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Abstract
In current scholarly investigations of E-commerce live streaming discourse, it is noteworthy that the datasets procured are overwhelmingly sourced from the realm of Top-tier E-commerce live streaming. In contrast, data pertaining to other categories remains notably underrepresented. This observation presents an intriguing avenue for exploration within the academic domain. This study introduces the novel concept of ‘Streamer Discourse Density’. Focusing on Douyin, the leading giant in the e-commerce platform sphere, our research delves into the top three product categories and systematically compares discourse across Top-tier, Shoulder-Tier, Mid-Tier, Nano-Tier, and Bottom-Tier streams. A comparative analysis is conducted, highlighting the significance of Top-tier E-commerce live streaming data. What is more is that the paper also innovates a quantitative formula as another core linguistic contribution, Streamer Discourse Density, for future scholars and practitioners to better investigate the field of E-commerce live streaming.
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