Epistemic Dynamics in Social Media Discourse
Summary
Epistemic dynamics in social media discourse refer to how digital platforms mediate the production, distribution and transformation of knowledge within and across user communities. These processes encompass algorithmic filtering, network effects, peer-to-peer endorsement and feedback loops that shape collective understanding. By analysing conversation networks, recommendation systems and engagement metrics, researchers reveal patterns of belief formation, misinformation propagation and polarisation. The interplay between user agency and platform design gives rise to phenomena such as echo chambers, filter bubbles and epistemic cascades, which influence individual credibility assessments and communal knowledge standards. Insights from social epistemology, computational social science and communication theory converge to chart how information flows, how trust is established or eroded, and how epistemic authority is negotiated in real time. This body of work has global significance for public health communication, democratic deliberation and digital literacy, offering pathways to design interventions that foster critical reflection, counteract misinformation and promote more inclusive knowledge ecosystems.
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Epistemic Dynamics in Social Media Discourse publication trend
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Technical terms
Epistemic dynamics: The processes through which knowledge is produced, circulated and validated within a community.
Filter bubble: A state of intellectual isolation in which algorithms selectively expose users to information that aligns with their existing beliefs.
Epistemic inequality: Disparities in access to credible information and the capacity to participate in knowledge exchange.
Algorithmic curation: Automated selection and prioritisation of content based on user data and inferred preferences.
References
- Defending Democracy: Prioritizing the Study of Epistemic Inequalities. Political Communication (2024).
- Filter Bubbles and the Unfeeling: How AI for Social Media Can Foster Extremism and Polarization. Philosophy & Technology (2024).
- Understanding Fake News Consumption: A Review. Social Sciences (2020).
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