Social computing utilizes AI, NLP, and social network analysis for diverse applications, including business prediction and mitigating societal risks. Key studies assess NLP method biases and use emotional text mining to predict crowdfunding outcomes. Research delivers systematic ESG scoring from social sentiment, models cryptocurrency market cascades, and analyzes social media polarization in climate change and COVID-19 disinformation. Finally, advancements democratize AI via low-code education and pioneer emotion recognition in videos and biosensor applications.