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Stance detection refers to the task of extracting the standpoint (Favor,Against or Neither) towards a target in given texts. Such research gainsincreasing attention with the proliferation of social media contents. Theconventional framework of handling stance detection is converting it into textclassification tasks. Deep learning models have already replaced rule-basedmodels and traditional machine learning models in solving such problems.Current deep neural networks are facing two main challenges which areinsufficient labeled data and information in social media posts and theunexplainable nature of deep learning models. A new pre-trained language modelchatGPT was launched on Nov 30, 2022. For the stance detection tasks, ourexperiments show that ChatGPT can achieve SOTA or similar performance forcommonly used datasets including SemEval-2016 and P-Stance. At the same time,ChatGPT can provide explanation for its own prediction, which is beyond thecapability of any existing model. The explanations for the cases it cannotprovide classification results are especially useful. ChatGPT has the potentialto be the best AI model for stance detection tasks in NLP, or at least changethe research paradigm of this field. ChatGPT also opens up the possibility ofbuilding explanatory AI for stance detection.

How would Stance Detection Techniques Evolve after the Launch of ChatGPT?