e.g. for Openness, the High bin indicates someone who is very open, the Medium bin is average, and the Low bin is not open at all.

Finally, a binary feature was created to represent how entrenched an individual is in a particular topic. This feature is based on the raw prior belief score and is True if the prior belief score is within 0.5 points of either end point on the stance scale. This feature is different from the prior belief bins because this entrenchment feature groups together people who are in the extremes on both sides of the stance scale, while the prior belief bins distinguishes between the two ends.

We created a development set using data from a prior Mechanical Turk experiment which had 20 HITs, 5 questions per HIT, and 20 people who completed each HIT. In the same manner as the [fact]{} and [ emot]{} HITs, these Turkers (whose personality was already profiled) were asked about their prior beliefs about a topic, then presented with a factual or emotional argument. But in this case they were asked to rate the strength of the argument rather than to report their belief about the topic. We then identified 