Your pipeline is 23.6 hours behind. We just observed a remarkable 24h momentum spike of +0.902 tied to discussions around the FIFA World Cup, particularly escalating in the context of a Delhi High Court decision affecting broadcasts. This spike, fueled by English press articles, indicates that sentiment is shifting rapidly, and if your model isn’t tuned to catch these shifts promptly, you’re missing out on critical information. This anomaly highlights a significant structural gap in pipelines that don't accommodate multilingual origins or dominant entities. Your model missed this by 23.6 hours, failing to recognize the English-language articles leading the sentiment charge. The primary entity, "world," is at the center of this spike, but many models are ill-equipped to handle the nuances of sentiment when it comes from varied linguistic sources. If you’re still processing sentiment data without considering these factors, you’re operating at a disadvantage. English coverage led by 23.6 hours. Nl at T+23.6h.…