Social Computing: An Overview
By M. Parameswaran, Andrew Whinston. Communications of the Association for Information Systems, 2007
405 citations recorded by the source corpus.
A collection of technologies termed social computing is driving a dramatic evolution of the Web, matching the dot-com era in growth, excitement, and investment. All of these share a high degree of community formation, user level content creation, and a variety of other characteristics. We provide an overview of social computing and identify salient characteristics. We argue that social computing holds tremendous disruptive potential in the business world and can significantly impact society, and outline possible changes in organized human action that could be brought about. Social computing can also have deleterious effects associated with it, including security issues. We suggest that social computing should be a priority for researchers and business leaders and illustrate the fundamental shifts in communication, computing, collaboration, and commerce brought about by this trend.
Subfields: Artificial Intelligence, Computer Networks and Communications, Computer Science Applications
View Paper: https://www.semanticscholar.org/paper/e4069c24246f3d1faae5a52a37bccbe10ae005b3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Andrea Everard
- Yong Tan
- Paul Benjamin Lowry
- B. Bederson
- Alexander J. Quinn
- Jinwei Cao
- Bjoern Hartmann
In Computer Networks and Communications
In Computer Science Applications
Citations in the corpus
- The strengths, weaknesses, opportunities and threats of using social software in higher and further education teaching and learning (2010, neutral): “Social software applications such as blogs, wikis and social networking sites describe a new genre of web-based applications enabling new forms of user participation and collaboration on the internet (Parameswaran & Whinston, 2007).”
- Social Networks and the Diffusion of User-Generated Content: Evidence from YouTube (2012, result): “This dual nature of user participation, in content creation as well as opinion formation, is in contrast to earlier online communities that did not enable such rich features of social interaction (Parameswaran and Whinston 2007).”
- Privacy Concerns Versus Desire for Interpersonal Awareness in Driving the Use of Self-Disclosure Technologies: The Case of Instant Messaging in Two Cultures (2011, background): “These technologies facilitate online social interaction and therefore create or recreate social conventions and social contexts [83, 105].”
- Human computation: a survey and taxonomy of a growing field (2011, background): “…that facilitate collective action and social interaction online with rich exchange of multimedia information and evolution of aggregate knowledge…” [48] “… the interplay between persons' social behaviors and their interactions with computing technologies” [15] The key distinction between human…”
- The sharing economy: Why people participate in collaborative consumption (2016, neutral): “In particular, gaining reputation among likeminded people has been shown to motivate sharing in online communities and open-source projects (Parameswaran & Whinston, 2007; Raymond, 1999).”