Discourse Analysis of Indonesian Sharia Stocks: Insights from Twitter Using Social Network Analysis

Abstract

This study employs computational network analysis to investigate the digital discourse surrounding Indonesian Sharia stocks on Twitter. Using Social Network Analysis (SNA) and the Drone Emprit Academic (DEA) tool, the study analyzes Twitter conversations related to Sharia stocks from May 21 to June 19, 2023. The analysis focuses on identifying the most active users, popular topics, influential sources, sentiment trends, and demographic characteristics of the Twitter community engaged in discussions about Sharia stocks. The results reveal peak activity on May 26, 2023, with a surge in mentions, retweets, and replies, indicating a potential reaction to significant events or news related to Sharia stocks. Sentiment analysis indicates a higher prevalence of negative comments compared to positive ones. The study also identifies key influencers and influential websites contributing to the discourse. Demographic insights suggest that millennials aged 19-29 years constituted the most active age group, while male users dominated the conversations. The findings contribute to understanding the digital pulse of the Sharia stock market in Indonesia and highlight the potential of computational network analysis in exploring social media discussions related to financial markets.