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Skepticism and Sentiment Analysis to Understand Consumer Perception of Virtual Influencers in Social Media Advertising

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Social media advertising has become one of the most popular forms of advertising in recent years. Advancements in video and image generation have led to the creation of avatars, which have changed the landscape of online marketing. The avatars used for social media advertising are known as virtual influencers. In this paper, we use Instagram comments to observe consumer perceptions of virtual influencers (VIs) and human influencers (HIs) in social media advertising. By investigating how consumers engage with and respond to VIs, the study aims to provide insights into their effectiveness compared to HIs. In this study, we consider two timelines, pre- and post-pandemic, for different types of posts by VIs and HIs. We focus mainly on two user-affective states: sentiment and skepticism. The results show that VIs are perceived with more negativity and skepticism compared to HIs, irrespective of the type of post in both time periods. However, negative and skeptical responses towards VIs decreased post-pandemic. This empirical study provides insights into the evolving field of influencer advertising and highlights changes in consumer perception pre- and post-pandemic towards VIs and HIs.

Original languageEnglish (US)
Title of host publicationProceedings - 2024 IEEE International Conference on Big Data, BigData 2024
EditorsWei Ding, Chang-Tien Lu, Fusheng Wang, Liping Di, Kesheng Wu, Jun Huan, Raghu Nambiar, Jundong Li, Filip Ilievski, Ricardo Baeza-Yates, Xiaohua Hu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3070-3074
Number of pages5
ISBN (Electronic)9798350362480
DOIs
StatePublished - 2024
Event2024 IEEE International Conference on Big Data, BigData 2024 - Washington, United States
Duration: Dec 15 2024Dec 18 2024

Publication series

NameProceedings - 2024 IEEE International Conference on Big Data, BigData 2024
ISSN (Print)2639-1589
ISSN (Electronic)2573-2978

Conference

Conference2024 IEEE International Conference on Big Data, BigData 2024
Country/TerritoryUnited States
CityWashington
Period12/15/2412/18/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Skepticism detection
  • influencer marketing
  • sentiment analysis
  • social media advertising
  • virtual avatars

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