Construction safety knowledge sharing on YouTube from 2007 to 2021: Two-step flow theory and semantic analysis

Yao, Qi; Li, Rita Yi Man; Song, Lingxi

doi:10.1016/j.ssci.2022.105796

Cited by 24 publications

(15 citation statements)

References 39 publications

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“…Therefore, social media or online communities can be introduced to facilitate the dissemination of new knowledge and technologies within ICS. Social media has been identified as a critical driver of knowledge sharing ( Edo-Osagie et al, 2020 ; Yao et al, 2022 ), providing a constant and easily accessible platform where members can break down geographic barriers and communicate freely with knowledge senders ( Zhang et al, 2018 ; Ainley et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

“…And the matrix of the other variables, such as emotional support, material support, trust, importance of relationship, cognitive proximity, gender, professional title, and department, were also determined on the basis of the information about interactions and individual demographic attributes. Then, the data of adjacency matrix were entered into UCINET (version 6) and NetDraw (version 2) to do social network analysis, including network visualization to show the scale and structure of the network clearly, and evaluation of density and degree centrality of the network ( Hazrati et al, 2021 ; Yao et al, 2022 ; Zeng and Li, 2022 ).…”

Section: Methodsmentioning

confidence: 99%

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Knowledge sharing of health technology among clinicians in integrated care system: The role of social networks

2022

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Promoting clinicians’ knowledge sharing of appropriate health technology within the integrated care system (ICS) is of great vitality in bridging the technological gap between member institutions. However, the role of social networks in knowledge sharing of health technology is still largely unknown. To address this issue, the study aims to clarify the influence of clinicians’ social networks on knowledge sharing of health technology within the ICS. A questionnaire survey was conducted among the clinicians in the Alliance of Liver Disease Specialists in Fujian Province, China. Social network analysis was conducted using NetDraw and UCINET, and the quadratic assignment procedure (QAP) multiple regression was used to analyze the influencing factors of knowledge sharing of health technology. The results showed that the ICS played an insufficient role in promoting overall knowledge sharing, especially inter-institutional knowledge sharing. Trust, emotional support, material support, and cognitive proximity positively influenced knowledge sharing of health technology, while the frequency of interaction and relationship importance had a negative impact on it. The finding extended the research scope of social network theory to the field of healthcare and will bridge the evidence gap in the influence of the clinicians’ social networks on their knowledge sharing within the ICS, providing new ideas to boost knowledge sharing and diffusion of appropriate health technology.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Knowledge sharing of health technology among clinicians in integrated care system: The role of social networks

2022

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“…More importantly, researchers can visualise meaningful results to offer insights in the form of graphs for further study (Song et al, 2022). Another advantage of SNA is that it can process many social ties and describe the comprehensive relational network structure (Yao et al, 2022).…”

Section: Social Network Analysis Of English and French Tweetsmentioning

confidence: 99%

“…Average geodesic distance refers to the average number of paths connecting two vertices. It measures how many intermediate users may be required between any two users (Yao et al, 2022). The average geodesic distance between the English and French Twitter network was 7.150551 and 4.705047, respectively.…”

Section: Social Network Analysis Of English and French Tweetsmentioning

confidence: 99%

“…With the development of information communication technology, social media enables people to share their views and change how they communicate (Song et al, 2022). It eliminates time and space constraints and facilitates knowledge dissemination and sharing (Yao et al, 2022). Previous studies have confirmed the potential of using social media such as Twitter to share expert knowledge and increase user interest in specific topics (Etemadi et al, 2021;Yao et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Carbon neutrality vs. neutralité carbone: A comparative study on French and English users’ perceptions and social capital on Twitter

Yao

Song³

2022

Front. Environ. Sci.

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Carbon neutrality is one of the most critical global concerns at present. As one of the largest social media, Twitter is used widely by individuals, organisations, and government agencies to share their comments and perceptions on carbon neutrality. This study collected 26425 English and 20331 French tweets to compare the differences between French and English tweets. Social network analysis found that users in the French social networks interacted more frequently than the English ones. The geodesic analysis evidenced that the connection of any two users required about five intermediate users on average in French networks, while English ones required seven intermediate users. The modularity metrics of the English network were higher, indicating that users in English networks did not communicate with different clusters and people in carbon neutrality issues. In addition, the French network of carbon neutrality activists comprised politicians, government agencies, journalists, NGOs, and companies, while those in the English network mainly included companies, media, and politicians. Sentiment analysis and independent samples t-test have confirmed that despite the types of activists and the interactions between clusters being different, negative Tweets were more than positive ones in English and French networks, especially in French networks. It may be caused by people’s dissatisfaction with the government’s current carbon neutrality policy. By analysing the social pattern on Twitter, the research results allow people to know more about the means to enhance carbon-neutral knowledge sharing, which has the policy and social significance for addressing climate change.

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Analyzing online public opinion on Thailand-China high-speed train and Laos-China railway mega-projects using advanced machine learning for sentiment analysis

Nokkaew,

Nongpong,

Yeophantong

et al. 2023

Soc. Netw. Anal. Min.

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Sentiment analysis is becoming a very popular research technique. It can effectively identify hidden emotional trends in social networks to understand people’s opinions and feelings. This research therefore focuses on analyzing the sentiments of the public on the social media platform, YouTube, about the Thailand-China high-speed train project and the Laos-China Railway, a mega-project that is important to the country and a huge investment to develop transportation infrastructure. It affects both the economic and social dimensions of Thai people and is also an important route to connect the rail systems of ASEAN countries as part of the Belt and Road Initiative. We gathered public Thai reviews from YouTube using the Data Application Program Interface. This dataset was used to train six sentiment classifiers using machine learning and deep learning algorithms. The performance of all six models by means of precision, recall, F1-score and accuracy are compared to find the most suitable model architecture for sentiment classification. The results show that the transformer model with the WangchanBERTa language model yields best accuracy, 94.57%. We found that the use of a Thai language-specific model that was trained from a large variety of data sources plays a major role in the model performance and significantly increases the accuracy of sentiment prediction. The promising performance of this sentiment classification model also suggests that it can be used as a tool for government agencies to plan, make strategic decisions, and improve communication with the public for better understanding of their projects. Furthermore, the model can be integrated with any online platform to monitor people's sentiments on other public matters. Regular monitoring of public opinions could help the policy makers in designing public policies to address the citizens’ problems and concerns as well as planning development strategies for the country.

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Construction safety knowledge sharing on YouTube from 2007 to 2021: Two-step flow theory and semantic analysis

Cited by 24 publications

References 39 publications

Knowledge sharing of health technology among clinicians in integrated care system: The role of social networks

Knowledge sharing of health technology among clinicians in integrated care system: The role of social networks

Carbon neutrality vs. neutralité carbone: A comparative study on French and English users’ perceptions and social capital on Twitter

Analyzing online public opinion on Thailand-China high-speed train and Laos-China railway mega-projects using advanced machine learning for sentiment analysis

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