1.2k citations · 2.5k across the 39 of their papers we have counts for
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Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers
Divyat Mahajan, Chenhao Tan, Amit Sharma
To construct interpretable explanations that are consistent with the original ML model, counterfactual examples---showing how the model's output changes with small perturbations to…
What Gets Echoed? Understanding the "Pointers" in Explanations of Persuasive Arguments
David Atkinson, Kumar Bhargav Srinivasan, Chenhao Tan
Explanations are central to everyday life, and are a topic of growing interest in the AI community. To investigate the process of providing natural language explanations, we levera…
Content Removal as a Moderation Strategy: Compliance and Other Outcomes in the ChangeMyView Community
Kumar Bhargav Srinivasan, Cristian Danescu-Niculescu-Mizil, Lillian Lee +1
Moderators of online communities often employ comment deletion as a tool. We ask here whether, beyond the positive effects of shielding a community from undesirable content, does c…
Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification
Vivian Lai, Jon Z. Cai, Chenhao Tan
Feature importance is commonly used to explain machine predictions. While feature importance can be derived from a machine learning model with a variety of methods, the consistency…
Intergroup Contact in the Wild: Characterizing Language Differences between Intergroup and Single-group Members in NBA-related Discussion Forums
Jason Shuo Zhang, Chenhao Tan, Qin Lv
Intergroup contact has long been considered as an effective strategy to reduce prejudice between groups. However, recent studies suggest that exposure to opposing groups in online…
Gift Contagion in Online Groups: Evidence From Virtual Red Packets
Yuan Yuan, Tracy Liu, Chenhao Tan +3
Gifts are important instruments for forming bonds in interpersonal relationships. Our study analyzes the phenomenon of gift contagion in online groups. Gift contagion encourages so…