What Was Written vs. Who Read It:News Media Profiling Using Text Analysis and Social Media Context
Table 1: Label counts in the dataset.
['[BOLD] Political Bias Left', '[BOLD] Political Bias 243', '[BOLD] Factuality Low', '[BOLD] Factuality 162']
After manual inspection, we noticed that the left-center and right-center labels are ill-defined, ambiguous transitionary categories. Therefore, we decided to exclude news media with these labels. Also, to reduce the impact of potentially subjective decisions made by the annotators, we merged the extreme-left and extreme-right media with the left and right categories, respectively. As a result, we model political bias on a 3-point scale (left, center, and right), and the dataset got reduced to 864 news media.