Website review
This review may include AI-generated content and is not individually verified. Domain, certificate and other facts come from the observed data on this page.
What is Stop Murdering Journalists?
Stop Murdering Journalists is an advocacy website that documents journalists killed in Israel's military campaigns, centered on a filterable database of named victims. Its stated position is explicit in the site's own framing: it describes the killings as a "mass-murdering spree" and labels the listed individuals "martyrs." The page is built for awareness and pressure, not neutral record-keeping.
What the page actually presents
- A running count at the top of the database (368 entries on the page).
- Filters by location (Gaza, Lebanon, West Bank, Yemen, Iran, Syria), weapon (airstrike, tank or mortar, small arms, unknown), month, and gender.
- Individual records giving a name in English and Arabic, cause of death, place, and date, sometimes with a note such as "at home."
Who it suits
A journalist, researcher, or student wanting a quick, browsable list of names and circumstances will find the filters useful for narrowing by place or date. A reader looking for verified, sourced, or independently corroborated figures should treat the site as one side's account: the entries carry no visible citation trail on the page, and the language is openly partisan.
Practical next step
If you plan to cite a specific name or figure, cross-check it against an organization that publishes methodology alongside its counts, for example the Committee to Protect Journalists at Committee to Protect Journalists or Reporters Without Borders at Reporters Without Borders. Use this site to see how one campaign frames the toll; use those to test the numbers.
How can I search the journalist database by location or weapon type?
Use the two filter menus above the database list: Location and Weapon. Pick a value from either menu—or one from each—then choose Apply Filters to narrow the list of journalists. The results keep the same card format, showing each person's name in English and Arabic, how they were killed, the place, and the date.
The available values, as listed on the page:
- Location: All Locations, Gaza, Lebanon, West Bank, Yemen, Iran, Syria
- Weapon: All Weapons, Airstrike, Unknown, Tank or Mortar, Small Arms
For example, a researcher checking a single country could set Location to Lebanon and Weapon to Airstrike to see only airstrike deaths recorded there, then read the dates in order. Someone comparing types of incidents might instead fix the location and switch the weapon filter between Airstrike, Tank or Mortar, and Small Arms to see how the counts and names change.
Two practical points. First, the page also offers Month and Gender menus, so you can combine location and weapon with a time window—useful if you want, say, airstrike deaths in Gaza during a particular month rather than across the whole record. Second, several entries note "at home" alongside the weapon, which tells you the filter is matching on a recorded cause rather than a broad category; expect some entries under Unknown where the weapon was not established. Because the list is a memorial database rather than an analytical tool, treat filtered results as a starting point for reading individual records, not as a finished tally.
If you need to verify or contextualize a name found this way, cross-check with press-freedom trackers such as Committee to Protect Journalists or Reporters Without Borders, which publish their own casualty documentation and methodology.
How are the 368 journalist deaths documented and verified?
The site presents the 368 deaths as a filterable database of individual records rather than a single claim. Each entry gives a name in English and Arabic, a location (Gaza, Lebanon, West Bank, Yemen, Iran or Syria), a cause listed as a weapon type (airstrike, tank or mortar fire, small arms, or unknown), and a date. Some entries add a detail such as "at home." Visitors can filter by location, weapon, month and gender, which makes the list auditable entry by entry and lets a reader isolate, for example, airstrike deaths in Lebanon in a given month.
The page itself does not explain its verification method. It shows the records but not the sourcing behind them—whether each name is tied to a news report, a press-freedom organization's list, a family statement or official confirmation. So the documentation is transparent at the level of the individual record, while the standard used to confirm each one is not visible on the page.
How to read the list critically
- Treat "unknown weapons" as a flag, not a gap. The filter shows this category exists; entries like that are the ones most in need of a second source.
- Cross-check a sample, not the whole list. Pick a handful of names across locations and dates and look for independent reporting on each.
- Watch the date range. Entries run into 2026, so a reader should confirm how recent records were added and whether early reports were later revised.
- Compare with established trackers. Organizations such as the Committee to Protect Journalists (Committee to Protect Journalists) and Reporters Without Borders (Reporters Without Borders) publish their own casualty counts and methodologies; comparing names and totals shows where the database aligns or diverges.
For a researcher or journalist, the practical next step is to use the filters to build a short list of cases in one location and month, then verify those names against at least one independent outlet before citing the database's total.
Which locations have the highest number of journalist casualties in the database?
The database's largest concentration is Gaza, followed by Lebanon. The visible records are dominated by entries tagged Gaza and Lebanon, with a smaller set from the West Bank and filter options for Yemen, Iran and Syria. Because the page shows a running list rather than published totals, the ranking below reflects how often each location appears in the records shown, not a verified count.
What the records show
| Location | Presence in the database | Typical recorded cause |
|---|---|---|
| Gaza | Most frequent by a clear margin | Airstrikes; some tank or mortar fire |
| Lebanon | Second most frequent | Airstrikes, several noted as "at home" |
| West Bank | Occasional entries | Often "unknown weapons" |
| Yemen, Iran, Syria | Available as filters, few or no visible entries | Not specified in the visible records |
Gaza entries cluster heavily around late 2025 and early 2026, while Lebanon entries are concentrated in spring 2026, including several members of the same family killed on the same date. That pattern matters for interpretation: a location can rank high because of one intense period rather than sustained losses across the whole timeline.
How to use this
If you need an actual count rather than an impression, apply the location filter one at a time and note the number of results the database reports for each, then compare against the full 368 total. A reader checking a specific claim—say, casualties in Lebanon in March 2026—should also filter by month, since the date range spans late 2023 to 2026 and mixing periods can inflate a location's apparent share. For context on journalist deaths worldwide, the Committee to Protect Journalists at CPJ maintains its own documentation.
How can I use the date filters to track journalist deaths over time?
On Stop Murdering Journalists, the Month filter narrows the database of 368 recorded journalist deaths to a single month, and combining it with the Location and Weapon filters turns the list into a time-based view. The month list runs from October 2023 to September 2026, so you can step through it chronologically and note how many names appear in each period, then check which locations and weapons dominate.
Practical ways to use it
- Build a month-by-month count. Select one month at a time with the other filters set to "All," and record the number of entries. Doing this across the full range gives you a rough timeline of when deaths clustered.
- Compare locations over the same window. Set Location to Gaza, then Lebanon, then the West Bank, and step through the same months for each. This shows whether a spike in one place coincides with calm or escalation elsewhere.
- Isolate weapon types. Pair a month with "Airstrike" or "Tank or Mortar" to see whether the cause of death shifts over time, and use "Unknown" as a signal of how much the record leaves unresolved.
- Check the "at home" detail. Several entries note deaths "at home"; filtering by month and reading individual entries lets you count how often that appears in a given period.
Limits to keep in mind
The filter returns entries dated to that month, not a computed total, so you count names yourself. The dataset is a campaign record rather than an independent statistical series, and entries with "Unknown Weapons" or missing detail mean month-to-month comparisons carry uncertainty. Treat counts as indicative of the pattern the site documents, not as a verified census.
A useful next step: pick three months with visibly different entry counts, apply the same Location filter to each, and compare the weapon breakdowns. That single comparison will tell you quickly whether the date filter is giving you a meaningful trend or just reflecting uneven recording.
What patterns in weapon types used against journalists does the database reveal?
The database is dominated by airstrikes. Of the entries shown, the large majority list "Killed by an Airstrike," with a smaller cluster of "Tank or Mortar Fire" and "Unknown Weapons," and only isolated cases of small arms. Geographically, the airstrike pattern is strongest in Gaza and Lebanon, while the West Bank entries shown are more often logged as unknown weapons rather than a specific munition.
What the filter structure shows
The page offers three filters that make these patterns checkable rather than impressionistic:
- Location: Gaza, Lebanon, West Bank, Yemen, Iran, Syria
- Weapon: Airstrike, Unknown, Tank or Mortar, Small Arms
- Gender and month: allowing comparison across time and between male and female victims
A reader testing the pattern would set Weapon to "Airstrike" and toggle Location between Gaza and Lebanon, then compare counts; setting Weapon to "Unknown" shows where attribution is weakest.
Reading the pattern with care
Two cautions matter. First, "Unknown Weapons" is a residual category, so a low airstrike count for a location may reflect reporting gaps rather than a different targeting pattern. Second, the page's framing is advocacy, not neutral data presentation; the counts are the site's own compilation, and the "at home" annotations suggest many victims were killed in residential settings, which is a detail worth tracking separately from weapon type.
For a concrete next step, a researcher or journalist could filter by month to see whether airstrike entries cluster around particular escalations, and cross-check individual names against reporting from established outlets such as Committee to Protect Journalists or Reporters Without Borders, which maintain their own casualty records and may classify causes differently.
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