polarization vs coexistence & cohesion
Doing stuff together, especially with people from different backgrounds than our own, is going to be really important for the future of the country. And it’s going to take a set of “muscular institutions”—institutions that aren’t bashful about asserting their prerogatives—to get us there.
The paradox of “muscular institutions”
National service program as a way to bridge
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Deliberative Technology: Designing AI and Computational Democracy for Peacebuilding in Highly-Polarized Contexts
The report discusses a workshop focused on utilizing deliberative technologies to enhance democratic processes, promote social cohesion, and address polarization in various global contexts, emphasizing citizen participation and collective intelligence.
toda.org
Our systems, institutions, leaders and narratives about who and what we are — our lack of compassion and limited definitions of what a valued member of society is — are failing us. They have been failing us for quite some time
Stephanie Dinkins • Afro-Now-Ism
If a single status game becomes dominant, it breeds violence. Social fragmentation is a release valve.
Social Media Algorithms Can Shape Affective Polarization via ...
arxiv.orgThere is widespread concern about the negative impacts of social media feed ranking algorithms on political polarization. Leveraging advancements in large language models (LLMs), we develop an approach to re-rank feeds in real-time to test the effects of content that is likely to polarize: expressions of antidemocratic attitudes and partisan animosity (AAPA). In a preregistered 10-day field exper- iment on X/Twitter with 1,256 consented participants, we increase or decrease participants’ exposure to AAPA in their algorithmically curated feeds. We observe more positive outparty feelings when AAPA exposure is decreased and more neg- ative outparty feelings when AAPA exposure is increased. Exposure to AAPA content also results in an immediate increase in negative emotions, such as sadness and anger. The interventions do not significantly impact traditional engagement metrics such as re-post and favorite rates. These findings highlight a potential pathway for developing feed algorithms that mitigate affective polarization by addressing content that undermines the shared values required for a healthy democracy