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Author: 5063

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Navigating Automated Hiring: Perceptions, Strategy Use, and Outcomes Among Young Job Seekers

As the use of automated employment decision tools (AEDTs) has rapidly increased in hiring contexts, especially for computing jobs, there is still limited work on applicants' perceptions of these emerging tools, and their experiences navigating them. To investigate, we conducted a survey with 448 computer science stude…

Lena Armstrong et al.University of Pennsylvania

Facilitating Equity and Fairness in Tech

Generative AI and Perceptual Harms: Who’s Suspected of using LLMs?

Large language models (LLMs) are increasingly integrated into a variety of writing tasks. While these tools can help people by generating ideas or producing higher quality work, like many other AI tools, they may risk causing a variety of harms, potentially disproportionately burdening historically marginalized group…

Kowe Kadoma et al.Cornell University

Lower Quantity, Higher Quality: Auditing News Content and User Perceptions on Twitter/X Algorithmic versus Chronological Timelines

Social media personalization algorithms increasingly influence the flow of civic information through society, resulting in concerns about "filter bubbles'', "echo chambers'', and other ways they might exacerbate ideological segregation and fan the spread of polarizing content. To address these concerns, we designed an…

Stephanie Wang et al.University of Pennsylvania

Session 2e: Echo Chambers and Fake News in Focus

The Role of Inclusion, Control, and Ownership in Workplace AI-Mediated Communication

Given large language models' (LLMs) increasing integration into workplace software, it is important to examine how biases in the models may impact workers. For example, stylistic biases in the language suggested by LLMs may cause feelings of alienation and result in increased labor for individuals or groups whose styl…

Kowe Kadoma et al.Cornell University

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Explainable Notes: Examining How to Unlock Meaning in Medical Notes with Interactivity and Artificial Intelligence

Medical progress notes have recently become available to patients at an unprecedented scale. Progress notes offer patients insight into their care that they cannot find elsewhere. That said, reading a note requires patients to contend with the language, unspoken assumptions, and clutter common to clinical documentatio…

Hita Kambhamettu et al.University of Pennsylvania

Sociotechnical Audits: Broadening the Algorithm Auditing Lens to Investigate Targeted Advertising

Algorithm audits are powerful tools for studying black-box systems without direct knowledge of their inner workings. While very effective in examining technical components, the method stops short of a sociotechnical frame, which would also consider users themselves as an integral and dynamic part of the system. Addres…

Michelle S. Lam et al.Stanford University

Online Content and Algorithms

End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior

Because algorithm audits are conducted by technical experts, audits are necessarily limited to the hypotheses that experts think to test. End users hold the promise to expand this purview, as they inhabit spaces and witness algorithmic impacts that auditors do not. In pursuit of this goal, we propose end-user audits—s…

Michelle S. Lam et al.Stanford University

Algorithmic Decision-making

End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior

Michelle S. Lam et al.Stanford University

Algorithmic Decision-making

An Image of Society: Gender and Racial Representation and Impact in Image Search Results for Occupations

Algorithmically-mediated content is both a product and creator of dominant social narratives, and it has the potential to impact users' beliefs and behaviors. We present two studies on the content and impact of gender and racial representation in image search results for common occupations. In Study 1, we compare 2020…

Danaë Metaxa et al.Stanford University

Algorithmic Auditing and Responsible AI

Random, Messy, Funny, Raw: Finstas as Intimate Reconfigurations of Social Media

Among many young people, the creation of a finsta—a portmanteau of "fake" and "Instagram" which describes secondary Instagram accounts—provides an outlet to share emotional, low-quality, or indecorous content with their close friends. To study why people create and maintain finstas, we conducted a qualitative study th…

Sijia Xiao et al.University of California

Search Media and Elections: A Longitudinal Investigation of Political Search Results

Concern about algorithmically-curated content and its impact on democracy is reaching a fever pitch worldwide. But relative to the role of social media in electoral processes, the role of search results has received less public attention. We develop a theoretical conceptualization of search results as a form of media—…

Danaë Metaxa et al.Stanford University

Political Participation and Polarization

Paper Title	Authors	Research Topics
Navigating Automated Hiring: Perceptions, Strategy Use, and Outcomes Among Young Job Seekers As the use of automated employment decision tools (AEDTs) has rapidly increased in hiring contexts, especially for computing jobs, there is still limited work on applicants' perceptions of these emerging tools, and their experiences navigating them. To investigate, we conducted a survey with 448 computer science stude…	LA Lena Armstrong et al.University of Pennsylvania	Facilitating Equity and Fairness in Tech
Generative AI and Perceptual Harms: Who’s Suspected of using LLMs? Large language models (LLMs) are increasingly integrated into a variety of writing tasks. While these tools can help people by generating ideas or producing higher quality work, like many other AI tools, they may risk causing a variety of harms, potentially disproportionately burdening historically marginalized group…	KK Kowe Kadoma et al.Cornell University
Lower Quantity, Higher Quality: Auditing News Content and User Perceptions on Twitter/X Algorithmic versus Chronological Timelines Social media personalization algorithms increasingly influence the flow of civic information through society, resulting in concerns about "filter bubbles'', "echo chambers'', and other ways they might exacerbate ideological segregation and fan the spread of polarizing content. To address these concerns, we designed an…	SW Stephanie Wang et al.University of Pennsylvania	Session 2e: Echo Chambers and Fake News in Focus
The Role of Inclusion, Control, and Ownership in Workplace AI-Mediated Communication Given large language models' (LLMs) increasing integration into workplace software, it is important to examine how biases in the models may impact workers. For example, stylistic biases in the language suggested by LLMs may cause feelings of alienation and result in increased labor for individuals or groups whose styl…	KK Kowe Kadoma et al.Cornell University
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
Explainable Notes: Examining How to Unlock Meaning in Medical Notes with Interactivity and Artificial Intelligence Medical progress notes have recently become available to patients at an unprecedented scale. Progress notes offer patients insight into their care that they cannot find elsewhere. That said, reading a note requires patients to contend with the language, unspoken assumptions, and clutter common to clinical documentatio…	HK Hita Kambhamettu et al.University of Pennsylvania
emoji_events Sociotechnical Audits: Broadening the Algorithm Auditing Lens to Investigate Targeted Advertising Algorithm audits are powerful tools for studying black-box systems without direct knowledge of their inner workings. While very effective in examining technical components, the method stops short of a sociotechnical frame, which would also consider users themselves as an integral and dynamic part of the system. Addres…	ML Michelle S. Lam et al.Stanford University	Online Content and Algorithms
End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior Because algorithm audits are conducted by technical experts, audits are necessarily limited to the hypotheses that experts think to test. End users hold the promise to expand this purview, as they inhabit spaces and witness algorithmic impacts that auditors do not. In pursuit of this goal, we propose end-user audits—s…	ML Michelle S. Lam et al.Stanford University	Algorithmic Decision-making
End-User Audits: A System Empowering Communities to Lead Large-Scale Investigations of Harmful Algorithmic Behavior Because algorithm audits are conducted by technical experts, audits are necessarily limited to the hypotheses that experts think to test. End users hold the promise to expand this purview, as they inhabit spaces and witness algorithmic impacts that auditors do not. In pursuit of this goal, we propose end-user audits—s…	ML Michelle S. Lam et al.Stanford University	Algorithmic Decision-making
An Image of Society: Gender and Racial Representation and Impact in Image Search Results for Occupations Algorithmically-mediated content is both a product and creator of dominant social narratives, and it has the potential to impact users' beliefs and behaviors. We present two studies on the content and impact of gender and racial representation in image search results for common occupations. In Study 1, we compare 2020…	DM Danaë Metaxa et al.Stanford University	Algorithmic Auditing and Responsible AI
emoji_events Random, Messy, Funny, Raw: Finstas as Intimate Reconfigurations of Social Media Among many young people, the creation of a finsta—a portmanteau of "fake" and "Instagram" which describes secondary Instagram accounts—provides an outlet to share emotional, low-quality, or indecorous content with their close friends. To study why people create and maintain finstas, we conducted a qualitative study th…	SX Sijia Xiao et al.University of California
Search Media and Elections: A Longitudinal Investigation of Political Search Results Concern about algorithmically-curated content and its impact on democracy is reaching a fever pitch worldwide. But relative to the role of social media in electoral processes, the role of search results has received less public attention. We develop a theoretical conceptualization of search results as a form of media—…	DM Danaë Metaxa et al.Stanford University	Political Participation and Polarization