diff --git a/methodshub.md b/methodshub.md
index aee2a9a..b22f1b2 100644
--- a/methodshub.md
+++ b/methodshub.md
@@ -13,12 +13,12 @@ package provides functions for validating topic models using word
 intrusion, topic intrusion (Chang et al. 2009,
 <https://papers.nips.cc/paper/3700-reading-tea-leaves-how-humans-interpret-topic-models>)
 and word set intrusion (Ying et al. 2021)
-[\<doi:10.1017/pan.2021.33\>](https://doi.org/10.1017/pan.2021.33)
+[doi:10.1017/pan.2021.33](https://doi.org/10.1017/pan.2021.33)
 tests. This package also provides functions for generating gold-standard
 data which are useful for validating dictionary-based methods. The
 default settings of all generated tests match those suggested in Chang
 et al. (2009) and Song et al. (2020)
-[\<doi:10.1080/10584609.2020.1723752\>](https://doi.org/10.1080/10584609.2020.1723752).
+[doi:10.1080/10584609.2020.1723752](https://doi.org/10.1080/10584609.2020.1723752).
 
 ## Keywords
 
diff --git a/methodshub.qmd b/methodshub.qmd
index 936a742..c3b4369 100644
--- a/methodshub.qmd
+++ b/methodshub.qmd
@@ -10,7 +10,7 @@ format:
 
 <!-- - Provide a brief and clear description of the method, its purpose, and what it aims to achieve. Add a link to a related paper from social science domain and show how your method can be applied to solve that research question.   -->
 
-Intended to create standard human-in-the-loop validity tests for typical automated content analysis such as topic modeling and dictionary-based methods. This package offers a standard workflow with functions to prepare, administer and evaluate a human-in-the-loop validity test. This package provides functions for validating topic models using word intrusion, topic intrusion (Chang et al. 2009,  <https://papers.nips.cc/paper/3700-reading-tea-leaves-how-humans-interpret-topic-models>) and word set intrusion (Ying et al. 2021) [<doi:10.1017/pan.2021.33>](https://doi.org/10.1017/pan.2021.33) tests. This package also provides functions for generating gold-standard data which are useful for validating dictionary-based methods. The default settings of all generated tests match those suggested in Chang et al. (2009) and Song et al. (2020) [<doi:10.1080/10584609.2020.1723752>](https://doi.org/10.1080/10584609.2020.1723752).
+Intended to create standard human-in-the-loop validity tests for typical automated content analysis such as topic modeling and dictionary-based methods. This package offers a standard workflow with functions to prepare, administer and evaluate a human-in-the-loop validity test. This package provides functions for validating topic models using word intrusion, topic intrusion (Chang et al. 2009,  <https://papers.nips.cc/paper/3700-reading-tea-leaves-how-humans-interpret-topic-models>) and word set intrusion (Ying et al. 2021) [doi:10.1017/pan.2021.33](https://doi.org/10.1017/pan.2021.33) tests. This package also provides functions for generating gold-standard data which are useful for validating dictionary-based methods. The default settings of all generated tests match those suggested in Chang et al. (2009) and Song et al. (2020) [doi:10.1080/10584609.2020.1723752](https://doi.org/10.1080/10584609.2020.1723752).
 
 ## Keywords