far-right-analysis
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Analysis related to the behavior of extreme far right online communities
Recently @ccarey created a network and pulled down recent tweets for the current alt-right presence on Twitter. This is issue to begin exploring that datasets - topic modeling, network modeling,...
any status on the gab scraper?
Build a social media hate speech text classifier, maybe using this data from Crowdflower as a starting point (https://data.world/crowdflower/hate-speech-identification). I (Jonathon) am happy to standup the classifier behind a REST...
@bstarling put together a [notebook](https://github.com/Data4Democracy/assemble/blob/master/exploratory_notebooks/BreitbartEDA.ipynb) that explains how to access Breitbart articles to do analysis in Python. If you need access to the data.world dataset, ping [@jonathon](https://datafordemocracy.slack.com/messages/@jonathon/) or [@sharon](https://datafordemocracy.slack.com/messages/@sharon) in...
"Hope speech" is counter-speech - messages posted in response to hate speech on a social platform. This task is to train a classification model that can identify hope speech. One...
Using `collect-social` (https://github.com/data4democracy/collect-social), or a library you're more familiar with (@gati/@jonathon in Slack can help with this), grab the posts, comments, users, etc from far-right/alt-right Facebook pages. A list of...
The D4D community has acquired a few million recent 4chan posts. This issue is to explore that data, using techniques such as topic modeling, network analysis, social media analytics (who...
We have a substantial collection of Breitbart articles (240k+ from 2012 through mid-January 2017, plus daily scrapes since January 15). The site has sections that roughly correspond to categories, but...
This is a proof-of-concept for network mapping/analysis of far-right blogs/websites. Basically, my (rough) thinking is we could grab all the links in a blog, parse them, and count the domains...