Communication Colloquium Series: Computational Approaches to Studying Opinion Expression and Diffusion on China’s Social Media
Monday, March 9, 2020 12pm to 1:15pm
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Cornell University Mann Library, Cornell University, Ithaca, NY 14853, USA
https://communication.cals.cornell.edu/news-events/Despite the censored and commercialized character of the digital space in China, the bloom of social networking sites and instant messaging applications have created an unprecedented space for information diffusion and opinion expression. The availability of large amounts of digital trace data enhances the application of computational social science approaches that combine automated topic, emotion and opinion detection with social network mapping. This talk will discuss this approach with two case studies: (1) user engagement in public discourse on Genetically Modified Organisms (GMOs) and the diffusion of rumors about GMOs on China’s social media sites; and (2) a network-based diffusion analysis of profane speech on Chinese social media which incorporates the use of machine learning approaches to sentiment analysis.
The director of the AI and Media Research Lab at Hong Kong Baptist University, Céline Yunya Song is an associate professor in the School of Communication. Part of her research focuses on social technologies with an emphasis on the dynamics in which networked environment influences user engagement, emotional contagion and information diffusion. Her work has been published, among other journals, International Journal of Press/Politics, New Media & Society, Computers in Human Behavior, and Social Science Computer Review. She is the co-editor of The Evolving Landscape of Media and Communication in Hong Kong (City University of Hong Kong Press, 2018). She has also published in the field of computer science, such as IJCAI and IEEE/WIC/ACM. Her research projects have been funded in recent years by Research Grants Council of Hong Kong, Fulbright, Education Bureau of Hong Kong and Central Policy Unit of Hong Kong.
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