Explaining Website Reliability by Visualizing Hyperlink Connectivity
Seongmin Lee, Sadia Afroz, Haekyu Park, Zijie J. Wang, Omar Shaikh,, Vibhor Sehgal, Ankit Peshin, Duen Horng Chau

TL;DR
MisVis is an interactive visualization tool that helps users assess website reliability by visualizing hyperlink connectivity and summarizing related Twitter accounts, aiding in understanding the spread of false information online.
Contribution
This paper introduces MisVis, a novel web-based visualization tool that explains website reliability and misinformation spread through hyperlink and social media analysis.
Findings
MisVis improves users' ability to assess website reliability.
Node-link diagrams effectively communicate complex web connectivity.
User study shows MisVis aids non-experts in understanding misinformation.
Abstract
As the information on the Internet continues growing exponentially, understanding and assessing the reliability of a website is becoming increasingly important. Misinformation has far-ranging repercussions, from sowing mistrust in media to undermining democratic elections. While some research investigates how to alert people to misinformation on the web, much less research has been conducted on explaining how websites engage in spreading false information. To fill the research gap, we present MisVis, a web-based interactive visualization tool that helps users assess a website's reliability by understanding how it engages in spreading false information on the World Wide Web. MisVis visualizes the hyperlink connectivity of the website and summarizes key characteristics of the Twitter accounts that mention the site. A large-scale user study with 139 participants demonstrates that MisVis…
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Taxonomy
TopicsMisinformation and Its Impacts · Social Media and Politics · Complex Network Analysis Techniques
