readme updated

README.md

@@ -1,7 +1,10 @@
 # Fake News Revealer
 
-Official implementation of the "Fake News Revealer (FNR): A Similarity and Transformer-Based Approach to Detect 
-Multi-Modal Fake News in Social Media" paper [(ArXiv Link)](https://arxiv.org/pdf/2112.01131.pdf).
+Official implementation of the [("Fake News Revealer (FNR): A Similarity and Transformer-Based Approach to Detect 
+Multi-Modal Fake News in Social Media")](https://link.springer.com/article/10.1007/s13278-023-01065-0) paper .
+
+Please do not hesitate to contact me if you have any questions regarding the paper and its implementation. Here is [my email address.](mailto:[email protected])
+
 
 
 ## Requirments
@@ -37,12 +40,14 @@ python main --data "DATA NAME" --just_test "REQUESTED TRIAL NUMBER"
 Cite our paper using the following bibtex item:
 
 ```
-@misc{ghorbanpour2021fnr,
-      title={FNR: A Similarity and Transformer-Based Approach to Detect Multi-Modal Fake News in Social Media}, 
-      author={Faeze Ghorbanpour and Maryam Ramezani and Mohammad A. Fazli and Hamid R. Rabiee},
-      year={2021},
-      eprint={2112.01131},
-      archivePrefix={arXiv},
-}
+ @article{
+ ghorbanpour_ramezani_fazli_rabiee_2023, 
+ title = {FNR: A Similarity and transformer-based approach to detect multi-modal fake news in Social Media}, volume={13},
+ DOI = {10.1007/s13278-023-01065-0}, 
+ number = {1}, 
+ journal = {Social Network Analysis and Mining}, 
+ author = {Ghorbanpour, Faeze and Ramezani, Maryam and Fazli, Mohammad Amin and Rabiee, Hamid R.}, 
+ year= {2023} 
+ } 
 ```