Blog #3
Community: it is a word that appears everywhere in discussions of politics, social life, and digital culture, yet it often remains strangely vague. It is almost annoyingly present in political discourse. On social media platforms, the term is used constantly.. The word does important work, but it also tends to conceal the difficulty of what it names. What exactly makes a community a community? Is it shared identity, shared values, shared experience, or shared exposure to a world that does not receive us equally?
A great deal of political thought has associated community with some version of the common. People belong together because they share a history, a language, a territory, a norm, or a set of commitments. That model remains powerful, and in some contexts it is indispensable. Yet it also carries risks. It can make community appear more unified than it is. It can privilege sameness over relation. It can lead us to think that a collective exists only when it can identify what is common to all its members.
There is another way of approaching the issue, one that has been especially important in European philosophy, and one that I find increasingly useful for thinking about digital life. On this view, community does not arise from the possession of a stable common essence. It emerges through exposure to difference, through finitude, through vulnerability, or through the fact that no one fully coincides with themselves or with the group to which they are said to belong. Community is not a completed unity. It is a relation that remains open and provisional.
This is important when thinking about online political formations. Many digital collectivities are not held together by a thick shared identity. They are looser than that. People gather around a wound, an event, an experience of exclusion, or a name that becomes a point of recognition. What they share may not be a positive substance. It may be a relation to harm, or a sense that something in the world has failed to accommodate them. That kind of collectivity can still be real. In fact, it may be one of the most characteristic forms of community in digital space.
Hashtag activism offers many examples. People do not necessarily know one another, belong to the same institution, or inhabit the same social location in any complete sense. Yet they participate in a space of mutual recognition through which a form of commonality appears. That commonality may be temporary, contested, or unevenly distributed. Even so, it allows people to feel that their experience is not singular.
What interests me is that this kind of community is not well captured either by liberal individualism or by older images of political belonging. It is neither simply a collection of separate persons expressing private views, nor a stable collective grounded in identity or nation. It is held together by circulation, repetition, and recognition, often forming through vulnerability rather than despite it.
This is where the distinction between the common and the different becomes productive. Community may not rest on the discovery of what we all share in a positive sense. It may instead depend on the possibility of being related through what does not fully coincide. A community of difference is not one in which difference is merely tolerated around a deeper sameness. It is one in which relation is possible because no final closure has been achieved.
This matters politically because injustice is often recognised through exactly such imperfect collectivities. People do not have to become the same in order to speak together. They do not have to erase differences in position, history, or language for something common to emerge. What appears instead is a shared field of concern that remains internally differentiated. That is perhaps what is novel, or at least newly articulated, in the experience of belonging in the digital public sphere.
*Please note: this blog has been dictated, with AI-enabled writing technology used in the process. All notes have been reviewed by the author. This part of an effort to try to find productive and responsible ways to use generative AI.
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