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Author: 405

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Examining Human-AI Collaboration for Co-Writing Constructive Comments Online

This paper examines if large language models (LLMs) can help people write constructive comments on divisive social issues due to the difficulty of expressing constructive disagreement online. Through controlled experiments with 600 participants from India and the US, who reviewed and wrote constructive comments on thr…

Farhana Shahid et al.Cornell University

AI & Writing

AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances

Large language models (LLMs) are being increasingly integrated into everyday products and services, such as coding tools and writing assistants. As these embedded AI applications are deployed globally, there is a growing concern that the AI models underlying these applications prioritize Western values. This paper inv…

Dhruv Agarwal et al.Cornell University

Not Quite Filling the Void: Comparing the Perceptions of Local Online Groups and Local Media Pages on Facebook

With the steady closure of local newspapers, technology platforms are attempting to fill the void by providing community forums or neighborhood apps where users read and share local information. This study investigates how local online groups are perceived relative to more traditional local news outlets, and compares…

Marianne Aubin Le Quere et al.Cornell University

Session 2f: Governance, Online Communities, and Design

Under the (neighbor)hood: Hyperlocal Surveillance on Nextdoor

This paper examines the tensions between neighborhood gentrification and community surveillance posts on Nextdoor, a hyperlocal social media platform for neighborhoods. We created a privacy-preserving pipeline to gather research data from public Nextdoor posts in Atlanta, Georgia and filtered these to a dataset of 1,5…

Madiha Zahrah Choksi et al.Cornell University

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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

Co-Writing with Opinionated Language Models Affects Users' Views

If large language models like GPT-3 preferably produce a particular point of view, they may influence people's opinions on an unknown scale. This study investigates whether a language-model-powered writing assistant that generates some opinions more often than others impacts what users write -- and what they think. In…

Maurice Jakesch et al.Cornell University

Information Needs of Essential Workers During the COVID-19 Pandemic

COVID-19 has been a sustained and global crisis with a strong continual impact on daily life. Staying accurately informed about COVID-19 has been key to personal and communal safety, especially for essential workers---individuals whose jobs have required them to go into work throughout the pandemic---as their employme…

Marianne Aubin Le Quere et al.Cornell University

Digital Access and Transformation During the Pandemic; Digital Access and Transformation During the Pandemic

Characterizing Alternative Monetization Strategies on YouTube

One of the key emerging roles of the YouTube platform is providing creators the ability to generate revenue from their content and interactions. Alongside tools provided directly by the platform, such as revenue-sharing from advertising, creators co-opt the platform to use a variety of off-platform monetization opport…

Yiqing Hua et al.Cornell University

Online Platforms; Online Platforms

Characterizing Twitter Users Who Engage in Adversarial Interactions against Political Candidates

Social media provides a critical communication platform for political figures, but also makes them easy targets for harassment. In this paper, we characterize users who adversarially interact with political figures on Twitter using mixed-method techniques. The analysis is based on a dataset of 400 thousand users' 1.2…

Yiqing Hua et al.Cornell University

When Do People Trust Their Social Groups?

Trust facilitates cooperation and supports positive outcomes in social groups, including member satisfaction, information sharing, and task performance. Extensive prior research has examined individuals' general propensity to trust, as well as the factors that contribute to their trust in specific groups. Here, we bui…

Xiao Ma et al.Cornell University

AI-Mediated Communication: How the Perception that Profile Text was Written by AI Affects Trustworthiness

We are entering an era of AI-Mediated Communication (AI-MC) where interpersonal communication is not only mediated by technology, but is optimized, augmented, or generated by artificial intelligence. Our study takes a first look at the potential impact of AI-MC on online self-presentation. In three experiments we test…

Maurice Jakesch et al.Cornell University

Paper Title	Authors	Research Topics
Examining Human-AI Collaboration for Co-Writing Constructive Comments Online This paper examines if large language models (LLMs) can help people write constructive comments on divisive social issues due to the difficulty of expressing constructive disagreement online. Through controlled experiments with 600 participants from India and the US, who reviewed and wrote constructive comments on thr…	FS Farhana Shahid et al.Cornell University	AI & Writing
AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances Large language models (LLMs) are being increasingly integrated into everyday products and services, such as coding tools and writing assistants. As these embedded AI applications are deployed globally, there is a growing concern that the AI models underlying these applications prioritize Western values. This paper inv…	DA Dhruv Agarwal et al.Cornell University
Not Quite Filling the Void: Comparing the Perceptions of Local Online Groups and Local Media Pages on Facebook With the steady closure of local newspapers, technology platforms are attempting to fill the void by providing community forums or neighborhood apps where users read and share local information. This study investigates how local online groups are perceived relative to more traditional local news outlets, and compares…	MQ Marianne Aubin Le Quere et al.Cornell University	Session 2f: Governance, Online Communities, and Design
Under the (neighbor)hood: Hyperlocal Surveillance on Nextdoor This paper examines the tensions between neighborhood gentrification and community surveillance posts on Nextdoor, a hyperlocal social media platform for neighborhoods. We created a privacy-preserving pipeline to gather research data from public Nextdoor posts in Atlanta, Georgia and filtered these to a dataset of 1,5…	MC Madiha Zahrah Choksi 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
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
emoji_events Co-Writing with Opinionated Language Models Affects Users' Views If large language models like GPT-3 preferably produce a particular point of view, they may influence people's opinions on an unknown scale. This study investigates whether a language-model-powered writing assistant that generates some opinions more often than others impacts what users write -- and what they think. In…	MJ Maurice Jakesch et al.Cornell University
Information Needs of Essential Workers During the COVID-19 Pandemic COVID-19 has been a sustained and global crisis with a strong continual impact on daily life. Staying accurately informed about COVID-19 has been key to personal and communal safety, especially for essential workers---individuals whose jobs have required them to go into work throughout the pandemic---as their employme…	MQ Marianne Aubin Le Quere et al.Cornell University	Digital Access and Transformation During the Pandemic; Digital Access and Transformation During the Pandemic
Characterizing Alternative Monetization Strategies on YouTube One of the key emerging roles of the YouTube platform is providing creators the ability to generate revenue from their content and interactions. Alongside tools provided directly by the platform, such as revenue-sharing from advertising, creators co-opt the platform to use a variety of off-platform monetization opport…	YH Yiqing Hua et al.Cornell University	Online Platforms; Online Platforms
emoji_events Characterizing Twitter Users Who Engage in Adversarial Interactions against Political Candidates Social media provides a critical communication platform for political figures, but also makes them easy targets for harassment. In this paper, we characterize users who adversarially interact with political figures on Twitter using mixed-method techniques. The analysis is based on a dataset of 400 thousand users' 1.2…	YH Yiqing Hua et al.Cornell University
When Do People Trust Their Social Groups? Trust facilitates cooperation and supports positive outcomes in social groups, including member satisfaction, information sharing, and task performance. Extensive prior research has examined individuals' general propensity to trust, as well as the factors that contribute to their trust in specific groups. Here, we bui…	XM Xiao Ma et al.Cornell University
AI-Mediated Communication: How the Perception that Profile Text was Written by AI Affects Trustworthiness We are entering an era of AI-Mediated Communication (AI-MC) where interpersonal communication is not only mediated by technology, but is optimized, augmented, or generated by artificial intelligence. Our study takes a first look at the potential impact of AI-MC on online self-presentation. In three experiments we test…	MJ Maurice Jakesch et al.Cornell University