Using ChatGPT in content marketing : enhancing users’ social media engagement in cross-platform content creation through generative AI
Aldous, Kholoud and Salminen, Joni and Farooq, Ali and Jung, Soon-Gyo and Jansen, Bernard; (2024) Using ChatGPT in content marketing : enhancing users’ social media engagement in cross-platform content creation through generative AI. In: HT '24: Proceedings of the 35th ACM Conference on Hypertext and Social Media. Association for Computing Machinery (ACM), pp. 376-383. ISBN 979-8-4007-0595-3 (https://doi.org/10.1145/3648188.3675142)
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Abstract
As the integration of artificial intelligence into social media continues to attract attention, the key impacts on content marketing are still undefined. Initial studies have shown that language models are capable of producing content that is competitive with content created by humans. However, how can such content be tailored for different social media platforms as part of an organization’s content marketing strategy? To address this question, we evaluate the effectiveness of using GPT-4, to generate cross-platform content for Facebook, Instagram, and Twitter (currently X). Participants (N = 892) evaluated 30 AI-created content (ACC) and human-created content (HCC). Findings show that ACC scored higher on preference by users, call-to-action, and emotional responses than HCC for Facebook. However, AI’s advantage wanes on Twitter and Instagram, where posts are terser. The results imply that GPT-4 comprehends what type of content to create for different platforms, making it a useful tool for cross-platform content creation.
ORCID iDs
Aldous, Kholoud, Salminen, Joni, Farooq, Ali ORCID: https://orcid.org/0000-0003-4864-3155, Jung, Soon-Gyo and Jansen, Bernard;-
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Item type: Book Section ID code: 90546 Dates: DateEvent10 September 2024PublishedSubjects: Science > Mathematics > Electronic computers. Computer science > Other topics, A-Z > Human-computer interaction Department: Faculty of Science > Computer and Information Sciences
Faculty of EducationDepositing user: Pure Administrator Date deposited: 12 Sep 2024 08:57 Last modified: 07 Oct 2024 07:19 URI: https://strathprints.strath.ac.uk/id/eprint/90546