Evolution of online public opinions on major accidents: Implications for post-accident response based on social media network

Zhou, Zhipeng; Zhou, Xingnan; Chen, Yudi; Qi, Haonan

doi:10.1016/j.eswa.2023.121307

Cited by 10 publications

(3 citation statements)

References 82 publications

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“…This integration can enhance the persuasiveness and comprehensiveness of online public opinion analyses. It is particularly significant owing to the harmful effects of misinformation circulating within SM networks, which tremendously affects the development of online public opinions [31]. Such adverse effects are evidence for the requirement of SM platforms to possess inventive mechanisms that compel users to assume responsibility for the information they provide and disseminate, directing them towards social knowledge that fosters social capital rather than perpetuating misinformation, non-constructive social comparison models, and the devaluation of intellectual pursuits in favour of non-sustainable business models.…”

Section: Social Mediamentioning

confidence: 99%

“…These meanings are crucial in the academic field from epistemological and professional standpoints, though they are less personal. ASNs are used for tasks like organising and managing work within an educational institution (30), conducting research (31), and completing thorough analyses of courses, research, and projects (29). These categories are mostly important with respect to knowledge describing ASNs, such as the result of scientific advancement (24), the means of comprehending knowledge through dialogue (18), and scientific thinking for knowledge creation (20).…”

Section: Academic Social Networkmentioning

confidence: 99%

“…The epistemological categories are also present in the actual context of SM, as subjective meaning is less negative and objective value is recognised. SM provide comprehension as the process of constructing meanings (12), helping in understanding the world around us (31), where the author integrates their own thinking and experience (11). The mindset towards SM is recognised as the influence of social and meta-knowledge-categorised attitudes resulting from socialisation (18).…”

Section: Social Mediamentioning

confidence: 99%

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Academics’ Epistemological Attitudes towards Academic Social Networks and Social Media

Sivoronova,

Vorobjovs,

Raščevskis

2024

Philosophies

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Academic social networks and social media have revolutionised the way individuals gather information and express themselves, particularly in academia, science, and research. Through the lens of academics, this study aims to investigate the epistemological and psychosocial aspects of these knowledge sources. The epistemological attitude model presented a framework to delve into and reflect upon the existence of knowledge sources, comprising subjective, interactional, and knowledge dimensions. One hundred and twenty-six university academics participated in this study, including lecturers and researchers from different higher education institutions in Latvia. The study employed two methods: the Epistemological Attitudes towards Sources of Knowledge Questionnaire and the Epistemological Attitudes towards Sources of Knowledge Semantic Questionnaire. The data analysis involved several procedures, including exploratory and confirmatory factor analysis, correlation analysis, and test statistics. By implementing these methods, the study gained valuable insights into the sources of knowledge, examining them from two perspectives. The first perspective brought attention to the differences in academics’ appraisals by discussing their understanding, approach, use, and valuations of these sources. By scrutinising the constructs of meanings, the second perspective sheds light on the anticipated knowledge which is deemed ideal, the concrete knowledge that is both social and objective, and the subjectively valuable nature of academic social networks and social media. The findings underscore the specialised knowledge and qualities that academics rely on for producing knowledge. In terms of epistemology, methodology, social science, and education, the study holds theoretical and practical implications, especially in comprehending knowledge and its sources.

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Section: Social Mediamentioning

confidence: 99%

Section: Academic Social Networkmentioning

confidence: 99%

Section: Social Mediamentioning

confidence: 99%

See 1 more Smart Citation

Academics’ Epistemological Attitudes towards Academic Social Networks and Social Media

Sivoronova,

Vorobjovs,

Raščevskis

2024

Philosophies

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Research on the Evolutionary Analysis of Online Public Opinion Reversal Events Based on Social Combustion Theory

Dong,

Yuan,

2024

Lecture Notes in Business Information Processing

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An analysis of public topics and sentiments based on social media during the COVID-19 Omicron Variant outbreak in Shanghai 2022

Liu,

Tian,

Shi

et al. 2024

Comput.Urban Sci.

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The outbreak of the COVID-19 Omicron variant in Shanghai in 2022 elicited complex emotions among Shanghainese during the two-month quarantine period. This paper aims to identify prevailing public themes and sentiments by analyzing social media posts from Weibo. Initially, we conducted research based on a dataset of 90,000 Weibo posts during the 2022 COVID-19 outbreak in Shanghai. By examining social media data that mirrors residents' emotional shifts and areas of focus during unforeseen circumstances, we have developed an analytical framework combining hotspot analysis and public sentiment assessment. Subsequently, we employed the Latent Dirichlet Allocation (LDA) method to conduct topic modeling on the Weibo text data. The SnowNLP sentiment classification method was then utilized to quantify sentiment values. Ultimately, we performed spatial visualization of sentiment and concern data, categorizing them into distinct time periods based on Shanghai's infection curve. This approach allowed us to investigate concern focal points, sentiment trends, and their spatiotemporal evolution characteristics. Our findings indicate that variations in public sentiment primarily hinge on the severity of the epidemic's spread, emerging events, the availability of essential resources, and the government's ability to respond promptly and accurately. It is evident that, while residents' concerns shift over time, their primary objective on social media remains expressing demands and releasing emotions. This research offers an avenue for leveraging public opinion analysis to enhance governance capacity during crises, fortify urban resilience, and promote public involvement in governmental decision-making processes.

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Evolution of online public opinions on major accidents: Implications for post-accident response based on social media network

Cited by 10 publications

References 82 publications

Academics’ Epistemological Attitudes towards Academic Social Networks and Social Media

Academics’ Epistemological Attitudes towards Academic Social Networks and Social Media

Research on the Evolutionary Analysis of Online Public Opinion Reversal Events Based on Social Combustion Theory

An analysis of public topics and sentiments based on social media during the COVID-19 Omicron Variant outbreak in Shanghai 2022

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