analysis in 2020 US election
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
Twitter, Facebook, and Instagram: 350,000,000 social media posts analyzed. Source: Northeastern University / University of Münster research team (2020). Via Lighthouse Intelligence -- https://lighthousedata.io/data/social-media-posts-analyzed-2020-election
HTML Embed
<blockquote cite="https://lighthousedata.io/data/social-media-posts-analyzed-2020-election" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>350,000,000</strong> -- social media posts analyzed for Twitter, Facebook, and Instagram<br><small>Source: Northeastern University / University of Münster research team (2020) · <a href="https://lighthousedata.io/data/social-media-posts-analyzed-2020-election" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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