The Echo Chamber Effect: How Online Hype Outpaces Fact-Checking in AI Discussions
![In Reddit discussions concerning agentic AI, heightened platform visibility-specifically, engagement scores exceeding a threshold [latex]Q_{0.75}[/latex]-correlates with a delayed search for corroborating evidence, suggesting that initial credibility is often established through visibility itself, allowing nascent narratives to solidify before factual substantiation emerges, a process particularly observable in threads where verification cues are absent within a defined observation window and are thus treated as right-censored data.](https://arxiv.org/html/2602.11412v1/mechanism_sketch.png)
New research reveals that public conversations surrounding advanced artificial intelligence often prioritize engagement over rigorous verification, potentially leading to the premature acceptance of claims.




![The evolution of time series forecasting benchmarks reveals a field increasingly reliant on repurposed datasets-indicated by superscripted markers-and characterized by key transitions highlighted along a timeline that now prominently features the Time Series Transformer [latex]TST[/latex], despite a historical pattern of frameworks inevitably accruing technical debt as production use cases challenge theoretical elegance.](https://arxiv.org/html/2602.12147v1/figure/timeline.png)
