An Analysis of Interactions Within and Between Extreme Right Communities in Social Media

@article{OCallaghan2012AnAO,
  title={An Analysis of Interactions Within and Between Extreme Right Communities in Social Media},
  author={Derek O'Callaghan and Derek Greene and Maura Conway and Joe Carthy and P{\'a}draig Cunningham},
  journal={ArXiv},
  year={2012},
  volume={abs/1206.7050}
}
Many extreme right groups have had an online presence for some time through the use of dedicated websites. This has been accompanied by increased activity in social media platforms in recent years, enabling the dissemination of extreme right content to a wider audience. In this paper, we present an analysis of the activity of a selection of such groups on Twitter, using network representations based on reciprocal follower and interaction relationships, while also analyzing topics found in their… 

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References

SHOWING 1-10 OF 50 REFERENCES

Identifying Topical Twitter Communities via User List Aggregation

This approach involves the use of ensemble community finding to produce stable groupings of user lists, and by extension, individual Twitter users, in order to identify topical communities on Twitter relating to the London 2012 Olympics.

Geographic Dissection of the Twitter Network

The in-depth analysis reveals that geography continues to have a significant impact on user interactions in the Twitter social network, and could be explained by the shared national, linguistic, and cultural backgrounds of users from the same geographic neighborhood.

Combining Social Network Analysis and Sentiment Analysis to Explore the Potential for Online Radicalisation

A large dataset was collected from a group within YouTube that was identified as potentially having a radicalising agenda, and gender differences in this group of users are focused on, suggesting most extreme and less tolerant views among female users.

The Italian Extreme Right On-line Network: An Exploratory Study Using an Integrated Social Network Analysis and Content Analysis Approach

This study investigates the structure of the Italian extreme right network, taking into account the latest trends in the social psychology of CMC to describe the nature of ties among Italianextreme right websites.

Supporting the Curation of Twitter User Lists

This work presents a process for integrating a number of views on the Twitter network in order to recommend authoritative commentators to include on a list and is evaluated on manually curated lists about unrest in Bahrain and the Iowa caucuses for the 2012 US election.

Geography of Twitter networks

Mining communities and their relationships in blogs: A study of online hate groups

  • M. ChauJ. Xu
  • Computer Science
    Int. J. Hum. Comput. Stud.
  • 2007

ONLINE NETWORKS OF THE ITALIAN AND GERMAN EXTREME RIGHT

This article applies instruments of social network analysis to a study of communication networks within the Italian and German extremist right. Web links between organizational websites are used as a

What is Twitter, a social network or a news media?

This work is the first quantitative study on the entire Twittersphere and information diffusion on it and finds a non-power-law follower distribution, a short effective diameter, and low reciprocity, which all mark a deviation from known characteristics of human social networks.

On the Study of Social Interactions in Twitter

It is found that roughly half of the users spend a fair amount of time interacting whereas 40% of users do not seem to have active interactions, and the vast majority of active dialogues only involve two people despite the public nature of these tweets.