Remove unused pictures

Author: RSTZZZ

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

@@ -6,36 +6,36 @@ order: 3
 header:
     overlay_filter: linear-gradient(rgba(255, 0, 0, 0.5), rgba(0, 0, 255, 1))
     overlay_image: /assets/images/research_directions/poli-sci/social_media.webp
-excerpt: ""
+excerpt: From echo chamber to public square, online environments are full of political discussion and conflict. We aim to measure and understand the evolving discourse, and ultimately, how it shapes our beliefs.
 
 project_1:
   - 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."
     url: "https://arxiv.org/abs/2308.13699"
   - title: "InterPolar"
     alt: ""
-    image_path: /assets/images/research_directions/poli-sci/ideology-and-polarization/interpolar.jpg
+
     excerpt: "Digital space has become a battleground for partisan debate, threatening the cohesion of societies by facilitating political polarization. In this work, we develop a method for measuring polarization over time using the party affiliations of, and interactions between, social media users, using the 2020 U.S. presidential election as a case study. "
   - title: "An Evaluation of Language Models for Hyperpartisan Ideology Detection in Persian Twitter"
     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
+    image_path: 
     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.
 
-# Highlighted Publications
+# Selected Publications
 
 ## Ideology Prediction
 {% include feature_row id="project_1" %}

_research_directions/poli-sci/information-integrity.md

@@ -11,23 +11,20 @@ excerpt: ""
 projects:
   - title: "Steward AI"
     alt: ""
-    image_path: /assets/images/research_directions/poli-sci/information-integrity/steward-ai.jpg
     excerpt: "The internet is full of dubious information, and it can be difficult and time-consuming to assess the veracity of everything we encounter. In this project, we are building towards an assistant that can help everyone validate information, facilitate learning, avoid harmful manipulation, and help bridge gaps to interact more productively with different groups and cultures."
   - title: "Misinfo Datasets"
     alt: ""
-    image_path: /assets/images/research_directions/poli-sci/information-integrity/misinfo.png
     excerpt: "We have curated the largest collection of datasets (75) in the literature. From these, we evaluated the quality of all of the 36 datasets that consist of statements or claims"
     url: "https://misinfo-datasets.complexdatalab.com/"
 
   - title: "Deepfake"
     alt: "Deepfake"
-    image_path: /assets/images/research_directions/poli-sci/information-integrity/deepfake.jpg
     excerpt: "Our survey experiment page on the effects of deepfakes."
 ---
 
 The information integrity project explores methods to enhance the accuracy and reliability of online information within the context of digital platforms and AI technologies. By analyzing how information is created, shared, and verified on social media and other digital ecosystems, we aim to develop tools and frameworks that support the identification of misinformation, reduce its spread, and bolster public trust in verified sources. This project contributes to our broader goal of understanding and mitigating the effects of digital misinformation on political discourse and social cohesion
 
-# Projects
+# Selected Publications
 {% include feature_row id="projects"%}
 
 <!-- # Funding -->

_research_directions/poli-sci/social-simulations.md

@@ -11,12 +11,11 @@ excerpt: ""
 project_1:
   - title: "A Simulation System Towards Solving Societal-Scale Manipulation"
     alt: ""
-    image_path: /assets/images/research_directions/poli-sci/social-simulations/social-sim.png
     excerpt: "First mixed-reality simulation system that can model both online and offline social dynamics"
 ---
 
 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.
 
-# # Higlighted Publications
+# Selected Publications
 
 {% include feature_row id="project_1" type="right" %}