University of Illinois Urbana-Champaign

Graduate students' utilization of AI: Insights from social media and implications for information science

Borji, Samaneh

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https://hdl.handle.net/2142/126233

Description

Title
Graduate students' utilization of AI: Insights from social media and implications for information science
Author(s)
Borji, Samaneh
Issue Date
2025-03-11
Keyword(s)
  • PhD students
  • Artificial intelligence
  • Generative AI
  • Academic writing
  •  Information retrieval
  • Social media
  •  Information literacy
Abstract
This paper examines the ways in which PhD students utilize AI (Artificial Intelligence) tools, particularly generative AI, to assist in their academic work. Using data from social media posts collected via Quid Monitor, an advanced text analysis and data visualization platform, we explore the types of AI tools PhD students seek and their motivations for adopting them. Our findings reveal that AI is predominantly used for writing and content generation, with speed and efficiency being key drivers. Generative AI is also employed to retrieve and summarize information, helping students manage large volumes of academic material. However, concerns about the quality and reliability of AI-generated information persist, raising critical questions about information literacy and ethics in academia. This study highlights the need for PhD students to critically assess AI-generated content and emphasizes the importance of responsible AI integration in academic workflows.
Publisher
iSchools
Series/Report Name or Number
iConference 2025 Proceedings
Type of Resource
Other
Genre of Resource
Conference Poster
Language
eng
Handle URL
https://hdl.handle.net/2142/126233
Copyright and License Information
Copyright 2025 is held by Samaneh Borji. Copyright permissions, when appropriate, must be obtained directly from the author.

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