Higher scores mean more anti-Lebanese framing. Scale: 0 to 10. 40 outlets and 951 articles over the last 90 days.
Measures anti-Lebanese framing in Lebanon coverage. 0 means none detected, 10 means 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, 19:23 UTC. How it works
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| Evidence | ||||||
|---|---|---|---|---|---|---|
| Amir BohbotThe Jerusalem Post | 4.3 | 10 | 3.0 | 1.3 above The Jerusalem Post's own median on this topic. | 3.2 | The articles |
| Elisha Ben KimonYnet News (English) | 4.1 | 25 | 3.6 | 0.5 above Ynet News (English)'s own median on this topic. | 4.1 | The articles |
| Lior Ben AriYnet News (English) | 3.8 | 15 | 3.6 | 0.1 above Ynet News (English)'s own median on this topic. | 6.0 | The articles |
| Danielle Greyman-KennardThe Jerusalem Post | 2.7 | 20 | 3.0 | 0.3 below The Jerusalem Post's own median on this topic. | 5.0 | The articles |
| Jason DitzAntiwar.com | 2.1 | 61 | 2.1 | Level with Antiwar.com's own median on this topic. | 3.5 | The articles |
| Serdar DincelAnadolu Agency (English) | 1.8 | 11 | 0.9 | 0.9 above Anadolu Agency (English)'s own median on this topic. | 3.5 | The articles |
| Tarek ChouirefAnadolu Agency (English) | 1.1 | 10 | 0.9 | 0.2 above Anadolu Agency (English)'s own median on this topic. | 3.8 | The articles |
| Sahin DemirAnadolu Agency (English) | 1.0 | 16 | 0.9 | 0.1 above Anadolu Agency (English)'s own median on this topic. | 2.9 | The articles |
| Najia HoussariArab News | 1.0 | 13 | 1.5 | 0.5 below Arab News's own median on this topic. | 6.7 | The articles |
| Mohammad SioAnadolu Agency (English) | 0.9 | 11 | 0.9 | Level with Anadolu Agency (English)'s own median on this topic. | 4.7 | The articles |
| Wassim SeifeddineAnadolu Agency (English) | 0.9 | 17 | 0.9 | Level with Anadolu Agency (English)'s own median on this topic. | 4.2 | The articles |
| Wassim Samih SeifeddineAnadolu Agency (English) | 0.8 | 22 | 0.9 | 0.1 below Anadolu Agency (English)'s own median on this topic. | 4.3 | The articles |
| Nada HomsiThe National | 0.7 | 10 | 1.6 | 0.9 below The National's own median on this topic. | 5.8 | The articles |
| Lina AltawellAnadolu Agency (English) | 0.6 | 13 | 0.9 | 0.3 below Anadolu Agency (English)'s own median on this topic. | 3.3 | The articles |
| Naim BerjawiAnadolu Agency (English) | 0.0 | 13 | 0.9 | 0.9 below Anadolu Agency (English)'s own median on this topic. | 4.8 | The articles |
Byline score is the median of that reporter's scored articles in the last 180 days. Outlet median is the same measure over everything the newsroom published on this topic in the same window, so the gap compares like with like. A reporter appears once 10 of their articles have been scored under the weights now in use.
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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