activity
20182026
most citedOn Microtargeting Socially Divisive Ads: A Case Study of Russia-Linked Ad Campaigns on Facebook

94 citations · 238 across the 16 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.HC2023★ 1 cited

Using Audio Data to Facilitate Depression Risk Assessment in Primary Health Care

Adam Valen Levinson, Abhay Goyal, Roger Ho Chun Man +7

Telehealth is a valuable tool for primary health care (PHC), where depression is a common condition. PHC is the first point of contact for most people with depression, but about 25…

cs.CE2023

Predicting Opioid Use Outcomes in Minoritized Communities

Abhay Goyal, Nimay Parekh, Lam Yin Cheung +8

Machine learning algorithms can sometimes exacerbate health disparities based on ethnicity, gender, and other factors. There has been limited work at exploring potential biases wit…

cs.HC2023★ 51 cited

Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?

Shreya Chowdhary, Anna Kawakami, Mary L. Gray +3

Sensing technologies deployed in the workplace can unobtrusively collect detailed data about individual activities and group interactions that are otherwise difficult to capture. A…

cs.HC2023

Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders

Anna Kawakami, Shreya Chowdhary, Shamsi T. Iqbal +4

With the heightened digitization of the workplace, alongside the rise of remote and hybrid work prompted by the pandemic, there is growing corporate interest in using passive sensi…

cs.CY2023★ 1 cited

Mental Health Coping Stories on Social Media: A Causal-Inference Study of Papageno Effect

Yunhao Yuan, Koustuv Saha, Barbara Keller +2

The Papageno effect concerns how media can play a positive role in preventing and mitigating suicidal ideation and behaviors. With the increasing ubiquity and widespread use of soc…

cs.HC2023★ 80 cited

Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI

Upol Ehsan, Koustuv Saha, Munmun De Choudhury +1

Explainable AI (XAI) systems are sociotechnical in nature; thus, they are subject to the sociotechnical gap--divide between the technical affordances and the social needs. However,…