Update README.md

README.md

@@ -12,7 +12,7 @@ tags:
 
 ## Model Description
 
-Based on [this paper](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4622514), this is the SocialBERT-social language model. A language model that is trained to better classify social texts in the ESG domain.
+Based on [this paper](https://www.sciencedirect.com/science/article/pii/S1544612324000096), this is the SocialBERT-social language model. A language model that is trained to better classify social texts in the ESG domain.
 
 Using the [SocialBERT-base](https://huggingface.co/ESGBERT/SocialBERT-base) model as a starting point, the SocialBERT-social Language Model is additionally fine-trained on a 2k social dataset to detect social text samples.
 
@@ -40,10 +40,15 @@ print(pipe("We follow rigorous supplier checks to prevent slavery and ensure wor
 ## More details can be found in the paper
 
 ```bibtex
-@article{Schimanski23ESGBERT,
-    title={{Bridiging the Gap in ESG Measurement: Using NLP to Quantify Environmental, Social, and Governance Communication}},
-    author={Tobias Schimanski and Andrin Reding and Nico Reding and Julia Bingler and Mathias Kraus and Markus Leippold},
-    year={2023},
-    journal={Available on SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4622514},
+@article{schimanski_ESGBERT_2024,
+title = {Bridging the gap in ESG measurement: Using NLP to quantify environmental, social, and governance communication},
+journal = {Finance Research Letters},
+volume = {61},
+pages = {104979},
+year = {2024},
+issn = {1544-6123},
+doi = {https://doi.org/10.1016/j.frl.2024.104979},
+url = {https://www.sciencedirect.com/science/article/pii/S1544612324000096},
+author = {Tobias Schimanski and Andrin Reding and Nico Reding and Julia Bingler and Mathias Kraus and Markus Leippold},
 }
 ```