Social Computing: From Social Informatics to Social Intelligence

By Fei-Yue Wang, Kathleen M. Carley, Daniel Zeng, W. Mao. 2007

174 citations recorded by the source corpus.

Subfields: Sociology and Political Science, Statistical and Nonlinear Physics, Human-Computer Interaction

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Sociology and Political Science

1. Maarten Sap
2. Yejin Choi
3. Ronan Le Bras
4. Diyi Yang
5. Yulia Tsvetkov
6. Noah A. Smith

In Statistical and Nonlinear Physics

1. Daqing Zhang
2. Yejin Choi
3. Daniel Fried

In Human-Computer Interaction

1. Yejin Choi
2. Maarten Sap

Citations in the corpus

• Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs (2022, methodology): “These reasoning abilities are becoming increasingly necessary as AI assistants are used in situations that require social intelligence and Theory of Mind in order to operate effectively (Wang et al., 2007; Dhelim et al., 2021; Langley et al., 2022).”
• Bridging the Gap between Social Animal and Unsocial Machine: A Survey of Social Signal Processing (2012, unknown): “for interacting with their users [10], and are the platform through which large scale social activities take place online [11].”
• Opportunistic IoT: Exploring the harmonious interaction between human and the internet of things (2013, background): “interaction analysis as well as the design and use of technologies that consider social context [13].”
• On the Interpretation of Digital Trace Data in Communication and Social Computing Research (2014, unknown): “-Y. Wang, Carley, Zeng, and Mao (2007), synthesizing from multiple sources, define social computing as the ‘‘computational facilitation of social studies and human social dynamics as well as the design and use of ICT technologies that consider social context’’ (p. 79).”