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20232026
most cited"HOT" ChatGPT: The promise of ChatGPT in detecting and discriminating hateful, offensive, and toxic comments on social media

87 citations · 167 across the 10 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CY2023

Thriving in a Pandemic: Lessons Learned from a Resilient University Program Seen Through the CoI Lens

Zihui Ma, Lingyao Li, John C. E. Johnson

In March 2020, college campuses underwent a sudden transformation to online learning due to the COVID-19 outbreak. To understand the impact of COVID-19 on students' expectations, t…

cs.SI2023

Investigating disaster response through social media data and the Susceptible-Infected-Recovered (SIR) model: A case study of 2020 Western U.S. wildfire season

Zihui Ma, Lingyao Li, Libby Hemphill +2

Effective disaster response is critical for affected communities. Responders and decision-makers would benefit from reliable, timely measures of the issues impacting their communit…

cs.IR2023★ 2 cited

DataChat: Prototyping a Conversational Agent for Dataset Search and Visualization

Lizhou Fan, Sara Lafia, Lingyao Li +2

Data users need relevant context and research expertise to effectively search for and identify relevant datasets. Leading data providers, such as the Inter-university Consortium fo…

cs.CY2023★ 26 cited

ChatGPT in education: A discourse analysis of worries and concerns on social media

Lingyao Li, Zihui Ma, Lizhou Fan +3

The rapid advancements in generative AI models present new opportunities in the education sector. However, it is imperative to acknowledge and address the potential risks and conce…

cs.CL2023★ 87 cited

"HOT" ChatGPT: The promise of ChatGPT in detecting and discriminating hateful, offensive, and toxic comments on social media

Lingyao Li, Lizhou Fan, Shubham Atreja +1

Harmful content is pervasive on social media, poisoning online communities and negatively impacting participation. A common approach to address this issue is to develop detection m…

cs.DL2023★ 52 cited

A Bibliometric Review of Large Language Models Research from 2017 to 2023

Lizhou Fan, Lingyao Li, Zihui Ma +3

Large language models (LLMs) are a class of language models that have demonstrated outstanding performance across a range of natural language processing (NLP) tasks and have become…