Update README.md

README.md

@@ -365,7 +365,7 @@ Modalities:
 ### Datasets Summary
 
 Misinformation is a challenging societal issue, and mitigating solutions are difficult to create due to data deficiencies. To address this problem, we have curated the largest collection of (mis)information datasets in the literature, totaling 75. From these, we evaluated the quality of all of the 36 datasets that consist of statements or claims. If you would like to contribute a novel dataset or report any issues, please email us or visit our GitHub.
-Please refer to our [paper](https://arxiv.org/abs/2104.06952) for further details.
+Please refer to our [paper](https://arxiv.org/abs/2411.05060) for further details.
 
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ab7ff5d7ee953f60535b9e/n3NfcoQpdA5r1MihK54YK.png)
 
@@ -397,11 +397,11 @@ The lab is led by [Dr. Reihaneh Rabbany](https://complexdatalabmcgill.github.io/
 
 ```
 @article{,
-  title={},
-  author={},
+  title={A Guide to Misinformation Detection Datasets},
+  author={Camille Thibault, Gabrielle Peloquin-Skulski, Jacob-Junqi Tian, Florence Laflamme, Yuxiang Guan, Reihaneh Rabbany, Jean-François Godbout, Kellin Pelrine},
   journal={ArXiv},
   year={2024},
-  volume={abs/2012.00000}
+  volume={abs/2411.05060}
 }
 ```