Archive / Cross-Cutting Lenses / MF-14
MF-14 · Narrative analysis across platforms
Social Pulse
Which stories are spreading, who is pushing them, and do they match the evidence?
Attention share by tracker, past 24 hours
Coverage over the past 72 hours 6-hour blocks
Tracker-tagged headlines from 222 public news feeds, grouped by publication time.
Who is covering it
Latest headlines Unreviewed signal
Social Pulse
Top public threads
Institutional desk 14 days
Official bodies, election organizations, research institutes, and fact-checkers.
Channel watch 72 hours
Public Telegram channels from governments, state media, newsrooms, and commentators on each side. These are records of what was said, not verification.
Video 72 hours
Uploads from 19 news channels on YouTube, including C-SPAN, PBS, CNN, Fox News, BBC, Al Jazeera, and WION.
Public attention
Indicators being built
- Narrative volume over time per tracker
- Frames and counter-frames
- Amplifier clusters and possible coordination
- Gap between social claims and verified record
- Cross-language spread
Planned data sources
- X, YouTube, Reddit, Telegram, TikTok, Bluesky, Substack (public posts only)
- GDELT
- Platform transparency reports
Social layer focus
This is the social layer feeding every other tracker
Evidence ledger
No reviewed entries yet. Headlines above are automated signal. Once The Cultured Scholar reviews and grades a claim, it appears here with its sources and grade.
Citation loads with the data.