Problematic machine behavior: A systematic literature review of algorithm audits
J Bandy - Proceedings of the acm on human-computer …, 2021 - dl.acm.org
While algorithm audits are growing rapidly in commonality and public importance, relatively
little scholarly work has gone toward synthesizing prior work and strategizing future research …
little scholarly work has gone toward synthesizing prior work and strategizing future research …
Social data: Biases, methodological pitfalls, and ethical boundaries
Social data in digital form—including user-generated content, expressed or implicit relations
between people, and behavioral traces—are at the core of popular applications and …
between people, and behavioral traces—are at the core of popular applications and …
[HTML][HTML] The COVID-19 social media infodemic
We address the diffusion of information about the COVID-19 with a massive data analysis on
Twitter, Instagram, YouTube, Reddit and Gab. We analyze engagement and interest in the …
Twitter, Instagram, YouTube, Reddit and Gab. We analyze engagement and interest in the …
Actionable auditing: Investigating the impact of publicly naming biased performance results of commercial ai products
ID Raji, J Buolamwini - Proceedings of the 2019 AAAI/ACM Conference …, 2019 - dl.acm.org
Although algorithmic auditing has emerged as a key strategy to expose systematic biases
embedded in software platforms, we struggle to understand the real-world impact of these …
embedded in software platforms, we struggle to understand the real-world impact of these …
Studying up machine learning data: Why talk about bias when we mean power?
Research in machine learning (ML) has argued that models trained on incomplete or biased
datasets can lead to discriminatory outputs. In this commentary, we propose moving the …
datasets can lead to discriminatory outputs. In this commentary, we propose moving the …
Discrimination through optimization: How Facebook's Ad delivery can lead to biased outcomes
The enormous financial success of online advertising platforms is partially due to the precise
targeting features they offer. Although researchers and journalists have found many ways …
targeting features they offer. Although researchers and journalists have found many ways …
Fairness in information access systems
Recommendation, information retrieval, and other information access systems pose unique
challenges for investigating and applying the fairness and non-discrimination concepts that …
challenges for investigating and applying the fairness and non-discrimination concepts that …
Media exposure and health behavior during pandemics: the mediating effect of perceived knowledge and fear on compliance with COVID-19 prevention measures
Emerging research has examined the role of media coverage of diseases in influencing
people's health behavior, particularly their compliance with prevention measures. This study …
people's health behavior, particularly their compliance with prevention measures. This study …
The four dimensions of social network analysis: An overview of research methods, applications, and software tools
Social network based applications have experienced exponential growth in recent years.
One of the reasons for this rise is that this application domain offers a particularly fertile …
One of the reasons for this rise is that this application domain offers a particularly fertile …
Cognitive biases in search: a review and reflection of cognitive biases in Information Retrieval
L Azzopardi - Proceedings of the 2021 conference on human …, 2021 - dl.acm.org
People are susceptible to an array of cognitive biases, which can result in systematic errors
and deviations from rational decision making. Over the past decade, an increasing amount …
and deviations from rational decision making. Over the past decade, an increasing amount …