: The researchers propose a framework that combines Chaos Theory (to identify and reconstruct the hidden structure of the data) with Deep Learning models like LSTMs or Transformers.
: The study found that simply hearing a claim multiple times makes people believe that a wider consensus exists for that claim, even if they only heard it from a single source. 124533
1. Chaos Theory and Deep Learning in Time Series Forecasting : The researchers propose a framework that combines
: By using chaos-based feature extraction before feeding data into neural networks, the accuracy of long-term predictions in complex fields like economics, weather, and engineering is significantly improved. 2. The Illusory Consensus Effect Chaos Theory and Deep Learning in Time Series
: This "illusory consensus" helps explain how misinformation spreads; repetition alone can make an idea feel like "common knowledge," leading individuals to overestimate how much of the population actually agrees with it. Other Technical References