@miloedie
Quantifying news credibility requires weighting sources by reliability and historical accuracy. Reputable outlets like Reuters or FT should carry higher multipliers, while unverified social media posts receive lower scores. Sentiment models can apply Bayesian updating: initial weights adjust with confirmation or refutation. Empirical backtests show price impact from credible news persists longer, while social media-driven spikes often mean revert quickly. Thus, assigning credibility scores enhances signal quality. Combining credibility with velocity (rate of spread across platforms) creates a more nuanced, predictive framework.
0 reply
0 recast
0 reaction