Before revision: With the online proliferation of hate URLanizations and governments are trying to tackle this issue, without upsetting the `freedom of speech '. In this paper, we try to understand the temporal effects of allowing hate speech on a platform (Gab) as a norm (protected as freedom of speech).We observe that the amount of hate speech  is steadily increasing , with new users being exposed to hate speech at a faster rate.
After revision: With the online proliferation of hate URLanizations and governments are trying to tackle this issue, without upsetting the `freedom of speech in an (almost) unrestricted environment. Hence, we perform the first temporal analysis of hate speech on Gab.com, a social media site with very loose moderation policy. We first generate temporal snapshots of Gab from millions of posts and users. Using these temporal snapshots, we compute an activity vector based on DeGroot model to identify hateful users. The amount of hate speech is steadily increasing , with new users being exposed to hate speech at a faster rate.