Social Platform Trust & Safety
exploring the bounds of social platforms’ responsibility to keep the spaces safe
Social Platform Trust & Safety
Hi all,
With major elections happening across the globe this year, we wanted to ensure you are aware of moderation resources that can be very useful during surges in traffic to your community.
First, we have the following mod resources available to you:
*... See more
reddit.comjulia kamin (@juliakamin.bsky.social)
bsky.app
Collaborative google doc w research studies on social platforms’ impact
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
In a world where AI agents are running wild, will we see a new wave of online social spaces that are “human only” - or at least “human verified”?
What are the tradeoffs between Government ID vs. “Selfie verification” (Bumble-style) vs. organizations acting as verifiers (Bluesky-style) vs. peer-to-peer “vouch for humanity” (lobste.rs-style) vs.
Data collection: June 27-July 8, 2021 (UXR) Signals and Insights Platform
The content outlines a survey framework to analyze user experiences on Instagram, focusing on bad experiences, their prevalence, and varying effects across demographics, particularly addressing issues like bullying, data privacy, and usability.
storage.courtlistener.comIG’s Bad Experiences and Encounters Framework Survey
We all declare for liberty; but in using the same word we do not all mean the same thing. With some the word liberty may mean for each man to do as he pleases with himself, and the product of his labor; while with others the same word may mean for some men to do as they please with other men, and the product of other men’s labor. Here are two, not... See more