Sam Liebeskind
@samliebeskind
product partnerships at New_Public; previously community & growth @ Geneva
Sam Liebeskind
But there is a better solution: allowing users to ban with one click not just the author of a bigoted remark but also every one of the thousands of people who liked the offending post.
How Social-Media Sites Can Fight Hate Without Censorship
Social Media Algorithms Can Shape Affective Polarization via ...
arxiv.orgpolarization 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
Slide decks hide can shallow thinking. Narratively structured memos are harder to write because they require better thinking. It’s worth it.
nametwitter.comRediscovering the Pleasures of Pluralism: The Potential of Digitally Mediated Civic Participation — Digitalist Papers
Alex Pentlanddigitalistpapers.com
Spotify's use of the DIBB framework (Data -> Insight -> Belief -> Bet) is an interesting visual example of how to prioritize initiatives and align teams.
This method helps drive North Star goals by focusing efforts and offering context and guidance for individual teams. https://t.co/0IhBvQPU95
The pattern is the same: the most sophisticated platforms are treating user behavior as sequences, not snapshots, recognizing that static embeddings miss the temporal dynamics and session context of how people actually use these products.
Mike Cohen • How the Substack feed is learning to understand your reading journey
Our model, which we call Form-From , characterizes social media based on (1) the form of the content, either threaded or flat, and (2) from where or from whom one might receive content, ranging from spaces to networks to the commons.
Form-From: A Design Space of Social Media Systems
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.