Sam Liebeskind
@samliebeskind
product partnerships at New_Public; previously community & growth @ Geneva
Sam Liebeskind
@samliebeskind
product partnerships at New_Public; previously community & growth @ Geneva
All about social networks and polarization vs coexistence & cohesion
How Social Media Affordances Foster Intergroup Contact (academic paper) - Georg Voronin
I don’t think technology alone can fix that. It takes people who care about other people. Caring, I think, is the one thing that cannot be outsourced or automated. We can certainly create the illusion of care, and that illusion might be better than nothing for someone who has none, but ultimately I hope everyone gets access to people who care about
... See morepolarization vs coexistence & cohesion and
There 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