Social computing is a cross-disciplinary research area that studies the intersection of technology, specifically computational systems, and social behavior, or human social dynamics. Social computing (systems) include any software that supports social interactions. Social media or social networking platforms, email, instant messaging applications, content-sharing sites, and crowdsourcing platforms are examples of social computing.
In today's world, technology is becoming increasingly prevalent in our daily lives and society. It is crucial to comprehend both the positive and negative impacts of technology. By understanding its effects, we can make informed decisions and navigate the digital world responsibly, thereby minimizing any harm that social technology, such as social media, may bring.
Our research on social computing focuses on understanding the interplay between technology and society. In particular, our research on social computing focuses on areas like online social networks, misinformation, and crowdsourcing. Furthermore, our research focuses on developing novel tools and techniques to improve (or address) the challenges in social computing, such as misinformation in social media or news.
Sustainable Development Goals:
Our research on social computing aligns with the following Sustainable Development Goals of the United Nations: