Abstract
This study intends to analyze research trends in user-generated content and engagement on social media for the five years leading up to 2024 in response to the growing interest of firms and academics in transitioning to digital marketing. This evaluation employed a bibliometric literature review and analysis to chart the development of the field from 2019 to 2023. Two hundred fifty-four papers were obtained from the original title search results using the Scopus engine. To create and examine network visualizations of user-generated content and engagement trends, the data is exported in CSV format to the VOS-viewer software. Of the 61 research articles published, publications from the United States are the most numerous. A subseries of computer science lecture notes is accessible. The top publication source is Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, which produces three papers annually. The results indicate that five distinct groupings were created by merging countries’ bibliographies. Social Media, User-Generated Content, and Social Networking are widely discussed and popular subjects. Two primary shortcomings have been brought to light by this sector’s research. First, there needs to be more testing or variation in digital marketing methods across various industries. Second, creating these models should consider user-generated content and social media engagement. Contributing to the body of knowledge on User-Generated Content and Engagement, this study provides academicians and professionals with a valuable analysis of research patterns and recommendations for prospective areas of study in the future.
Keywords: Bibliometric Literature Review, Engagement, Social Media, User-Generated Content.