A Systematic Review of Big Data Techniques, Opportunities, and Challenges for Developing Countries: The Case of Social Media Networks Mining and Analytics

Social media networks (SMNs) serve as global communication platforms where users can share content, images, and videos as well as post comments, follow friends, and share their thoughts. However, developing countries are lagging behind in understanding the techniques, challenges, and opportunities associated with mining and analytics of SMNs Big Data (BD). The study's objective was to review relevant literature to establish awareness and understanding in developing countries about these techniques, opportunities, and challenges associated with mining and analytics of SMNs BD. A systematic literature review analysis was used to address the study objective. The SMNs BD mining and analytics techniques resulting from the review include, but are not limited to, data mining, value chain technique, infosphere big insights, and SMNs BD sentiment analysis. Three categories of challenges discovered on the subject under investigation are process challenges, data challenges, management challenges, and infrastructure challenges. Opportunities discovered during the review include, but are not limited to, business improvements and adjustments, constructing intelligent networks, and customer engagement boosts, among others. Based on the review results, the study proposed SMNs BD management, mining, and analytics steps to guide developing countries in any endeavors aiming at utilizing SMNs BD mining and analytics initiatives.