Artificial Intelligence's Role in Workplace Involution: A Text Mining Study

Xuenan HUO; Keng Leng SIAU

Artificial Intelligence's Role in Workplace Involution: A Text Mining Study

Xuenan HUO^*
, Keng Leng SIAU

^*Corresponding author for this work

Department of Information Systems

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Workplace involution is a counterproductive phenomenon where employees involuntarily put in increased effort, which does not translate into meaningful gains. Involution can harm employees’ well-being and lead to a decline in overall workplace effectiveness. While artificial intelligence (AI) is a transformative force in modern workplaces, its role as a solution alleviating involution or a contributor to intensifying involution has yet to be studied in public discourse. This research examines the effects of AI on workplace involution in China. Using mixed methods of sentiment analysis and topic modeling, this research will collect public opinions on social media to (1) assess public sentiments toward AI in relation to workplace involution, (2) identify salient themes related to involution, and (3) examine how public sentiments vary across themes. Preliminary results found a growing public engagement in discussions related to AI and involution from 2022 to 2025, providing empirical support for the research value.

Translated title of the contribution	人工智能在职场内卷中的作用: 文本挖掘研究
Original language	English
Title of host publication	PACIS 2025 Proceedings
Publisher	Association for Information Systems
Number of pages	9
Publication status	Published - 2025
Event	29th Pacific Asia Conference on Information Systems (PACIS 2025): Diversity and Inclusion in Information Systems - Kuala Lumpur, Malaysia Duration: 5 Jul 2025 → 9 Jul 2025 https://pacis2025.aisconferences.org/

Publication series

Name	Pacific Asia Conference on Information Systems
ISSN (Print)	2689-6354

Conference

Conference	29th Pacific Asia Conference on Information Systems (PACIS 2025)
Abbreviated title	PACIS2025
Place	Malaysia
City	Kuala Lumpur
Period	5/07/25 → 9/07/25
Internet address	https://pacis2025.aisconferences.org/

Bibliographical note

Research Unit(s) information for this publication is provided by the author(s) concerned.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Research Keywords

Workplace Involution
Artificial Intelligence
Text Mining
Social Media

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https://aisel.aisnet.org/pacis2025/emerg_tech/emerg_tech/8

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Cite this

@inproceedings{3cab19096c3c4a5491e98d5e31ebcb15,

title = "Artificial Intelligence's Role in Workplace Involution: A Text Mining Study",

abstract = "Workplace involution is a counterproductive phenomenon where employees involuntarily put in increased effort, which does not translate into meaningful gains. Involution can harm employees{\textquoteright} well-being and lead to a decline in overall workplace effectiveness. While artificial intelligence (AI) is a transformative force in modern workplaces, its role as a solution alleviating involution or a contributor to intensifying involution has yet to be studied in public discourse. This research examines the effects of AI on workplace involution in China. Using mixed methods of sentiment analysis and topic modeling, this research will collect public opinions on social media to (1) assess public sentiments toward AI in relation to workplace involution, (2) identify salient themes related to involution, and (3) examine how public sentiments vary across themes. Preliminary results found a growing public engagement in discussions related to AI and involution from 2022 to 2025, providing empirical support for the research value.",

keywords = "Workplace Involution, Artificial Intelligence, Text Mining, Social Media",

author = "Xuenan HUO and SIAU, \{Keng Leng\}",

note = "Research Unit(s) information for this publication is provided by the author(s) concerned.; 29th Pacific Asia Conference on Information Systems (PACIS 2025) : Diversity and Inclusion in Information Systems, PACIS2025 ; Conference date: 05-07-2025 Through 09-07-2025",

year = "2025",

language = "English",

series = "Pacific Asia Conference on Information Systems",

publisher = "Association for Information Systems",

booktitle = "PACIS 2025 Proceedings",

address = "United States",

url = "https://pacis2025.aisconferences.org/",

}

HUO, X & SIAU, KL 2025, Artificial Intelligence's Role in Workplace Involution: A Text Mining Study. in PACIS 2025 Proceedings. Pacific Asia Conference on Information Systems, Association for Information Systems, 29th Pacific Asia Conference on Information Systems (PACIS 2025), Kuala Lumpur, Malaysia, 5/07/25. <https://aisel.aisnet.org/pacis2025/emerg_tech/emerg_tech/8>

Artificial Intelligence's Role in Workplace Involution: A Text Mining Study. / HUO, Xuenan ; SIAU, Keng Leng.
PACIS 2025 Proceedings. Association for Information Systems, 2025. (Pacific Asia Conference on Information Systems).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Artificial Intelligence's Role in Workplace Involution

T2 - 29th Pacific Asia Conference on Information Systems (PACIS 2025)

AU - HUO, Xuenan

AU - SIAU, Keng Leng

N1 - Research Unit(s) information for this publication is provided by the author(s) concerned.

PY - 2025

Y1 - 2025

N2 - Workplace involution is a counterproductive phenomenon where employees involuntarily put in increased effort, which does not translate into meaningful gains. Involution can harm employees’ well-being and lead to a decline in overall workplace effectiveness. While artificial intelligence (AI) is a transformative force in modern workplaces, its role as a solution alleviating involution or a contributor to intensifying involution has yet to be studied in public discourse. This research examines the effects of AI on workplace involution in China. Using mixed methods of sentiment analysis and topic modeling, this research will collect public opinions on social media to (1) assess public sentiments toward AI in relation to workplace involution, (2) identify salient themes related to involution, and (3) examine how public sentiments vary across themes. Preliminary results found a growing public engagement in discussions related to AI and involution from 2022 to 2025, providing empirical support for the research value.

AB - Workplace involution is a counterproductive phenomenon where employees involuntarily put in increased effort, which does not translate into meaningful gains. Involution can harm employees’ well-being and lead to a decline in overall workplace effectiveness. While artificial intelligence (AI) is a transformative force in modern workplaces, its role as a solution alleviating involution or a contributor to intensifying involution has yet to be studied in public discourse. This research examines the effects of AI on workplace involution in China. Using mixed methods of sentiment analysis and topic modeling, this research will collect public opinions on social media to (1) assess public sentiments toward AI in relation to workplace involution, (2) identify salient themes related to involution, and (3) examine how public sentiments vary across themes. Preliminary results found a growing public engagement in discussions related to AI and involution from 2022 to 2025, providing empirical support for the research value.

KW - Workplace Involution

KW - Artificial Intelligence

KW - Text Mining

KW - Social Media

UR - https://www.scopus.com/pages/publications/105029227536

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-105029227536&origin=recordpage

M3 - RGC 32 - Refereed conference paper (with host publication)

T3 - Pacific Asia Conference on Information Systems

BT - PACIS 2025 Proceedings

PB - Association for Information Systems

Y2 - 5 July 2025 through 9 July 2025

ER -

Artificial Intelligence's Role in Workplace Involution: A Text Mining Study

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Research Keywords

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