Sam Liebeskind
@samliebeskind
product partnerships at New_Public; previously community & growth @ Geneva
Sam Liebeskind
@samliebeskind
product partnerships at New_Public; previously community & growth @ Geneva
polarization 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
The essence of positioning is sacrifice. You must be willing to give up something in order to establish that unique position. Nyquil, the nighttime cold medicine, gave up the daytime market. The focus of most marketing operations is just the opposite. They look for ways to broaden their markets by line extension, by size and flavor proliferation,
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