One of the primary motivations is the increasing concern over the impact of fake news on society. The widespread dissemination of false or misleading information can have serious consequences, from eroding public trust in institutions to exacerbating social and political tensions. NLP models that can accurately detect and flag fake news can play an important role in mitigating these negative effects.
Another motivation is the growing availability of large-scale datasets and computing power that make it possible to develop and train complex NLP models. As the field of NLP has advanced, researchers and developers have become increasingly adept at leveraging these resources to create models that can analyze and interpret text data with a high degree of accuracy.
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