Publishing and sharing content through software has become a regular part of Social Computing today [the term Social Computing is used in the sense defined in Wikipedia (Social computing - Wikipedia, defined in [6].)]. This paper shows how we can achieve social cohesion despite varied software pieces working in their unique way and providing their specialized content. It defines a software methodology to design better socially responsive software by representing Intentions in code and using that as an open inter-component communication mechanism with more ownership and responsibility for both publisher and receiver. Intention Space introduces, for the first time, a close knitting of context and intentions at the core of the computation process, which has not been possible until now.
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P. C. Pal (2024) studied this question.
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