"I Came Across a Junk": Understanding Design Flaws of Data Visualization
from the Public's Perspective

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"I Came Across a Junk": Understanding Design Flaws of Data Visualization from the Public's Perspective

16 July 2024

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Papers citing ""I Came Across a Junk": Understanding Design Flaws of Data Visualization from the Public's Perspective"

8 / 8 papers shown

Title
Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering Zixin Chen Sicheng Song Kashun Shum Yanna Lin Rui Sheng Huamin Qu 92 2 0 23 Mar 2025
Protecting multimodal large language models against misleading visualizations Jonathan Tonglet Tinne Tuytelaars Marie-Francine Moens Iryna Gurevych 114 2 0 27 Feb 2025
Affective Visualization Design: Leveraging the Emotional Impact of Data Xingyu Lan Yanqiu Wu Nan Cao 127 35 0 05 Aug 2023
Misinformed by Visualization: What Do We Learn From Misinformative Visualizations? Leo Yu-Ho Lo Ayush Gupta Kento Shigyo Aoyu Wu E. Bertini Huamin Qu 49 46 0 20 Apr 2022
VizLinter: A Linter and Fixer Framework for Data Visualization Qing Chen F. Sun Xinyue Xu Zui Chen Jiazhe Wang Nan Cao 73 48 0 23 Aug 2021
Understanding Data Visualization Design Practice Paul C. Parsons AI4CE 44 32 0 17 Aug 2021
Data Changes Everything: Challenges and Opportunities in Data Visualization Design Handoff Jagoda Walny Christian Frisson Mieka West Doris Kosminsky S. Knudsen Sheelagh Carpendale Wesley Willett 50 77 0 01 Aug 2019
Data is Personal: Attitudes and Perceptions of Data Visualization in Rural Pennsylvania Evan M. Peck Sofia E. Ayuso Omar El-Etr 53 144 0 07 Jan 2019