Islamophobia in the 2024 New York Mayoral Race

What This Report Is

The Center for Study of Organized Hate (CSOH) published this report in 2024. It claims to document Islamophobic social media content targeting Zohran Mamdani during the New York City mayoral race. The report tracked 35,522 posts from 17,752 authors.

What We Looked At

How a study is done determines whether you can trust what it found. The Citation Integrity Dashboard (CID) evaluates methodology — which means how the research was conducted. We do not evaluate whether the report’s conclusions are right or wrong. We classified this report as an Incident Tracker, which means it collects and counts individual events from media or online platforms.

What We Found

The biggest problem: the numbers don’t mean what they look like.

This report’s headline finding is a 450% increase in Islamophobic content. It also reports that 72% of posts used extremist framing. Both numbers sound alarming. Both are misleading without context.

Here is why. The researchers started by collecting posts they had already classified as Islamophobic. Then they calculated percentages within that collection. The 450% increase means they found more posts in their Islamophobic pile over time. It does not mean 450% more of all political talk about Mamdani was hateful. There is no count of total political content to compare against. Without that baseline, you cannot know whether the pattern is unusual. We scored Case Capture and Sampling (which measures whether the data can support the claims being made) at 4 out of 10.

No one checked whether the classifications were consistent.

Two researchers classified all 35,522 posts. They never tested whether they agreed with each other. If you handed the same posts to two different people, you have no way to know whether they would sort them the same way. To the report’s credit, it says so openly. Most reports in this score range do not admit this gap. We scored Classification Rigor (which measures whether the sorting process is reliable and repeatable) at 5 out of 10.

Only one candidate was monitored.

The report tracked Islamophobic content about Mamdani. It did not track similar content about other mayoral candidates. That means you cannot tell whether the patterns it found are specific to anti-Muslim bias or common across all campaigns. We scored Coverage Symmetry (which measures whether the report’s scope matches its claims) at 5 out of 10.

You cannot check the work.

The report does not archive the social media posts it analyzed. It does not provide a way to download or request the data. If you wanted to verify any individual finding, you could not do so from the published materials. We scored Verification Standards (which measures whether an outsider can check the data) at 5 out of 10.

The Bottom Line

This report scored 5.3 out of 10. That places it in the Deficient grade band, which means significant methodological gaps that compromise reliability. No non-compensatory cap (an automatic score limit triggered by critical failures) was applied. The report’s core weakness is presenting statistics from a pre-filtered dataset as if they describe the broader world. Its core strength is honesty about its own limitations — a quality rarer than it should be. This score reflects methodology only. The report’s findings about Islamophobia in the mayoral race may be correct even though its methods cannot prove it.