Deutsche Welle

Canonical URL

https://www.dw.com/en/climate-change-india-harvest-festival-crops-extreme-weather-global-food-security/a-76821351?maca=en-rss-en-all-1573-rdf

Cited in our articles

1 article

Last scored

Not yet scored

Outlet ID

efac8e5a-9202-427d-a042-07a1b033f164

1. C-74547d“Vaisakhi is a festival in Punjab, India, that marks the successful growth of winter wheat and crops like mustard, chickpeas, lentils, barley and sunflower seeds.”Cited →
2. C-a05bc8“Punjab produces 10% of India's wheat and 15% of its rice.”Cited →
3. C-4bd283“Bohag Bihu in Assam marks the transition from the dry season to the onset of the agricultural cycle with singing, dancing and rituals focusing on cattle care.”Cited →
4. C-e087cf“In Assam, about 20,000 acres of crops have been lost to floods and hailstorms over the past year, linked by the regional government to hydrometeorological disasters.”Cited →
5. C-c8193a“Unseasonal rain and hailstorms have damaged wheat crops across more than 135,000 acres in seven districts of Punjab this month.”Cited →
6. C-532621“Since 2020, 1.32 million acres of crops in Assam have been damaged by floods, storms or hailstorms.”Cited →
7. C-5f74b1“Assam officials say they and the central government have released $439 million to support farmers affected by climate-related disasters.”Cited →
8. C-4f2e2c“The widespread practice of rotating between wheat and rice crops in Punjab has led to groundwater depletion, exacerbated by free electricity encouraging excessive pumping.”Cited →

The reliability score above is a weighted mean over these twelve axes. The bias score uses a separate but equally-public 12-axis rubric. Per-axis breakdowns are written by the bias_scorer agent into sources.axes; the keys below are the axis names as documented in the agent prompt.

1. Axis 01
   Primary sourcing

   Cites filings, official statements, direct interviews; uses 'reportedly' rarely.

2. Axis 02
   Correction transparency

   Issues visible corrections; surfaces them above the article body, not in 8pt at the bottom.

3. Axis 03
   Conflict-of-interest disclosure

   Names ownership, sponsorships, and reporter conflicts inline.

4. Axis 04
   Headline–body alignment

   Headlines match the strongest claim the body actually supports; no rage-bait variance.

5. Axis 05
   Quote attribution

   Names speaker and venue; avoids anonymous quotes for attributable claims.

6. Axis 06
   Numeracy

   Numbers shown with denominators, time-windows, and units; ratios not confused with percentages.

7. Axis 07
   Beat depth

   Reporters cover beats long enough to recognize narrative drift in their own coverage.

8. Axis 08
   Geographic balance

   Coverage doesn't over-index on the home market when the story is global.

9. Axis 09
   Counter-perspective

   Includes the strongest version of the argument it disagrees with, not the weakest.

10. Axis 10
    Aggregation discipline

    When citing other outlets, names them and links them; doesn't launder reporting.

11. Axis 11
    Speculation flag

    Marks analysis and opinion separately from reporting.

12. Axis 12
    Editorial independence

    Newsroom shielded from advertiser, ownership, and government influence in observable behavior.

Per-axis breakdown not yet recorded for this outlet — the bias_scorer agent writes axes on its next re-score.