Add relevant urls

Author: RSTZZZ

_research_directions/online-toxicity.md

@@ -45,7 +45,7 @@ logos:
 Toxic and harmful speech online is more than just unpleasant; it has widespread social and economic repercussions, particularly as it permeates social media and gaming platforms. In gaming, where toxicity affects 75% of young players, this behavior harms mental health, alienates communities, and even reduces player engagement and spending, which impacts the industry’s bottom line. Beyond financial losses, unchecked toxicity risks fostering real-world violence and inciting harmful social behaviors. Despite advances in detection methods, including AI-driven moderation, the ever-evolving nature of toxic language poses significant challenges to companies and communities alike. Addressing this problem isn’t just about improving user experience—it’s essential for maintaining safe, inclusive, and healthy online spaces.
 
 
-# Projects
+# Higlighted Publications
 
 {% include feature_row id="projects"%}
 

_research_directions/poli-sci/ideology-and-polarization.md

@@ -9,10 +9,11 @@ header:
 excerpt: ""
 
 project_1:
-  - title: "Party Prediction for Twitter "
+  - title: "Party Prediction for Twitter"
     alt: ""
     image_path: /assets/images/research_directions/poli-sci/ideology-and-polarization/party_prediction_for_twitter.jpg
-    excerpt: "Partisanship has increasingly become a major point of contention in public discourse online, and as a result, researchers have developed a variety of methods to evaluate the party affiliations of users on social media. In this paper, we evaluate the performance of party prediction tools and propose new methods that are comparable or improve upon existing works. "
+    excerpt: "Partisanship has increasingly become a major point of contention in public discourse online, and as a result, researchers have developed a variety of methods to evaluate the party affiliations of users on social media. In this paper, we evaluate the performance of party prediction tools and propose new methods that are comparable or improve upon existing works."
+    url: "https://arxiv.org/abs/2308.13699"
   - title: "InterPolar"
     alt: ""
     image_path: /assets/images/research_directions/poli-sci/ideology-and-polarization/interpolar.jpg
@@ -21,19 +22,20 @@ project_1:
     alt: ""
     image_path: /assets/images/research_directions/poli-sci/ideology-and-polarization/hyperpartisan_persian.jpg
     excerpt: "While LLMs have demonstrated how effective they can be for tasks in the English language, such as detecting social media users’ political ideology, their performance in other languages remains understudied. We contribute to this area of research by fine-tuning smaller LLMs to identify hyperpartisans in Persian social media, and compare the results to those from open-source and commercial models."
+    url: "https://www.semanticscholar.org/paper/05d76a00dd42fd5e75a7222d4479d2a35608c7a3"
 
 
 project_2:
   - title: "Regional and Temporal Patterns of Partisan Polarization during the COVID-19 Pandemic in the United States and Canada"
     alt: ""
     image_path: /assets/images/research_directions/poli-sci/ideology-and-polarization/covid-19.png
-    excerpt: "The COVID-19 pandemic sparked rigorous debate about public health measures online, as the timing and extent of interventions unfolded. This project evaluates partisanship and the geographical distribution of public opinion on lockdowns, masks, and vaccines using the U.S. and Canada as case studies. 
-"
+    excerpt: "The COVID-19 pandemic sparked rigorous debate about public health measures online, as the timing and extent of interventions unfolded. This project evaluates partisanship and the geographical distribution of public opinion on lockdowns, masks, and vaccines using the U.S. and Canada as case studies."
+    url: "https://arxiv.org/abs/2407.02807"
 ---
 
 Our research on ideology and polarization explores how digital platforms amplify partisan divides and shape political discourse across societal contexts. It focuses on understanding the expression, measurement, and impact of ideological differences in shaping public opinion, both within and across linguistic and cultural boundaries. This area highlights the interplay between technology, political behavior, and societal cohesion in an increasingly interconnected world.
 
-# Projects
+# Higlighted Publications
 
 ## Ideology Prediction
 {% include feature_row id="project_1" %}

_research_directions/poli-sci/social-simulations.md

@@ -17,6 +17,6 @@ project_1:
 
 The pernicious effects of digital manipulation campaigns can reverberate through entire societies, but evaluating them in real-world contexts is highly complex and poses ethical challenges. Through this project, we simulate a digital social environment with unprecedented control and study the properties of real world and future manipulation strategies and develop defenses against them.
 
-# Publications
+# # Higlighted Publications
 
 {% include feature_row id="project_1" type="right" %}