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Author: 18789

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“Helping Me Versus Doing It for Me”: Designing for Agency in LLM-Infused Writing Tools for Science Journalism

Journalists rely on their agency---the ability to exercise independent judgment in alignment with their values---to fulfill their democratic social role. In this study, we investigate how LLM-infused writing tools reshape journalists' agency in editorial decision making. In interviews with 20 science journalists, we p…

Sachita Nishal et al.Northwestern University

Values as Problems, Principles, and Tensions in Sociotechnical System Design for Journalism

Through a systematic review of design contributions in journalism, this work examines how domain-specific values shape sociotechnical systems for newswork. We illustrate the different ways in which values define design problems and act as guiding principles for solutions. For instance, the value ``accountability'' fun…

Sachita Nishal et al.Northwestern University

Understanding Practices around Computational News Discovery Tools in the Domain of Science Journalism

Science and technology journalists today face challenges in finding newsworthy leads due to increased workloads, reduced resources, and expanding scientific publishing ecosystems. Given this context, we explore computational methods to aid these journalists' news discovery in terms of time-efficiency and agency. \text…

Sachita Nishal et al.Northwestern University

Session 2b: Algorithms in the Workplace

In Dice We Trust: Uncertainty Displays for Maintaining Trust in Election Forecasts Over Time

Trust in high-profile election forecasts influences the public’s confidence in democratic processes and electoral integrity. Yet, maintaining trust after unexpected outcomes like the 2016 U.S. presidential election is a significant challenge. Our work confronts this challenge through three experiments that gauge trust…

Fumeng Yang et al.Northwestern University

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AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models

News media often leverage documents to find ideas for stories, while being critical of the frames and narratives present. Developing angles from a document such as a press release is a cognitively taxing process, in which journalists critically examine the implicit meaning of its claims. Informed by interviews with jo…

Savvas Petridis et al.Columbia University

From Crowd Ratings to Predictive Models of Newsworthiness to Support Science Journalism

The scale of scientific publishing continues to grow, creating overload on science journalists who are inundated with choices for what would be most interesting, important, and newsworthy to cover in their reporting. This work addresses this problem by considering the viability of creating a predictive model of newswo…

Sachita Nishal et al.Northwestern University

Crowdsourcing; Crowdsourcing

Auditing the Information Quality of News-Related Queries on the Alexa Voice Assistant

Smart speakers are becoming increasingly ubiquitous in society and are now used for satisfying a variety of information needs, from asking about the weather or traffic to accessing the latest breaking news information. Their growing use for news and information consumption presents new questions related to the quality…

Henry Kudzanai Dambanemuya et al.Northwestern University

Algorithmic Auditing and Responsible AI

More Accounts, Fewer Links: How Algorithmic Curation Impacts Media Exposure in Twitter Timelines

Algorithmic timeline curation is now an integral part of Twitter's platform, affecting information exposure for more than 150 million daily active users. Despite its large-scale and high-stakes impact, especially during a public health emergency such as the COVID-19 pandemic, the exact effects of Twitter's curation al…

Jack Bandy et al.Northwestern University

Algorithmic Auditing and Responsible AI

Towards Understanding and Supporting Journalistic Practices Using Semi-Automated News Discovery Tools

Journalists are routinely challenged with monitoring vast information environments in order to identify what is newsworthy and of interest to report to a wider audience. In a process referred to as computational news discovery, alerts and leads based on data-driven algorithmic analysis can orient journalists' attentio…

Nicholas Diakopoulos et al.Northwestern University

Expert Work

Journalistic Source Discovery: Supporting The Identification of News Sources in User Generated Content

Many journalists and newsrooms now incorporate audience contributions in their sourcing practices by leveraging user-generated content (UGC). However, their sourcing needs and practices as they seek information from UGCs are still not deeply understood by researchers or well-supported in tools. This paper first report…

Yixue Wang et al.Northwestern University

Whose Walkability?: Challenges in Algorithmically Measuring Subjective Experience

The Walk Score is a patented algorithm for measuring the walkability of a given geographic area. In addition to its use in real estate, the accompanying API is used in a range of research in public health and urban development. This study explores how neighborhood residents differently understand the notion of walkabi…

Mark Diaz et al.Northwestern University

Accessibility and assistive technologies

Search as News Curator: The Role of Google in Shaping Attention to News Information

This paper presents an algorithm audit of the Google Top Stories box, a prominent component of search engine results and powerful driver of traffic to news publishers. As such, it is important in shaping user attention towards news outlets and topics. By analyzing the number of appearances of news article links we con…

Daniel Trielli et al.Northwestern University

Paper Title	Authors	Research Topics
“Helping Me Versus Doing It for Me”: Designing for Agency in LLM-Infused Writing Tools for Science Journalism Journalists rely on their agency---the ability to exercise independent judgment in alignment with their values---to fulfill their democratic social role. In this study, we investigate how LLM-infused writing tools reshape journalists' agency in editorial decision making. In interviews with 20 science journalists, we p…	SN Sachita Nishal et al.Northwestern University
emoji_events Values as Problems, Principles, and Tensions in Sociotechnical System Design for Journalism Through a systematic review of design contributions in journalism, this work examines how domain-specific values shape sociotechnical systems for newswork. We illustrate the different ways in which values define design problems and act as guiding principles for solutions. For instance, the value ``accountability'' fun…	SN Sachita Nishal et al.Northwestern University
Understanding Practices around Computational News Discovery Tools in the Domain of Science Journalism Science and technology journalists today face challenges in finding newsworthy leads due to increased workloads, reduced resources, and expanding scientific publishing ecosystems. Given this context, we explore computational methods to aid these journalists' news discovery in terms of time-efficiency and agency. \text…	SN Sachita Nishal et al.Northwestern University	Session 2b: Algorithms in the Workplace
emoji_events In Dice We Trust: Uncertainty Displays for Maintaining Trust in Election Forecasts Over Time Trust in high-profile election forecasts influences the public’s confidence in democratic processes and electoral integrity. Yet, maintaining trust after unexpected outcomes like the 2016 U.S. presidential election is a significant challenge. Our work confronts this challenge through three experiments that gauge trust…	FY Fumeng Yang et al.Northwestern 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
AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models News media often leverage documents to find ideas for stories, while being critical of the frames and narratives present. Developing angles from a document such as a press release is a cognitively taxing process, in which journalists critically examine the implicit meaning of its claims. Informed by interviews with jo…	SP Savvas Petridis et al.Columbia University
From Crowd Ratings to Predictive Models of Newsworthiness to Support Science Journalism The scale of scientific publishing continues to grow, creating overload on science journalists who are inundated with choices for what would be most interesting, important, and newsworthy to cover in their reporting. This work addresses this problem by considering the viability of creating a predictive model of newswo…	SN Sachita Nishal et al.Northwestern University	Crowdsourcing; Crowdsourcing
Auditing the Information Quality of News-Related Queries on the Alexa Voice Assistant Smart speakers are becoming increasingly ubiquitous in society and are now used for satisfying a variety of information needs, from asking about the weather or traffic to accessing the latest breaking news information. Their growing use for news and information consumption presents new questions related to the quality…	HD Henry Kudzanai Dambanemuya et al.Northwestern University	Algorithmic Auditing and Responsible AI
More Accounts, Fewer Links: How Algorithmic Curation Impacts Media Exposure in Twitter Timelines Algorithmic timeline curation is now an integral part of Twitter's platform, affecting information exposure for more than 150 million daily active users. Despite its large-scale and high-stakes impact, especially during a public health emergency such as the COVID-19 pandemic, the exact effects of Twitter's curation al…	JB Jack Bandy et al.Northwestern University	Algorithmic Auditing and Responsible AI
Towards Understanding and Supporting Journalistic Practices Using Semi-Automated News Discovery Tools Journalists are routinely challenged with monitoring vast information environments in order to identify what is newsworthy and of interest to report to a wider audience. In a process referred to as computational news discovery, alerts and leads based on data-driven algorithmic analysis can orient journalists' attentio…	ND Nicholas Diakopoulos et al.Northwestern University	Expert Work
Journalistic Source Discovery: Supporting The Identification of News Sources in User Generated Content Many journalists and newsrooms now incorporate audience contributions in their sourcing practices by leveraging user-generated content (UGC). However, their sourcing needs and practices as they seek information from UGCs are still not deeply understood by researchers or well-supported in tools. This paper first report…	YW Yixue Wang et al.Northwestern University
Whose Walkability?: Challenges in Algorithmically Measuring Subjective Experience The Walk Score is a patented algorithm for measuring the walkability of a given geographic area. In addition to its use in real estate, the accompanying API is used in a range of research in public health and urban development. This study explores how neighborhood residents differently understand the notion of walkabi…	MD Mark Diaz et al.Northwestern University	Accessibility and assistive technologies
emoji_events Search as News Curator: The Role of Google in Shaping Attention to News Information This paper presents an algorithm audit of the Google Top Stories box, a prominent component of search engine results and powerful driver of traffic to news publishers. As such, it is important in shaping user attention towards news outlets and topics. By analyzing the number of appearances of news article links we con…	DT Daniel Trielli et al.Northwestern University