REAL-WORLD STANCE DETECTION APPROACHES

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Challenge:	Existing studies have highlighted the importance of vaccination as an effective strategy to control the transmission of the COVID-19 virus.
Approach:	They evaluate a range of transformer-based models using chronological and random splits of social media data to examine the impact of temporal concept drift on stance detection towards COVID-19 vaccination.
Outcome:	The proposed models show that the models performed better with chronological and random splits than with random split models.

Papers with real-world stance detection approaches