Proceedings of the 2023 7th International Seminar on Education, Management and Social Sciences (ISEMSS 2023)

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Analyzing Public Sentiment Towards AI: Insights from Video Comments on Bilibili and YouTube - A ChatGPT Case Study

Authors
Kaiyang Wang1, *, Xuncheng Wang1, Shanshan Li1, Menglin Liu1
1International Joint Audit Institute, Nanjing Audit University, Nanjing, China
*Corresponding author. Email: 203140822@stu.nau.edu.cn
Corresponding Author
Kaiyang Wang
Available Online 31 October 2023.
DOI
10.2991/978-2-38476-126-5_142How to use a DOI?
Keywords
ChatGPT; User Attitudes; Bilibili; YouTube
Abstract

This study examines user attitudes towards AI on the online platforms Bilibili and YouTube, focusing on ChatGPT, an AI-based language model. Through word frequency, sentiment, and topic modeling analysis, user interests, sentiment distribution, and prevalent themes are explored. Bilibili demonstrates a higher proportion of negative sentiment, primarily driven by critical feedback from student users. Common interests among users on both platforms include human behavior, learning, programming, data analysis, scientific research, video appreciation, and ChatGPT's role in content discovery. These findings contribute to understanding diverse user attitudes towards AI on different online platforms.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 7th International Seminar on Education, Management and Social Sciences (ISEMSS 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
31 October 2023
ISBN
10.2991/978-2-38476-126-5_142
ISSN
2352-5398
DOI
10.2991/978-2-38476-126-5_142How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Kaiyang Wang
AU  - Xuncheng Wang
AU  - Shanshan Li
AU  - Menglin Liu
PY  - 2023
DA  - 2023/10/31
TI  - Analyzing Public Sentiment Towards AI: Insights from Video Comments on Bilibili and YouTube - A ChatGPT Case Study
BT  - Proceedings of the 2023 7th International Seminar on Education, Management and Social Sciences (ISEMSS 2023)
PB  - Atlantis Press
SP  - 1304
EP  - 1312
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-126-5_142
DO  - 10.2991/978-2-38476-126-5_142
ID  - Wang2023
ER  -