Understanding Sociolytics: A Framework for Social Media Analytics and Decision-Making
Keywords:
Sociolytics, Social Media Analytics, Machine Learning, Sentiment Analysis, Strategic Decision-MakingAbstract
This study explores the concept of Sociolytics, which involves the application of data analytics to social media and digital interactions to derive actionable insights. By integrating methods such as machine learning, sentiment analysis, and social network analysis, Sociolytics provides a comprehensive framework for understanding user behavior, predicting trends, and enhancing decision-making in both business and public policy contexts. This paper highlights the significance of Sociolytics in improving strategic decision-making for small and medium enterprises (SMEs) and its potential in various interdisciplinary fields. The study also emphasizes the increasing importance of real-time data analysis and the role of Sociolytics in adapting to emerging digital trends. Ultimately, Sociolytics is positioned as a crucial tool for leveraging social media data to address complex technical, social, and ethical challenges.
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