However, perhaps surprisingly, we are able to achieve the overall best performance by simply using higher-length n-grams than those used in the original work from <cite>[5]</cite> : this seems to indicate a strong lexical overlap between different sources with the same orientation, which, in turn, calls for more challenging datasets and task formulations to encourage the development of models covering more subtle, i.e., implicit, forms of bias.