Omar Shaikh

MisVis: Explaining Web Misinformation Connections via Visual Summary

CHI '22 Extended Abstracts (CHI LBW), 2022

Abstract

Identifying and raising awareness about web misinformation is crucial as the Internet has become a major source of information for many people. We introduce MisVis, a web-based interactive tool that helps users better assess misinformation websites and understand their connections with other misinformation sites through visual explanations. Different from the existing techniques that primarily only focus on alerting users of misinformation, MisVis provides new ways to visualize how the site is involved in spreading information on the web and social media. Through MisVis, we contribute novel interactive visual design: Summary View helps users understand a site’s overall reliability by showing the distributions of its linked websites; Graph View presents users with the connection details of how a site is linked to other misinformation websites. In collaboration with researchers at a large security company, we are working to deploy MisVis as a web browser extension for broader impact.

Materials

Project
Demo
PDF

BibTeX

			
@inproceedings{leeMisvis2022,
author = {Lee, Seongmin and Afroz, Sadia and Park, Haekyu and Wang, Zijie J. and Shaikh, Omar and Sehgal, Vibhor and Peshin, Ankit and Chau, Duen Horng},
title = {MisVis: Explaining Web Misinformation Connections via Visual Summary},
year = {2022},
isbn = {9781450391566},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3491101.3519711},
doi = {10.1145/3491101.3519711},
booktitle = {CHI Conference on Human Factors in Computing Systems Extended Abstracts},
articleno = {228},
numpages = {6},
keywords = {interactive visualization, web misinformation, toolkit},
location = {New Orleans, LA, USA},
series = {CHI EA '22}
}