Evaluation of Images Generated by AI Technology by Social Media Users from Different Cultural Backgrounds: A Case Study of WeChat and Xiaohongshu

Xinyi Xu

doi:10.47297/wspciWSP2516-252709.20230702

PDF
导出
分享
收藏
专辑

Evaluation of Images Generated by AI Technology by Social Media Users from Different Cultural Backgrounds: A Case Study of WeChat and Xiaohongshu

7卷第2期

浏览量: 0 Downloads: 0

Evaluation of Images Generated by AI Technology by Social Media Users from Different Cultural Backgrounds: A Case Study of WeChat and Xiaohongshu
Evaluation of Images Generated by AI Technology by Social Media Users from Different Cultural Backgrounds: A Case Study of WeChat and Xiaohongshu
Xiamen University Malaysia,Selangor,Malaysia,43900
2023年7卷第2期页码：69-75
纸质出版日期： 2023 ，
DOI：10.47297/wspciWSP2516-252709.20230702
Accepted：

Scan QR Code

(2023). Evaluation of Images Generated by AI Technology by Social Media Users from Different Cultural Backgrounds: A Case Study of WeChat and Xiaohongshu. 创意与创新（英文版）, 7(2), 69-75.

Xinyi Xu. (2023). Evaluation of Images Generated by AI Technology by Social Media Users from Different Cultural Backgrounds: A Case Study of WeChat and Xiaohongshu. Creativity and Innovation, 7(2), 69-75.
(2023). Evaluation of Images Generated by AI Technology by Social Media Users from Different Cultural Backgrounds: A Case Study of WeChat and Xiaohongshu. 创意与创新（英文版）, 7(2), 69-75. DOI： 10.47297/wspciWSP2516-252709.20230702.

Xinyi Xu. (2023). Evaluation of Images Generated by AI Technology by Social Media Users from Different Cultural Backgrounds: A Case Study of WeChat and Xiaohongshu. Creativity and Innovation, 7(2), 69-75. DOI： 10.47297/wspciWSP2516-252709.20230702.

摘要

Abstract

This paper aims to explore the acceptance of AI-generated images by users of different cultural backgrounds and social media platforms (taking WeChat and Xiaohongshu users as examples) through experiments and find that such acceptance is affected by specific factors. In order to explore the acceptance of AI composite images by users of different platforms

this study analyzes this phenomenon by using the Elaboration Likelihood Model(ELM) through a questionnaire survey. The study found that WeChat users in China generally had a positive attitude toward AI-generated images

while Xiaohongshu users were more inclined to give negative reviews. This indicates that the edge clue of whether the picture is synthesized by AI is accepted differently by users on different social media

while the results of different cultural backgrounds are not significant.

关键词

Keywords

Artificial intelligenceSocial mediaAI-generated picturesElaboration Likelihood Model

references

Block, D. (2023). Artificial Intelligence is changing social media. VOA. Retrieved from https://www.voanews.com/a/artificial-intelligence-is-changing-social-media-/7186991.html.[2] Artificial Intelligence. (2023). Encyclopedia Britannica. Retrieved from https://www.britannica.com/technology/artificial-intelligence.[3] Beveridge, C. (2023). What is user-generated content? and why is it important? Social Media Marketing & Management Dashboard. Retrieved from https://blog.hootsuite.com/user-generated-content-ugc/.[4] Wu, J., Gan, W., Chen, J., Wan, S., & Lin, H. (2023). AI-Generated Content (AIGC): A Survey. Cornell University. https://doi.org/10.48550/arXiv.2304.06632.[5] Pemarathna, R. M. M. D. (2019). Impact of Xiaohongshu on its user base and society: a review. Proc IRE, 2(11).[6] Montag, C., Becker, B., & Gan, C. (2018). The multipurpose application WeChat: a review on recent research. Frontiers in Psychology, 9, 2247.[7] Lou, Y. (2019). The impact of "AI synthetic anchors" on the news industry - taking Xinhua News Agency's "AI synthetic anchors" as an example. Media, 3.[8] Dagnon, S. (2018). Using Chatbots for Social Media Marketing. Retrieved from https://mavsocial.com/chatbots-social-media-marketing/.[9] Frankenfield, J. (2018). Chatbot. Retrieved from https://www.investopedia.com/terms/c/chatbot.asp[10]Kreimer, I. (2018). How to Get Started with AI-Powered Content Marketing. Retrieved from https://www.singlegrain.com/artificial-intelligence/how-to-get-started-with-ai-powered-contentmarketing/.[11]Karnouskos, S. (2020). Artificial Intelligence in digital media: The Era of Deepfakes. IEEE Transactions on Technology and Society, 1(3), 138–147. doi:10.1109/tts.2020.3001312.[12]Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion,. Springer New York, 1-24.[13]Petty, R. E., & Briñol, P. (2011). The elaboration likelihood model. In Handbook of Theories of Social Psychology, 224-45.