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Horizon is an open-source AI-powered news radar tool that aggregates, deduplicates, scores, and summarizes tech news from Hacker News, Reddit, GitHub and other sources to generate daily bilingual briefings.
This paper presents a large-scale audit of recommendation biases in LLM-based content curation across OpenAI, Anthropic, and Google using 540,000 simulated selections from Twitter/X, Bluesky, and Reddit data. The study finds that LLMs systematically amplify polarization, exhibit distinct toxicity handling trade-offs, and show significant political leaning bias favoring left-leaning authors despite right-leaning plurality in datasets.