Abstract
“That social networks are hard to penetrate” is an often given reason for recent corporate investment decreases in this technology. The cause is the traditional mass market perspective: firms use social networks to connect with, and eavesdrop on, customers. The result: online ads weakly aligned to customer conversations. One alternative: adopt a Language–Action Perspective; identify the market created by a conversation in a social network. The result: online ads strongly aligned to that conversation. One measure of this alignment is the mental distance between the intent of a social network conversation and the intent of the online ads that surround it. This paper will: explore the nature of “intention” in social networks, introduce its elements, show how these elements can create data and software architecture, and show how to create better online ads.
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Marca, D.A. (2013). E-Business and Social Networks: Tapping Dynamic Niche Markets Using Language-Action and Artificial Intelligence. In: Cordeiro, J., Virvou, M., Shishkov, B. (eds) Software and Data Technologies. ICSOFT 2010. Communications in Computer and Information Science, vol 170. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29578-2_1
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