Analysis of Online Public Opinion on Ecological Issues in Guangxi Based on the LDA Model

Risheng  Chen; Jingjing  Wu

doi:10.54691/rke76789

Authors

Risheng Chen
Jingjing Wu

DOI:

https://doi.org/10.54691/rke76789

Keywords:

Online Public Opinion; Water Pollution; LDA Model.

Abstract

As ecological issues become increasingly severe, public attention and discussions on environmental protection topics have been widely spread through online platforms. This paper focuses on the online public opinion regarding water pollution issues in Guangxi, using video comments from Douyin and Bilibili as the data source. The LDA model is employed to extract the opinion topics, and sentiment analysis tools are used to explore the differences in public emotional tendencies. The study finds that there is little difference in the proportion of positive emotions in the comments on Douyin and Bilibili, while the proportion of negative emotions on Douyin is significantly higher than on Bilibili. Douyin comments tend to express emotions in a more sensational manner, while Bilibili comments place more emphasis on rational discussion and in-depth analysis. The study suggests that factors such as user age, platform comment mechanisms, information dissemination speed, and platform algorithms could be the possible causes of the differences in public opinion tendencies between the two platforms. The paper also discusses the impact of policy factors, media factors, and public participation on online public opinion and provides corresponding suggestions to guide opinion regulation bodies in managing online public sentiment.

Downloads

Download data is not yet available.

References

[1] BLEIDM, NGAY, JORDAN M I. Latent Dirichlet Allocation [J]. Journal of Machine Learning Research, 2003, 3(4/5): 993-1022.

[2] Chen Chunyang, Huang Xiuling. Research on the Generation Mechanism and Communication Patterns of Weibo Public Opinion [J]. Information Science, 2018, 36(04): 32-37.

[3] The 55th "Statistical Report on China's Internet Development" Released [J]. Media Forum, 2025, 9(02): 121.

[4] Guo Han. Analyzing Guangxi's Ecological Civilization Construction from the Perspective of Green Development Cases [J]. Environmental Protection, 2024, 52(05): 73-74.

[5] Liao Qi, Li Chunyou, Yin Juan. Research on Guangxi's Environmental Protection Issues Based on the Characteristics of Environmental Protection Investment [J]. Economic Research Reference, 2017, (11): 85-90. DOI:10.16110/j.cnki.issn2095-3151.2017.11.019.

[6] Li Hong. The Symbolic Risks of Online Public Opinion and Its Governance Path [J]. Journal of Northwest Normal University (Social Sciences Edition), 2024, 61(06): 62-69.

[7] Liu Yan. Research on User Engagement of Mainstream Media Short Videos on Bilibili: An Empirical Analysis Based on "CCTV News" Bilibili Channel [J]. Journal of Kunming University of Science and Technology (Social Science Edition), 2024, 24(02): 152-160.

[8] Li Yanling, Wu Kexin. Research on the Thematic Evolution and Focus Features of Online Public Opinion in Emergency Events: A Case Study of the "Henan Rainstorm Incident" [J]. Disaster Science, 2025, 40(01): 207-212.

[9] Resch, Usländer, Havas. Combining Machine-Learning Topic Models and Spatiotemporal Analysis of Social Media Data for Disaster Footprint and Damage Assessment [J]. Cartography and Geographic Information Science, 2018, 45(4): 362-376.

[10] Sun Mengru, Wu Fei. Do Platforms Possess Public Attributes?—An Empirical Study on the Public Deliberation Degree of Social Media from the Perspective of Platform Society [J]. Journalism and Writing, 2025, (02): 5-17.

[11] Sun Yuzhu, Hu Ming. The Mediatization of Knowledge Production and Reproduction: The Conjunctural Practices of General Knowledge Short Videos on Bilibili [J]. Journalism Spring and Autumn, 2025, (01): 62-72.

[12] Tang Yan. A Brief Discussion on the Significance of Guangxi’s Biodiversity Protection [J]. Science and Technology Communication, 2010, (21): 109+103.

[13] Takahashi B, Tandoc C E, Carmichael C. Communicating on Twitter During a Disaster: An Analysis of Tweets During Typhoon Haiyan in the Philippines [J]. Computers in Human Behavior, 2015, 50: 392-398.

[14] Wang Xiwei, Wen Qing, Zhao Dan, et al. Research on the Public Opinion Communication Path and Network Structure of Natural Disasters in the New Media Environment: A Case Study of the "Ya'an Earthquake" Topic on Sina Weibo [J]. Journal of Intelligence, 2018, 37(02): 110-116.

[15] Wang Yijun, Huang Shiyun. Does Government Response Always Alleviate Public Opinion on Hot Events?—Sentiment Analysis Based on Short Videos [J]. Public Administration Review, 2024, 6(03): 52-75.

[16] Yang Lei, Wang Zirun, Hou Guisheng. Research on Topic Mining of Online Health Communities Based on Q-LDA Topic Model [J]. Data Analysis and Knowledge Discovery, 2019, 3(11): 52-59.

[17] Yuan Wenhua. The Mechanism, Potential Risks, and Normative Pathways of Online Public Opinion Remedies [J]. Ideological and Theoretical Education, 2023, (08): 87-93.

[18] Yin Yungong. Analyzing Deng Xiaoping’s Thoughts on the Constructive Criticism Role of Media [J]. Mao Zedong and Deng Xiaoping Theory Research, 2024, (03): 66-72+109.

[19] Yang Guang. The Integrated Management of News Propaganda and Online Public Opinion: Its Contemporary Value, Theoretical Foundation, and Normative Governance [J]. Press Circles, 2024, (12): 15-26.

[20] Zhao Qiguo, Huang Guoqin. On Ecological Security in Guangxi [J]. Acta Ecologica Sinica, 2014, 34(18): 5125-5141.

[21] Zeng Ziming, Chen Siyu. Evolutionary Analysis of Online Public Opinion in Public Health Emergencies Based on LDA and BERT-BiLSTM-Attention Model [J]. Information Theory and Practice, 2023, 46(09): 158-166.