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From Reflection to Repair: A Scoping Review of Dataset Documentation Tools

Dataset documentation is widely recognized as essential for the responsible development of automated systems. Despite growing efforts to support documentation through different kinds of artifacts, little is known about the motivations shaping documentation tool design or the factors hindering their adoption. We presen…

Pedro Reynolds-Cuéllar et al.Massachusetts Institute of Technology

Red Teaming LLMs as Socio-Technical Practice: From Exploration and Data Creation to Evaluation

Recently, red teaming, with roots in security, has become a key evaluative approach to ensure the safety and reliability of Generative Artificial Intelligence. However, most existing work emphasizes technical benchmarks and attack success rates, leaving the socio-technical practices of how red teaming datasets are def…

Adriana Alvarado Garcia et al.IBM

Who Gets to Define Safety? A Systematic Review of How Generative AI Research Addresses Youth Online Safety

Generative AI is rapidly reshaping young people’s digital experiences, from providing emotional support to introducing new dimensions of risks. Yet, existing safety frameworks are not equipped to handle the unique risks posed by GenAI. To investigate how youth safety is being addressed in this new landscape, we conduc…

Ozioma Collins Oguine et al.University of Notre Dame

Online Safety for All: Sociocultural Insights from a Systematic Review of Youth Online Safety in the Global South

Youth online safety research in HCI has historically centered on perspectives from the Global North, often overlooking the unique particularities and cultural contexts of regions in the Global South. This paper presents a systematic review of 66 youth online safety studies published between 2014 and 2024, specifically…

Ozioma Collins Oguine et al.University of Notre Dame

Trust, Safety, and Privacy in Online Communities

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Emerging Data Practices: Data Work in the Era of Large Language Models

Data is one of the foundational aspects of making Artificial Intelligence (AI) work as intended. As large language models (LLMs) become the epicenter of AI, it is crucial to understand better how the datasets that maintain such models are created. The emergent nature of LLMs makes it critical to understand the challe…

Adriana Alvarado Garcia et al.IBM

Bitacora: A Toolkit for Supporting NonProfits to Critically Reflect on Social Media Data Use

In this paper, we describe the design and evaluation of the toolkit Bitacora, addressed to practitioners working in non-profit organizations interested in integrating Twitter data into their work. The toolkit responds to the call to maintain the locality of data by promoting a qualitative and contextualized approach t…

Adriana Alvarado Garcia et al.IBM

Mobilizing Social Media Data: Reflections of a Researcher Mediating between Data and Organization

This paper examines the practices involved in mobilizing social media data from their site of production to the institutional context of non-profit organizations. We report on nine months of fieldwork with a transnational and intergovernmental organization using social media data to understand the role of grassroots i…

Adriana Alvarado Garcia et al.IBM

Documenting Data Production Processes: A Participatory Approach for Data Work

The opacity of machine learning data is a significant threat to ethical data work and intelligible systems. Previous research has addressed this issue by proposing standardized checklists to document datasets. This paper expands that field of inquiry by proposing a shift of perspective: from documenting datasets towar…

Milagros Miceli et al.Technical University of Berlin

Data Work; Data Work

Data Migrations: Exploring the Use of Social Media Data as Evidence for Human Rights Advocacy

Social media platforms offer a rich repository of crowdsourced information that has the potential to monitor human rights violations. The challenge is to quantify, interpret, and situate such unstructured data streams in the broader context, which remains under-investigated in existing CSCW research. Addressing these…

Adriana Alvarado Garcia et al.IBM

Civic Engagement and Politics

On Making Data Actionable: How Activists Use Imperfect Data to Foster Social Change for Human Rights Violations in Mexico

In this paper, we examine how activist organizations, focused on human rights violations (HRVs) in Mexico, obtain and translate data to produce actionable insight for social change. Through interviews with 15 participants working in think tanks, human rights centers, non-governmental organizations, and nonprofit organ…

Adriana Alvarado Garcia et al.IBM

Data in Diverse Settings

Quotidian Report: Grass-roots Data Practices to Address Public Safety

We examine the local data practices of citizens in Mexico who use Facebook sites as a platform to report crimes and share safety-related information. We conducted 14 interviews with a variety of participants who collaborate as administrators and contributors of these online communities. The communities we examined hav…

Adriana Alvarado Garcia et al.IBM

Sustainability and Local Action

Paper Title	Authors	Research Topics
From Reflection to Repair: A Scoping Review of Dataset Documentation Tools Dataset documentation is widely recognized as essential for the responsible development of automated systems. Despite growing efforts to support documentation through different kinds of artifacts, little is known about the motivations shaping documentation tool design or the factors hindering their adoption. We presen…	PR Pedro Reynolds-Cuéllar et al.Massachusetts Institute of Technology
emoji_events Red Teaming LLMs as Socio-Technical Practice: From Exploration and Data Creation to Evaluation Recently, red teaming, with roots in security, has become a key evaluative approach to ensure the safety and reliability of Generative Artificial Intelligence. However, most existing work emphasizes technical benchmarks and attack success rates, leaving the socio-technical practices of how red teaming datasets are def…	AG Adriana Alvarado Garcia et al.IBM
Who Gets to Define Safety? A Systematic Review of How Generative AI Research Addresses Youth Online Safety Generative AI is rapidly reshaping young people’s digital experiences, from providing emotional support to introducing new dimensions of risks. Yet, existing safety frameworks are not equipped to handle the unique risks posed by GenAI. To investigate how youth safety is being addressed in this new landscape, we conduc…	OO Ozioma Collins Oguine et al.University of Notre Dame
Online Safety for All: Sociocultural Insights from a Systematic Review of Youth Online Safety in the Global South Youth online safety research in HCI has historically centered on perspectives from the Global North, often overlooking the unique particularities and cultural contexts of regions in the Global South. This paper presents a systematic review of 66 youth online safety studies published between 2014 and 2024, specifically…	OO Ozioma Collins Oguine et al.University of Notre Dame	Trust, Safety, and Privacy in Online Communities
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
Emerging Data Practices: Data Work in the Era of Large Language Models Data is one of the foundational aspects of making Artificial Intelligence (AI) work as intended. As large language models (LLMs) become the epicenter of AI, it is crucial to understand better how the datasets that maintain such models are created. The emergent nature of LLMs makes it critical to understand the challe…	AG Adriana Alvarado Garcia et al.IBM
Bitacora: A Toolkit for Supporting NonProfits to Critically Reflect on Social Media Data Use In this paper, we describe the design and evaluation of the toolkit Bitacora, addressed to practitioners working in non-profit organizations interested in integrating Twitter data into their work. The toolkit responds to the call to maintain the locality of data by promoting a qualitative and contextualized approach t…	AG Adriana Alvarado Garcia et al.IBM
Mobilizing Social Media Data: Reflections of a Researcher Mediating between Data and Organization This paper examines the practices involved in mobilizing social media data from their site of production to the institutional context of non-profit organizations. We report on nine months of fieldwork with a transnational and intergovernmental organization using social media data to understand the role of grassroots i…	AG Adriana Alvarado Garcia et al.IBM
Documenting Data Production Processes: A Participatory Approach for Data Work The opacity of machine learning data is a significant threat to ethical data work and intelligible systems. Previous research has addressed this issue by proposing standardized checklists to document datasets. This paper expands that field of inquiry by proposing a shift of perspective: from documenting datasets towar…	MM Milagros Miceli et al.Technical University of Berlin	Data Work; Data Work
Data Migrations: Exploring the Use of Social Media Data as Evidence for Human Rights Advocacy Social media platforms offer a rich repository of crowdsourced information that has the potential to monitor human rights violations. The challenge is to quantify, interpret, and situate such unstructured data streams in the broader context, which remains under-investigated in existing CSCW research. Addressing these…	AG Adriana Alvarado Garcia et al.IBM	Civic Engagement and Politics
On Making Data Actionable: How Activists Use Imperfect Data to Foster Social Change for Human Rights Violations in Mexico In this paper, we examine how activist organizations, focused on human rights violations (HRVs) in Mexico, obtain and translate data to produce actionable insight for social change. Through interviews with 15 participants working in think tanks, human rights centers, non-governmental organizations, and nonprofit organ…	AG Adriana Alvarado Garcia et al.IBM	Data in Diverse Settings
Quotidian Report: Grass-roots Data Practices to Address Public Safety We examine the local data practices of citizens in Mexico who use Facebook sites as a platform to report crimes and share safety-related information. We conducted 14 interviews with a variety of participants who collaborate as administrators and contributors of these online communities. The communities we examined hav…	AG Adriana Alvarado Garcia et al.IBM	Sustainability and Local Action