The Intersection of Social Media and Investment Behaviour: A Bibliometric Analysis

Abstract

This study conducts a bibliometric analysis of academic literature exploring the intersection of social media and investment decision-making from 2005 to 2024. Using the Bibliometrix tool and data sourced from the Scopus database, the research maps publication trends, identifies influential authors, examines thematic patterns, and assesses geographic contributions to this emerging area. The findings reveal a limited volume of literature, with only 60 relevant publications identified over the studied period. Institutional participation appears fragmented, and co-authorship analysis indicates minimal collaboration, with just one connected author cluster across the dataset. Frequently occurring keywords such as behavioral finance, sentiment analysis, and social networking suggest that the field primarily focuses on psychological and data-driven influences on investor behavior. The geographic distribution shows a concentration of research output in a few countries, particularly China, the United Kingdom, and India, while global representation remains limited. Overall, the analysis provides a structured overview of the existing scholarly landscape and sheds light on the intellectual structure of a domain that is increasingly relevant in the context of digital finance and investor behavior influenced by online platforms.