Suchergebnisse

AbstractBitcoin went from being an obscure online project to a globally exchanged money valued at tens of thousands of dollars (USD) per unit. It has achieved this in spite of fundamental irreconcilabilities between the economic theories which spurred its creation and its own material basis. This article investigates how this happened using a computationally grounded analysis of 100 000s of messages from the early years of Bitcoin's two main online communities. It will show how the continuing divergence in participants' understandings of why Bitcoin possessed value ultimately gave way to an emerging focus on the social problem of adoption. In demonstrating this shift and accompanying promotion of activities that affirmed Bitcoin had value in practice, this article with argue that shared meaning in the form of practical affirmations of worth, rather than conceptual understandings of it, are key to communities' ability to 'bootstrap' a money's initial economic value.

Although sociologists have frequently touched on ideas related to brokerage in their research, brokerage is rarely considered a central concept in the discipline's theoretical or analytic arsenal. Theoretically, brokerage is one of a small number of mechanisms by which disconnected or isolated individuals (or groups) can interact economically, politically, and socially. Across substantive domains, we are particularly struck by a dual aspect of brokerage: On the one hand, brokerage has the capacity to ease social interaction, enhance economic activity, and facilitate political development. On the other hand, brokerage often breeds exploitation, the pursuit of personal profit, corruption, and the accumulation of power; through these and other processes, brokerage can exacerbate existing inequalities. In this review, we make the case for elevating the concept of brokerage to a more prominent place in the sociological canon. Brokerage's significance stems from its potential for macro-level consequences, which are revealed primarily through its impact on the permeability of group boundaries. However, because brokerage is built from informal, personal relationships, understanding it requires close attention to micro-level relations and social psychological processes.

Deliberative and participatory approaches to democracy seek to directly include citizens in decision-making and agenda-setting processes. These methods date back to the very foundations of democracy in Athens, where regular citizens shared the burden of governance and deliberated every major issue. However, thinkers at the time rightly believed that these methods could not function beyond the scale of the city-state, or polis. Representative democracy as an innovation improved on the scalability of collective decision making, but in doing so, sacrificed the extent to which regular citizens could participate in deliberation. Modern technology, including advances in computational power, machine learning algorithms, and data visualization techniques, presents a unique opportunity to scale out deliberative processes. Here we describe Polis, an open source web application capable of collecting and synthesizing feedback from people in a scalable and distributed fashion. Polis has shown itself capable of building shared understanding, disincentivizing counterproductive behavior (trolling), and cultivating points of consensus. It has done this in the context of journalistic and academic research, and directly as part of decision-making bodies at local and national levels, directly affecting legislation. These results demonstrate that deliberative processes can be scaled up beyond the constraints of in-person gatherings and small groups.

Deliberative and participatory approaches to democracy seek to directly include citizens in decision-making and agenda-setting processes. These methods date back to the very foundations of democracy in Athens, where regular citizens shared the burden of governance and deliberated every major issue. However, thinkers at the time rightly believed that these methods could not function beyond the scale of the city-state, or polis . Representative democracy as an innovation improved on the scalability of collective decision making, but in doing so, sacrificed the extent to which regular citizens could participate in deliberation. Modern technology, including advances in computational power, machine learning algorithms, and data visualization techniques, presents a unique opportunity to scale out deliberative processes. Here we describe Polis, an open source web application capable of collecting and synthesizing feedback from people in a scalable and distributed fashion. Polis has shown itself capable of building shared understanding, disincentivizing counterproductive behavior (trolling), and cultivating points of consensus. It has done this in the context of journalistic and academic research, and directly as part of decision-making bodies at local and national levels, directly affecting legislation. These results demonstrate that deliberative processes can be scaled up beyond the constraints of in-person gatherings and small groups.