Update README.md

README.md

@@ -27,20 +27,24 @@ This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggin
 
 # How to use
 
-<pre><code>```python from transformers import pipeline classifier = pipeline("text-classification", model="your-username/unga-climate-classifier") text = "Climate change poses a fundamental threat to our future." result = classifier(text) print(result) ```</code></pre>
+```python 
+from transformers import pipeline classifier = pipeline("text-classification", model="your-username/unga-climate-classifier") text = "Climate change poses a fundamental threat to our future." result = classifier(text) print(result)
+```
+
+# how to cite
 
 If you use this model or the underlying dataset or indicator, please cite:
 
-> [Authors’ Names]. "Executive Climate Change Attention: Toward an Indicator Based on Political Speech." *Global Environmental Politics* (2024). [https://doi.org/10.1162/glep.a.1/131712](https://doi.org/10.1162/glep.a.1/131712)
+> Emiliano Grossman, Malo Jan; Executive Climate Change Attention: Toward an Indicator of Comparative Climate Change Attention. Global Environmental Politics 2025; doi: https://doi-org.scpo.idm.oclc.org/10.1162/glep.a.1
 
 ```bibtex
-@article{author2024executive,
-  title={Executive Climate Change Attention: Toward an Indicator Based on Political Speech},
-  author={LastName, FirstName and Coauthor, AnotherName},
+@article{grossman2025executive,
+  title={Executive Climate Change Attention: Toward an Indicator of Comparative Climate Change Attention},
+  author={Grossman, Emiliano and Jan, Malo},
   journal={Global Environmental Politics},
-  year={2024},
-  publisher={MIT Press},
-  doi={10.1162/glep.a.1/131712}
+  pages={1--14},
+  year={2025},
+  publisher={MIT Press 255 Main Street, 9th Floor, Cambridge, Massachusetts 02142, USA~…}
 }
 ```
 It achieves the following results on the evaluation set: