{"podcast":{"title":"Data Skeptic","slug":"data-skeptic","podcast_index_feed_id":587881,"rss_url":"https://dataskeptic.libsyn.com/rss","website_url":"https://dataskeptic.com","image_url":"https://static.libsyn.com/p/assets/0/e/4/b/0e4bd71bb64c6e45/DS_-_New_Logo_assets_-_JL_DS_Logo_Stacked_-_Color_2.jpg","author":"Kyle Polich","episode_count":601,"summary":"The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.","last_synced_at":null,"page_url":"https://stenobird.com/podcast/data-skeptic"},"episode":{"title":"Why Am I Seeing This?","slug":"why-am-i-seeing-this","published_at":"2025-09-08T20:11:00+00:00","page_url":"https://stenobird.com/podcast/data-skeptic/why-am-i-seeing-this","show_page_url":"https://stenobird.com/podcast/data-skeptic","url":"https://dataskeptic.com/blog/episodes/2025/why-am-i-seeing-this","audio_url":"https://pscrb.fm/rss/p/mgln.ai/e/35/traffic.libsyn.com/secure/dataskeptic/Dimitri_Gregor_Sabrina_Podcast_with_Ads.mp3?dest-id=201630","summary":"Researchers present a 'recommender neutral user model' designed to simulate social media dynamics without needing proprietary platform logs. The discussion explores how optimizing for engagement-based reward functions can inadvertently drive polarization and echo chambers.","meta_description":"Learn how the 'recommender neutral user model' helps researchers study the impact of opaque social media algorithms on user behavior and polarization.","key_points":["Main idea: The recommender neutral user model uses a graph-neutral approach to learn user behavior without being biased by specific platform objectives","Failure mode: Optimizing for engagement-based reward functions can inadvertently promote polarizing content because high-conflict interactions drive time-on-platform","Practical takeaway: Researchers can use synthetic data and computational models to simulate how different recommendation strategies might steer users even without private company logs","Challenge: Studying social media impact is difficult because most high-quality datasets are proprietary and lack essential social connection data","Core tension: There is a significant gap between the well-intentioned goal of surfacing relevant content and the unintended consequence of creating information silos"],"chapters":[{"start_ms":60000,"title":"The Recommender Neutral User Model","summary":"Introduction to a graph-neutral approach that simulates user behavior without needing privileged access to platform logs."},{"start_ms":265000,"title":"The Scarcity of Social Datasets","summary":"A look at why existing datasets like Amazon reviews are insufficient for studying social connections and network dynamics."},{"start_ms":515000,"title":"Modeling Social Dynamics","summary":"Discussing the necessity of using computational models to study social media when platform data is kept private by companies."},{"start_ms":720000,"title":"The Difficulty of Predicting Neural Models","summary":"Why having code or pseudocode is insufficient for predicting the behavior of large-scale neural recommendation engines."},{"start_ms":970000,"title":"Learning Baseline Behavior","summary":"The goal of minimizing the influence of specific recommenders to establish a baseline of user behavior."},{"start_ms":1205000,"title":"Learning Directly from Graph Data","summary":"How the model learns to behave like a user under different recommendation environments using graph-based learning."},{"start_ms":1425000,"title":"Experimental Results on Bias","summary":"Comparing user decision-making when exposed to fair versus biased recommendation distributions."}],"topics":["Recommender Systems","Social Media Algorithms","Graph Neural Networks","Algorithmic Bias","Echo Chambers","User Behavior Modeling","Reinforcement Learning","Data Privacy"],"duration_seconds":2976,"processing_state":"processed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/data-skeptic/episodes/why-am-i-seeing-this/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/data-skeptic/why-am-i-seeing-this.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}