158 citations · 555 across the 14 of their papers we have counts for
14 papers
VISPUR: Visual Aids for Identifying and Interpreting Spurious Associations in Data-Driven Decisions
Xian Teng, Yongsu Ahn, Yu-Ru Lin
Big data and machine learning tools have jointly empowered humans in making data-driven decisions. However, many of them capture empirical associations that might be spurious due t…
ESCAPE: Countering Systematic Errors from Machine's Blind Spots via Interactive Visual Analysis
Yongsu Ahn, Yu-Ru Lin, Panpan Xu +1
Classification models learn to generalize the associations between data samples and their target classes. However, researchers have increasingly observed that machine learning prac…
Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models
Meiqi Guo, Rebecca Hwa, Yu-Ru Lin +1
We investigate the impact of political ideology biases in training data. Through a set of comparison studies, we examine the propagation of biases in several widely-used NLP models…
Data-driven Computational Social Science: A Survey
Jun Zhang, Wei Wang, Feng Xia +2
Social science concerns issues on individuals, relationships, and the whole society. The complexity of research topics in social science makes it the amalgamation of multiple disci…
FairSight: Visual Analytics for Fairness in Decision Making
Yongsu Ahn, Yu-Ru Lin
Data-driven decision making related to individuals has become increasingly pervasive, but the issue concerning the potential discrimination has been raised by recent studies. In re…
CASTNet: Community-Attentive Spatio-Temporal Networks for Opioid Overdose Forecasting
Ali Mert Ertugrul, Yu-Ru Lin, Tugba Taskaya-Temizel
Opioid overdose is a growing public health crisis in the United States. This crisis, recognized as "opioid epidemic," has widespread societal consequences including the degradation…