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- 2023
- Article
On the Impact of Actionable Explanations on Social Segregation
By: Ruijiang Gao and Himabindu Lakkaraju
As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research... View Details
Gao, Ruijiang, and Himabindu Lakkaraju. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
- May 2021
- Article
Ideology and Composition Among an Online Crowd: Evidence From Wikipedians
By: Shane Greenstein, Grace Gu and Feng Zhu
Online communities bring together participants from diverse backgrounds and often face challenges in aggregating their opinions. We infer lessons from the experience of individual contributors to Wikipedia articles about U.S. politics. We identify two factors that... View Details
Keywords: User Segregation; Online Community; Contested Knowledge; Collective Intelligence; Ideology; Bias; Wikipedia; Knowledge Sharing; Perspective; Government and Politics
Greenstein, Shane, Grace Gu, and Feng Zhu. "Ideology and Composition Among an Online Crowd: Evidence From Wikipedians." Management Science 67, no. 5 (May 2021): 3067–3086.
- May, 2019
- Article
Who Would You Like to Work With?: Use of Individual Characteristics and Social Networks in Team Formation Systems
By: Diego Gomez-Zara, Matthew Paras, Marlon Twyman, Jacqueline N. Lane, Leslie A. DeChurch and Noshir Contractor
People and organizations are increasingly using online platforms to assemble teams. In response, HCI researchers have theorized frameworks and created systems to support team assembly. However, little is known about how users search for and choose teammates on these... View Details
Gomez-Zara, Diego, Matthew Paras, Marlon Twyman, Jacqueline N. Lane, Leslie A. DeChurch, and Noshir Contractor. "Who Would You Like to Work With? Use of Individual Characteristics and Social Networks in Team Formation Systems." Art. 659. CHI Conference on Human Factors in Computing Systems Proceedings (May, 2019).