For the stance recognition task, a range of n-gram models -from 1 to 5 words and from 3 to 16 characters -was considered, and we found that character-based models always outperform wordbased models.
the work in (Zarrella and Marsh, 2016) presents the best overall performance in the SemEval-2016 shared task (Mohammad et al., 2016b) on supervised stance recognition.