Coordinator: Prof. Yu-li LIU
Members: Dr. DAI Yue, Dr. KIM Ki Joon, Dr. LIANG Limin, Dr. LIN Fen, Prof. LIU Yu-li, Dr. WANG Yuan
Keywords: New Media, Technology, big data, AI, media management, telecom policy, ethics and governance, business model
The cluster focuses on new media and technology related issues. We explore the social, cultural, economic, legal, ethical and organizational implications of new media and technology. We also examine impression formation and relationship development with or through technology. The research interests of the members include the effects of new media, big data, artificial intelligence (AI), media management, and telecom policy, etc.
Our research interests are with the social organization and cultural studies of journalism and new media. Our recent projects focus on 1) the role of new media technologies in the production and reception of media events/rituals and their implications for symbolic politics; 2) how social media impact the intimate interdependence of fact and values in a narrative approach to journalism and transform journalism culture; 3) the diffusion of new communication technologies in journalism organizations, the mutual shaping of design and use, and implications for organizational practices.
Our research interests include diffusion of innovation, AI governance, media and technology litigations, politics of algorithm, and ethics of technology. Our recent projects focus on 1) how various societal factors shape the diffusion of technological and policy innovation; 2) the legal, ethical and policy challenges of AI; 3) the impacts of technology on China’s information regime and authoritarian governance.
Our research interests include the ethics and governance issues of the telecom industry for artificial intelligence applications. We study how telecom operators use artificial intelligence to provide innovative services and the related legal and ethical problems occurred. We also analyse the ethics and governance of the artificial intelligence related to the telecommunications industry in the United States, the European Union, Japan, South Korea, China, Taiwan, and Hong Kong.
Our research examines impression formation, relationship development, social support, and social influence processes that either take place in mediated communication environments or involve the use of technology. The specific themes of our studies include: (1) how individuals vicariously experience an interaction from observing others’ interactions online, (2) how individuals’ impressions of others in Web 2.0 environments influence the persuasion outcomes of user-generated content, and (3) how individuals form impressions of interactive technology such as AI and whether it can be used to induce positive communication outcomes, such as providing social support to those with mental health issues.
We examine how various technological affordances present in digital technology influence the behavioural, social, psychological outcomes of technology–mediated communication. We also develop theoretical paradigms in which human interactions with the latest pervasive technology, such as the Internet of Things, wearable devices, and autonomous vehicles, are perceived as socially meaningful and persuasive.
Our studies examine the effects of publics’ engagement with organizations on social media and mobile phones on their relational satisfaction, organizational identification, and word-of-mouth communication. We also investigate how organization-public relationships influence the public’s social media communication behaviors. In addition to studying the relationships between organizations and their publics, we explore the cross-sector relationships between international non-governmental organizations and intergovernmental organizations on social media and identify the predictors of the relationships.
Dai, Y., & Walther, J. B. (2018). Vicariously experiencing parasocial intimacy with public figures through observations of interactions on social media. Human Communication Research, 44(3), 322–342. https://doi.org/10.1093/hcr/hqy003 [SSCI]
Kim, K. J. (2016). Interacting socially with the Internet of Things (IoT): Effects of source attribution and specialization in human–IoT interaction. Journal of Computer–Mediated Communication, 21(6), 420-435.
Liang, L. (Forthcoming). Between Emotion, Politics and Law: Narrative Transformation and Authoritarian Deliberation in a Land-Dispute-Triggered Social Drama in China. The China Quarterly. [SSCI]
Lin, F. (2019). The discursive paradox of AI criticism. International Journal of Chinese & Comparative Philosophy of Medicine, 17(2), 133-137.
Liu, Y.L. & Chou, Y. T. (April, 2018). Editorial: Big Data, the IOT, and Interconnected Society. Telecommunications Policy. [SSCI].
Wang, Y. (2020). When relationships meet situations: Exploring the antecedents of employee communication behaviors on social media. Social Science Computer Review. Advanced online publication. https://doi.org/10.1177/0894439320904719 [SSCI]