Update README.md

README.md

@@ -29,9 +29,6 @@ widget:
 Fine-tuned model in seven languages on texts from nine countries (Austria, Denmark, Germany, Ireland, Netherlands, Poland, Spain, Sweden, UK), based on [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased). Used in Erfort et al. (2023), building on the PARTYPRESS database. For the downstream task of classyfing press releases from political parties into 23 unique policy areas we achieve a performance comparable to expert human coders.
 
 
-
-
-
 ## Model description
 
 The PARTYPRESS multilingual model builds on [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) but has a supervised component. This means, it was fine-tuned using texts labeled by humans. The labels indicate 23 different political issue categories derived from the Comparative Agendas Project (CAP):
@@ -151,13 +148,19 @@ When we aggregate the shares of text for each issue, we find that the root-mean-
   author    = {Cornelius Erfort and
                Lukas F. Stoetzer and
                Heike Klüver},
-  title     = {The PARTYPRESS Database: A New Comparative Database of Parties’ Press Releases},
+  title     = {The PARTYPRESS Database: A new comparative database of parties’ press releases},
   journal   = {Research and Politics},
-  volume    = {forthcoming},
+  volume    = {10},
+  number    = {3},
   year      = {2023},
+  doi       = {10.1177/20531680231183512},
+  URL       = {https://doi.org/10.1177/20531680231183512}
+
 }
 ```
 
+Erfort, C., Stoetzer, L. F., & Klüver, H. (2023). The PARTYPRESS Database: A new comparative database of parties’ press releases. Research & Politics, 10(3). [https://doi.org/10.1177/20531680231183512](https://doi.org/10.1177/20531680231183512)
+
 ### Further resources
 
 Github: [cornelius-erfort/partypress](https://github.com/cornelius-erfort/partypress)