Flagship Research · First Public Release · v1

Framing the News: India 2026

How Indian digital journalism frames the news — a replication of the Project for Excellence in Journalism’s landmark 1999 US study.

What this study is

We coded 575 homepage stories from 10 English-language Indian news outlets over a constructed week in June–July 2026. Every story was extracted from a dated Wayback Machine capture and carries a resolvable archive URL. The dataset, methods, and code are public.

What to know before you cite it

• This is a v1 first public release. Findings are preliminary until human inter-coder reliability (Cohen’s κ) is published.
• Frames were coded from headlines only, not full story text.
• The sample covers one fortnight. It does not represent all Indian digital journalism or all news seasons.
• Two outlets — The Wire and Times of India — could not be included due to archive-coverage failures; their exclusions are documented with evidence.
• The Rosen Transparency Index scores are published but unverified; the correlation with accountability framing is descriptive only.

Data & reproducibility

All materials needed to audit, recompute, or extend the study are available at framing.onlinejournalism.in:

• dataset_v1.json — 575 coded records with archive URLs
• METHODS_v1.md — full methods and deviations log
• sampling.py — regenerates the day draw and validation draw
• rosen_scores.json — transparency index inputs and caveats

Cite this study

OnlineJournalism.in. (2026). Framing the News: India 2026 (v1). https://framing.onlinejournalism.in/

A DOI will be added once the package is registered with Zenodo.

Last updated: 18 July 2026 · Version history