Cherry Picking

"Cherry picking," the selective use of data to support a preferred conclusion, is a problem across diverse fields, from news analysis to machine learning. Current research focuses on developing automated methods to detect cherry-picked information, leveraging large language models to assess the completeness and context of data, and employing machine learning to optimize data selection for improved model training. These advancements aim to enhance the reliability of information and improve the efficiency and accuracy of various applications, ranging from combating misinformation in news to optimizing the performance of artificial intelligence models.