Decentralized Autonomous Organizations (DAOs) have gained widespread attention in academia and industry as potential future models for decentralized governance and organization. In order to understand the trends and future potential of this rapidly growing technology, it is crucial to conduct research in the field. This research aims at a data-driven approach for the objective content analysis of big data related to DAOs, using text mining and Latent Dirichlet Allocation (LDA)-based topic modeling. The study analyzed tweets with the hashtag #DAO and all Reddit data with “DAO”. The results were from the identification of the top 100 frequently appearing keywords, as well as the top 20 keywords with high network centrality, and key topics related to finance, gaming, and fundraising, from both Twitter and Reddit. The analysis revealed twelve topics from Twitter and eight topics from Reddit, with the term “community” frequently appearing across many of these topics. The findings provide valuable insights into the current trend and future potential of DAOs, and should be used by researchers to guide further research in the field and by decision makers to explore innovative ways to govern the organizations.

would increase their robustness and sustainability (also at social levels) by inhibiting speculative behaviours. In considering these aspects, this entry aims at replying to the following questions: What are the main religious features characterizing and inspiring Islamic Banking (IB) and Islamic Financial Institutions (IFIs)? Why IFIs and IBs have been gathering momentum over the last decades? Are IBs and IFIs more resilient to crises? Are the ethical principles and practices guiding IBs and IFIs in line with the evolution of the conventional banking and financial industry? Where do they differ and which are the most relevant strengths and weaknesses? To what extent can IB and IFIs be considered as valid alternatives to increase the solidity and sustainability of the existing financial and economic markets?

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