CSMR faculty and affiliates unpack the challenges of public media, along with solutions for consumers, producers, and platforms. Part of the U-M’s Dissonance event series.
When people disclose sensitive information, audience responses can substantially impact the discloser’s wellbeing. We illustrate what types of support sought and provided in posts and comments co-occur.
Today’s privacy notices and controls are surprisingly ineffective at informing users or allowing them to express choice. We analyze why.
Iffy Quotient can draw attention to issues that platforms may not be tracking / prioritizing, while creating public legitimacy for claims that platforms make about how well they are meeting public responsibilities.
Researchers at CSMR built machine learning (ML) tools to label accounts still operating today as possible Russian trolls.
CSRM researchers investigate the impact of conversation threading on user retention as mediated by several potential changes in conversation structure and style.
To best facilitate online transition work, Social Media platforms should be designed to foster social connectivity while acknowledging the importance of platform separation.
A cross-university and cross-industry partnership to develop “algorithm audits”: new methods to provide accountability to automated decision-making on social media platforms.