Description
In this talk, we will illustrate how computational methods for media analysis (text and images) can facilitate critical analysis of digital culture. Data-driven, quantitative analyses can reveal trends among user communities and enable researchers to map out current digital cultural practices. Especially methods related to Natural Language Processing (NLP) and image classification are particularly useful for analyzing digital media content on a large scale. For example, topic modeling and sentiment analyses enable the empirical investigation of cultural discourses on online platforms. However, in alignment with the principles of cultural analytics (Manovich, 2020) and Digital Methods (Schäfer and van Es, 2018), we also propose to connect the computational methodologies with qualitative analytical steps in mixed-methods research designs. The presentation will introduce this approach with different examples from the Global West and Global South.| Period | 16 May 2024 |
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| Event title | Dalian University of Technology: Academy for Games & Media, Serious Games, Innovation & Society |
| Event type | Workshop |
| Location | Dalian, ChinaShow on map |
| Degree of Recognition | International |