activity
20202025
most citedGeoLinter: A Linting Framework for Choropleth Maps

11 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2025

Skeptik: A Hybrid Framework for Combating Potential Misinformation in Journalism

Arlen Fan, Fan Lei, Steven R. Corman +1

The proliferation of misinformation in journalism, often stemming from flawed reasoning and logical fallacies, poses significant challenges to public understanding and trust in new…

cs.PF2025★ 3 cited

Do LLMs Have Visualization Literacy? An Evaluation on Modified Visualizations to Test Generalization in Data Interpretation

Jiayi Hong, Christian Seto, Arlen Fan +1

In this paper, we assess the visualization literacy of two prominent Large Language Models (LLMs): OpenAI's Generative Pretrained Transformers (GPT), the backend of ChatGPT, and Go…

cs.HC2024

Understanding Reader Takeaways in Thematic Maps Under Varying Text, Detail, and Spatial Autocorrelation

Arlen Fan, Fan Lei, Michelle Mancenido +2

Maps are crucial in conveying geospatial data in diverse contexts such as news and scientific reports. This research, utilizing thematic maps, probes deeper into the underexplored…

cs.HC2023★ 11 cited

GeoLinter: A Linting Framework for Choropleth Maps

Fan Lei, Arlen Fan, Alan M. MacEachren +1

Visualization linting is a proven effective tool in assisting users to follow established visualization guidelines. Despite its success, visualization linting for choropleth maps,…

cs.HC2020★ 2 cited

A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes

Yuxin Ma, Arlen Fan, Jingrui He +2

Many statistical learning models hold an assumption that the training data and the future unlabeled data are drawn from the same distribution. However, this assumption is difficult…