diff --git a/qdrant-landing/content/use-cases/advertising.md b/qdrant-landing/content/use-cases/advertising.md
index 5b1bd4510..8fde714ac 100644
--- a/qdrant-landing/content/use-cases/advertising.md
+++ b/qdrant-landing/content/use-cases/advertising.md
@@ -6,4 +6,4 @@ sitemapExclude: True
 
 User interests cannot be described with rules, and that's where neural networks come in. 
 Qdrant vector database will allow sufficient flexibility in neural network recommendations so that each user sees only the relevant ad.
-Advanced filtering mechanisms, such as geo-location, do not compromise on speed and accuracy, which is especially important for online advertising. Check out [research article by Twitter](https://www.sciencedirect.com/science/article/abs/pii/S0925231217308445).
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+Advanced filtering mechanisms, such as geo-location, do not compromise on speed and accuracy, which is especially important for online advertising.
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