This research analyses AI influencers that apply computer graphics to create data visualisation techniques. There are also some guidelines attached to this research, which aims to do the best job of getting data spread into graphical representations. These focus primarily on visual components and design principles rather than specific technologies or algorithms like tree maps for instance; they stay far removed from numbers without context. For this study, research methods are quantitative and qualitative. We combine the two approaches to get both cross-sectional data and subjective experiences over time. When they look into the visual aspects of AI influencer messages on social media platforms, researchers need to some extent, to create treated data that categorises colour, how text winds around the page, font face and even elements used in data representational shape. It must also look into possible ethical issues involved with data-driven visual communication via AI influencers, such as transparency and potential bias. We hope for strict ethical standards in visual data processing as well as image communications in general. Only online robots have this look. So-called artificial intelligence influencer is an entirely autonomous program below the illusion that it behaves like human beings when in fact, everything went its way from the beginning. These life stories have highly detailed physical descriptions of characters, created using advanced algorithms and machine learning techniques. In addition to continuous availability, consistent messages and bridging of time and space Traditional This rising new species aspires to become social but It would be breaking through a certain degree of Fake which is the reason why Weibo Identity just will not work anymore. Once this technology develops, AI influencers are going to fundamentally change digital marketing and in particular, they will revolutionise the way brands communicate with their target audiences.

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Analysing the Visual Communication Strategies of AI Influencers: Insights for Effective Data Visualisation

  • P. W. Chau,
  • Amic G. Ho

摘要

This research analyses AI influencers that apply computer graphics to create data visualisation techniques. There are also some guidelines attached to this research, which aims to do the best job of getting data spread into graphical representations. These focus primarily on visual components and design principles rather than specific technologies or algorithms like tree maps for instance; they stay far removed from numbers without context. For this study, research methods are quantitative and qualitative. We combine the two approaches to get both cross-sectional data and subjective experiences over time. When they look into the visual aspects of AI influencer messages on social media platforms, researchers need to some extent, to create treated data that categorises colour, how text winds around the page, font face and even elements used in data representational shape. It must also look into possible ethical issues involved with data-driven visual communication via AI influencers, such as transparency and potential bias. We hope for strict ethical standards in visual data processing as well as image communications in general. Only online robots have this look. So-called artificial intelligence influencer is an entirely autonomous program below the illusion that it behaves like human beings when in fact, everything went its way from the beginning. These life stories have highly detailed physical descriptions of characters, created using advanced algorithms and machine learning techniques. In addition to continuous availability, consistent messages and bridging of time and space Traditional This rising new species aspires to become social but It would be breaking through a certain degree of Fake which is the reason why Weibo Identity just will not work anymore. Once this technology develops, AI influencers are going to fundamentally change digital marketing and in particular, they will revolutionise the way brands communicate with their target audiences.