diff --git a/.gitattributes b/.gitattributes
new file mode 100644
index 0000000..1177560
--- /dev/null
+++ b/.gitattributes
@@ -0,0 +1,3 @@
+# correct the language detection on github
+# exclude data files from linguist analysis
+notebooks/* linguist-generated
diff --git a/README.md b/README.md
index fca56de..c721416 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,11 @@
 # Misinformation campaign analysis
 
+![License: MIT](https://img.shields.io/github/license/ssciwr/misinformation)
+![GitHub Workflow Status](https://img.shields.io/github/workflow/status/ssciwr/misinformation/CI)
+![codecov](https://img.shields.io/codecov/c/github/ssciwr/misinformation)
+![Quality Gate Status](https://sonarcloud.io/api/project_badges/measure?project=ssciwr_misinformation&metric=alert_status)
+![Language](https://img.shields.io/github/languages/top/ssciwr/misinformation)
+
 Extract data from from social media images and texts in disinformation campaigns.
 
 **_This project is currently under development!_**
@@ -28,4 +34,4 @@ There are sample notebooks in the `misinformation/notebooks` folder for you to e
 1. Facial analysis: Use the notebook `facial_expressions.ipynb` to identify if there are faces on the image, if they are wearing masks, and if they are not wearing masks also the race, gender and dominant emotion.
 1. Object analysis: Use the notebook `ojects_expression.ipynb` to identify certain objects in the image. Currently, the following objects are being identified: person, bicycle, car, motorcycle, airplane, bus, train, truck, boat, traffic light, cell phone.
 
-There are further notebooks that are currently of exploratory nature (`colors_expression` to identify certain colors on the image, `get-text-from-image` to extract text that is contained in an image.)
\ No newline at end of file
+There are further notebooks that are currently of exploratory nature (`colors_expression` to identify certain colors on the image, `get-text-from-image` to extract text that is contained in an image.)