Retweet communities reveal the main sources of hate speech

05/31/2021
by   Bojan Evkoski, et al.
0

We address a challenging problem of identifying main sources of hate speech on Twitter. On one hand, we carefully annotate a large set of tweets for hate speech, and deploy advanced deep learning to produce high quality hate speech classification models. On the other hand, we create retweet networks, detect communities and monitor their evolution through time. This combined approach is applied to three years of Slovenian Twitter data. We report a number of interesting results. Hate speech is dominated by offensive tweets, related to political and ideological issues. The share of unacceptable tweets is moderately increasing with time, from the initial 20 2020. Unacceptable tweets are retweeted significantly more often than acceptable tweets. About 60 right-wing community of only moderate size. Institutional Twitter accounts and media accounts post significantly less unacceptable tweets than individual accounts. However, the main sources of unacceptable tweets are anonymous accounts, and accounts that were suspended or closed during the last three years.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 4

page 7

page 8

page 10

02/05/2019

Partisanship, Propaganda and Post-Truth Politics: Quantifying Impact in Online

The recent past has highlighted the influential role of social networks ...
11/23/2020

An analysis of replies to Trump's tweets

Donald Trump has tweeted thousands of times during his presidency. These...
05/13/2021

Community evolution in retweet networks

Communities in social networks often reflect close social ties between t...
02/05/2019

Partisanship, Propaganda and Post-Truth Politics: Quantifying Impact in Online Debate

The recent past has highlighted the influential role of social networks ...
07/12/2021

Hate versus Politics: Detection of Hate against Policy makers in Italian tweets

Accurate detection of hate speech against politicians, policy making and...
04/06/2018

Forex trading and Twitter: Spam, bots, and reputation manipulation

Currency trading (Forex) is the largest world market in terms of volume....
04/15/2019

Characterization of citizens using word2vec and latent topic analysis in a large set of tweets

With the increasing use of the Internet and mobile devices, social netwo...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.