Higher scores mean more climate misinformation. Scale: 0 to 10. 39 outlets and 1,274 articles over the last 90 days.
Measures the techniques an article uses to misinform about climate: false claims stated as fact, false balance, hidden emissions effects and missing context. Outlets are ranked by the share of their articles with a false or dismissive claim; missing context is shown beside it and does not change the order. Each article is scored from 0 (none detected) to 10 (severe).
Every article from the last 90 days is scored on the same checks. Samples under 25 articles are marked as limited, because the median can move on a few pieces. Updated 22 Oct, 18:41 UTC. How it works
Not enough Climate articles have been scored under the current methodology to name individual reporters yet. A reporter appears once at least 10 of their articles have been scored under the weights now in use, and this topic has too few of those to publish a board. It fills as new coverage is scored.
These newsrooms have scored, bylined articles in the window, spread across too many reporters for any one to reach the floor of 10. That is newsroom structure, not a gap in the data: a newsroom that rotates many reporters through a topic takes longer to put any single one on the board than one that concentrates it on a few. Each fills in as coverage accrues.
Headlines are scored against the desk, not the reporter. Subeditors write headlines, so the byline score leaves headline framing out entirely. The desk headline column is the outlet's headline score over the same articles, and it is the newsroom's number, not the writer's.
A few newsrooms under-count here for reasons that are not findings about them. Sky News, the Washington Post and the Tehran Times either leave many pieces unattributed in their own page markup or block automated reads of it, so their reporters accrue more slowly than their coverage. That is a limit of what their pages let us read, not a measure of their journalism. They are fully represented on the outlet leaderboard.
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