tag:blogger.com,1999:blog-301218875078503995.post922479137302034050..comments2024-03-24T19:52:57.331-07:00Comments on compSocSci: What ideas do twitter users invoke to support/oppose the #OWS protests?Unknownnoreply@blogger.comBlogger2125tag:blogger.com,1999:blog-301218875078503995.post-64237363107821208082011-11-11T04:39:31.273-08:002011-11-11T04:39:31.273-08:00@Margaret - Glad you like it. Your idea on lack o...@Margaret - Glad you like it. Your idea on lack of focus is a really good one. I've been trying to think of a way to compare the two sides. It's tough to do well, because we'd have to control for the fact that so many more of the tweets were supporting than opposed.<br /><br />That said, maybe it's enough to know that the beta values were much larger (on the order of double) for the "opposed" tweets. In other words, it looks like the message of the anti-OWS minority is captured in a smaller set of words than the pro-OWS majority. I'd love to come up with a good way to visualize this -- the "on message-ness" of a movement.Abehttps://www.blogger.com/profile/11770641345237492773noreply@blogger.comtag:blogger.com,1999:blog-301218875078503995.post-16799887646543009632011-11-10T05:55:33.794-08:002011-11-10T05:55:33.794-08:00I confess, I think your word-based evaluations of ...I confess, I think your word-based evaluations of texts are brilliant, and it's so interesting to try to tease out the context of these words. For example, the fact that "love" and "brutal", "stay" and "evict" are the contrasts evoked by the OWS crowd, while the anti-OWS group is almost entirely negative - with the exception of the word "focus" (which OWS lacks). Speaking of which - is that lack of focus borne out by text analysis? If you were to do a spread of words, would you see the anti-OWS crowd more focused on certain words while the OWS crowd is more dispersed? Regardless of which way it went, I think it would be an interesting reflection on both crowds.Margarethttps://www.blogger.com/profile/02524372492053722876noreply@blogger.com