Update README.md

README.md

@@ -356,4 +356,20 @@ https://figshare.com/articles/dataset/PHEME_dataset_of_rumours_and_non-rumours/4
 was used in creation of this dataset. We took source tweets only, and ignored replies to them. 
 We used source tweet's label as being a rumour or non-rumour to label it as deceptive or non-deceptive.
 
-The training set contains 4631 samples, the validation and the test sets have 579 samples each
+The training set contains 4631 samples, the validation and the test sets have 579 samples each
+
+## Citation Information
+
+If you use any of these resources, please cite our dataset DIFrauD paper:
+
+    @inproceedings{boumber-etal-2024-domain,
+    title = "Domain-Agnostic Adapter Architecture for Deception Detection: Extensive Evaluations with the {DIF}rau{D} Benchmark",
+    author = "Boumber, Dainis A.  and Qachfar, Fatima Zahra  and Verma, Rakesh",
+    editor = "Calzolari, Nicoletta  and Kan, Min-Yen  and Hoste, Veronique  and Lenci, Alessandro  and Sakti, Sakriani  and Xue, Nianwen",
+    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
+    month = may,
+    year = "2024",
+    address = "Torino, Italia",
+    publisher = "ELRA and ICCL",
+    url = "https://aclanthology.org/2024.lrec-main.468",
+    pages = "5260--5274"}