Journal publications 学术期刊文章

Zhang, X., Liu, J., Wang, X., Ma, W., & Yan, P. (2024). Examining information needs of public data service users: a study based on the ‘Message Board for Leaders of People’s Daily in China’. Information Research an International Electronic Journal, 29(2), 701–723. https://doi.org/10.47989/ir292857

Yan Pu, Lu Jieyu, Zhao Yueyan, Zhou Wenjie. (2023). “Trapped” by Recommendation Algorithms? A Mixed Methods Study on the Use of Content Recommendation System in Everyday Life in Western China. In Information for a Better World: Normality, Virtuality, Physicality, Inclusivity: 18th International Conference, iConference 2023, Virtual Event, March 13–17, 2023, Proceedings, Part II, pp. 449-472. Springer Nature Switzerland.

Shuyi Wei, Yan Pu (2023). Measuring users’ awareness of content recommendation algorithm: A survey on Douyin users in rural China. In Information for a Better World: Normality, Virtuality, Physicality, Inclusivity: 18th International Conference, iConference 2023, Virtual Event, March 13–17, 2023, Proceedings, Part I, pp. 197-220. Springer Nature Switzerland.

Conference papers 会议论文

Yan Pu, Zhao Jie, Schroeder Ralph. (2024). News delivered to the fingertips: Exploring news consumption variances using large-scale user log and survey data. Association of Internet Researchers, AoIR. Sheffield, UK, 30 October – 2 November 2024.

Tian Yunci, Liu Chang, Yan Pu. (2024). Exploration of Digital Nomads on a Picture-based social media: Visual Aesthetics and Thematic Preferences. International Communication Association, ICA. Gold coast, Australia, 20 June – 24 June 2024.

Ma Wanteng, Yan Pu. (2024). Exploring “Bully-victim Cycle” in Appearance-related Cyberbullying Relevant Factors, Formation Mechanisms, and Negative Impact. International Communication Association, ICA. Gold coast, Australia, 20 June – 24 June 2024.

Zhao Jie, Yan Pu. (2023). Mapping the Digital Divides in Smartphone Usage in the USA: A Triangulation of Large-Scale Mobile Log and Survey Data. Annual Meeting of the Association for Information Science and Technology, ASIS&T. London, UK, 27-31 October 2023.