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[2024-01] Exploring the expectation dynamics on the metaverse using X(Twitter) data

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  • 날짜 2024.02.26
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[2024-01] Exploring the expectation dynamics on the metaverse using X(Twitter) data
 
  
Kyongchyol Yang
Moon Soul Graduate School of Future Strategy, KAIST
 
Jaemin Jung
Moon Soul Graduate School of Future Strategy, KAIST
 
  
Abstract
This study aims to empirically investigate the role of expectations in innovation diffusion using metaverse discourse on social media. Expectations play a crucial role in the hype cycle and are involved in determining the direction of technological change and the speed of adopting innovations.We analyzed tweet data containing metaverse from January 2021, the year the metaverse first gained public attention, to May 2023, the latest available date. We performed topic modeling and extracted 218 topics. Results revealed that the peak number of tweets in the metaverse wasconcentrated in specific periods, but the timing of the decline in the number of tweets shows different patterns depending on the topic. After categorizing the extracted topics into themes, we conducted sentiment analysis to observe expectation changes. Expectations of metaverse technology changed over time: initially, positive emotional expectations were high, but after a certain point, they declined. Over time, we also found an increase in logical expectations, which includes results and outcomes for the metaverse-related projects started in the second half of 2021 and beyond. The combination of topic modeling and sentiment analysis provides a new approach to investigating public discourse and a comprehensive view of the collective flow around new technologies.
  
 
Keywords
Metaverse, Innovation diffusion, Innovation expectation, Hype cycle
 
 

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