KhabarCheckखबर चेक
← Top Stories

Ongoing story · 8 developments

Apply Online

Tracked since . Each development below is a separately scored story with its own sources — this page only groups them so the running story doesn’t crowd the main feed.

Latest development

NCERT CIET Recruitment 2026 begins for multiple contractual technical and academic posts. Apply online by July 30; interviews will be held from August 3 to August 7.

· NDTV

Share

Timeline

  1. NCERT CIET Recruitment 2026: Applications Invited For Contractual Posts; Apply By July 30

    Limited reporting451 outlets

  2. AIIMS NORCET 11 Notification Out: Apply Online For Nursing Officer Posts Till August 13

    Limited reporting442 outlets

  3. IGNOU Placement Drive Offers Up To Rs 12 Lakh Package, Apply From July 27

    Partially corroborated511 outlets

  4. Loan Fest 2026: Apply for a Bajaj Finance Personal Loan Online with Attractive Offers

    Partially corroborated511 outlets

  5. Airports Authority Of India Recruitment 2026: Applications Open For 389 Posts, Apply Link Here

    Partially corroborated511 outlets

  6. NEET PG 2026 Registration Closes Today At 11:55 PM; Apply At natboard.edu.in Before Deadline

    Limited reporting431 outlets

  7. Maharashtra FYJC CAP Round 3 Registrations Open From July 20, Last Date To Apply Is July 27

    Limited reporting491 outlets

  8. Indo-French Collaborative Research Call 2026 Open; Apply By August 31

    Partially corroborated511 outlets

Reporting confidence

45/100
Corroboration
15/40
Source reliability
21/30
Primary source
0/15
Headline check
9/15

1 independent reporting origin across 1 outlet — shared ownership, reprinted wire copy, and articles citing another outlet’s reporting count once.

Flags: sensationalized

Headline check performed by keyword heuristics. How scoring works →

Score shown is for the latest development only — each entry in the timeline has its own independent score. Grouping into this hub does not affect any individual story’s score. How hubs work →

KhabarCheck groups developments automatically by shared, specific detail — not just a shared topic — so unrelated stories that happen to mention the same name or institution don’t get lumped together. This grouping can occasionally miss a development or split one by mistake; read the method.