@article{ding_kong_2024, title={Theorizing knowledgescape as a transnational mediating force: Artificial intelligence and global flows}, volume={3}, ISSN={["1742-7673"]}, DOI={10.1177/17427665241236331}, abstractNote={ As a global technoscientific form involving various forces and stakeholders, research and development (R&D) in artificial intelligence (AI) transcends corporate, national and institutional boundaries. Incorporating transnational rhetorical analysis and corpus-assisted discourse analysis, this article examines the global cultural flows surrounding AI constructed in official and media discourses in the US and China. We propose a new theoretical concept of knowledgescape that expands the toolkits of global flows and provides new explanatory power about global innovation and competition. This concept sheds light on the global processes, mechanisms and power dynamics of the production, dissemination, consumption and contestation of cutting-edge knowledge. }, journal={GLOBAL MEDIA AND COMMUNICATION}, author={Ding, Huiling and Kong, Yeqing}, year={2024}, month={Mar} }
 @article{ranade_kong_2020, title={Extended Abstract: Custom OR Off-the-Shelf Software: Making the Right Choice for Corpus Analysis}, ISSN={["2158-091X"]}, DOI={10.1109/ProComm48883.2020.00037}, abstractNote={This article provides a systematic comparison of two common approaches to corpus analysis. While custom software is developed through programming, off-the-shelf software requires corpus linguistics knowledge. Focusing on the learning curve, cost, time, flexibility, and usability, we explain the features of each approach and offer guidance in how researchers can navigate different approaches to corpus analysis. Our critical reflection is based on a collective autoethnographic study. This research is useful for researchers who want to compare and choose between custom and readily available software in analyzing corpora.}, journal={2020 IEEE INTERNATIONAL PROFESSIONAL COMMUNICATION CONFERENCE (PROCOMM 2020)}, author={Ranade, Nupoor and Kong, Yeqing}, year={2020}, pages={180–181} }
 @article{kong_2020, title={Extended Abstract: What to Expect When You Are Learning Data Visualization: A Textual Analysis of Course Syllabi}, ISSN={["2158-091X"]}, DOI={10.1109/ProComm48883.2020.00042}, abstractNote={This article discusses the content coverage of introductory data visualization courses in U.S. higher education. I conducted a corpus-assisted textual analysis of 20 publicly available course syllabi. The findings suggest that existing courses predominantly focus on the practical experience of producing visualization design (e.g., tools, techniques, methods), but rarely devote time to broader sociocultural factors and ethical issues involved in the process. I concluded by suggesting that technical and professional communication can illuminate the pedagogical approaches to data visualization through its ethical, humanistic, and contextual concerns.}, journal={2020 IEEE INTERNATIONAL PROFESSIONAL COMMUNICATION CONFERENCE (PROCOMM 2020)}, author={Kong, Yeqing}, year={2020}, pages={189–190} }
 @article{kong_2019, title={Artificial Intelligence in News Photographs: A Cross-Cultural Visual Content Analysis}, DOI={10.1145/3328020.3353905}, abstractNote={Given that little research has focused on how Artificial Intelligence (AI) is visually constructed in mass media, this article employs visual content analysis to examine the construction of human-AI relations in news media photographs in the U.S. and China. The findings suggest that a human-centered approach should be adopted in the visual communication design of AI. Journalists and professional communicators should make effort to highlight the necessary role of humans and avoid the exclusive focus on AI.}, journal={SIGDOC'19: PROCEEDINGS OF THE 37TH ACM INTERNATIONAL CONFERENCE ON THE DESIGN OF COMMUNICATION}, author={Kong, Yeqing}, year={2019} }