Open AccessThe Commuting Behavior Evolution in Suburban Express Line after Operation: Based on Multi-Source Space-Time Big Data
Author(s) -
Yi Zhang Guo,
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Lixuan Min,
Huize Yang,
Lujian Yang,
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Publication year - 2021
Publication title -
journal of innovation and social science research
Language(s) - English
Resource type - Journals
ISSN - 2591-6890
DOI - 10.53469/jissr.2021.08(12).12
Subject(s) - virtual reality , framing (construction) , computer science , immersion (mathematics) , narrative , big data , coding (social sciences) , news media , theme (computing) , media content , content analysis , multimedia , data science , human–computer interaction , world wide web , media studies , sociology , engineering , art , data mining , mathematics , social science , literature , structural engineering , pure mathematics
Virtual Reality news (VR news) provides news reports relying on virtual reality technology, creating a strong sense of immersion and presence. It is a new format of news and a new application for immersive media. Previous researches studies on VR news mainly focus on the range of topics and the media effect, and point out the advantages and disadvantages of them. However, the content of VR news is usually neglected. This research aims to conduct a content analysis on the VR news from CCTV.com by applying the framing theory. The coding scheme is designed based on Zang Guoren’s three-level structures theory, analyzing 220 pieces of news in total. According to the objective data obtained through the analysis, the conclusion is drawn on significant features about VR news, including theme, source, tendency, narrative structure, multimodal presentation, and framework. This research has theoretical significance for it applies the framework theory to analyze the VR news, and also provides inspiration for the production of VR news and the media industry.