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A Data-driven Understanding of Left-Wing Extremists on Social Media: B. NAMED ENTITIES

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Authors:

(1) UTKUCAN BALCI, Binghamton University, United States;

(2) MICHAEL SIRIVIANOS, Cyprus University of Technology, Cyprus;

(3) JEREMY BLACKBURN, Binghamton University, United States.

Table of Links

Abstract and 1 Introduction

2 Background & Related Work

3 Data

3.1 Identifying Tankie Subreddits

3.2 Identifying Ideology Subreddits and 3.3 Post Collection

4 User-Base Analysis and 4.1 Graph Construction & Community Detection

4.2 Community Growth

4.3 User Migrations Over Time

5 Content Analysis and 5.1 What do tankies talk about?

5.2 Who are tankies talking about?

5.3 Misalignment Analysis

5.4 Toxicity Analysis

5.5 Domain Analysis

5.6 Lemmygrad Analysis

6 Discussion & Conclusion and 6.1 Limitations

6.2 Implications & future work, and References

A DATA

B NAMED ENTITIES

C MISALIGNMENT ANALYSIS

D DOMAIN ANALYSIS

B NAMED ENTITIES

Table 9 presents the top 20 named entities, their frequency, and the percentage of posts they appear in within far-left subreddits other than tankie subreddits.


This paper is available on arxiv under CC BY 4.0 DEED license.


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