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Characterizing User Archetypes and Discussions on Scored.co

Andrea Failla, Salvatore Citraro, Giulio Rossetti, Francesco Cauteruccio

TL;DR

A multi-dimensional framework for characterizing nodes and hyperedges in social hypernetworks, with a focus on the understudied alt-right platform Scored.co, is presented, offering new insights into the roles and behaviors that emerge in complex online environments.

Abstract

In recent years, the proliferation of social platforms has drastically transformed the way individuals interact, organize, and share information. In this scenario, we experience an unprecedented increase in the scale and complexity of interactions and, at the same time, little to no research about some fringe social platforms. In this paper, we present a multi-dimensional framework for characterizing nodes and hyperedges in social hypernetworks, with a focus on the understudied alt-right platform Scored.co. Our approach integrates the possibility of studying higher-order interactions, thanks to the hypernetwork representation, and various node features such as user activity, sentiment, and toxicity, with the aim to define distinct user archetypes and understand their roles within the network. Utilizing a comprehensive dataset from Scored.co, we analyze the dynamics of these archetypes over time and explore their interactions and influence within the community. The framework's versatility allows for detailed analysis of both individual user behaviors and broader social structures. Our findings highlight the importance of higher-order interactions in understanding social dynamics, offering new insights into the roles and behaviors that emerge in complex online environments.

Characterizing User Archetypes and Discussions on Scored.co

TL;DR

A multi-dimensional framework for characterizing nodes and hyperedges in social hypernetworks, with a focus on the understudied alt-right platform Scored.co, is presented, offering new insights into the roles and behaviors that emerge in complex online environments.

Abstract

In recent years, the proliferation of social platforms has drastically transformed the way individuals interact, organize, and share information. In this scenario, we experience an unprecedented increase in the scale and complexity of interactions and, at the same time, little to no research about some fringe social platforms. In this paper, we present a multi-dimensional framework for characterizing nodes and hyperedges in social hypernetworks, with a focus on the understudied alt-right platform Scored.co. Our approach integrates the possibility of studying higher-order interactions, thanks to the hypernetwork representation, and various node features such as user activity, sentiment, and toxicity, with the aim to define distinct user archetypes and understand their roles within the network. Utilizing a comprehensive dataset from Scored.co, we analyze the dynamics of these archetypes over time and explore their interactions and influence within the community. The framework's versatility allows for detailed analysis of both individual user behaviors and broader social structures. Our findings highlight the importance of higher-order interactions in understanding social dynamics, offering new insights into the roles and behaviors that emerge in complex online environments.
Paper Structure (17 sections, 2 equations, 6 figures, 2 tables)

This paper contains 17 sections, 2 equations, 6 figures, 2 tables.

Table of Contents

  1. Introduction
  2. Related Literature
  3. Materials and methods
  4. Background
  5. Characterizing Nodes via Archetypes
  6. A Characterization for Archetypes
  7. Analyzing Higher-Order Entities
  8. Experiments
  9. Dataset
  10. Higher-order Interactions and Analysis
  11. Identification and Analysis of Archetypes
  12. Archetype Characterization
  13. Archetypes Transitions
  14. Temporal Analysis of Archetype's Higher-order Interactions
  15. Characterization of Discussions
  16. ...and 2 more sections

Figures (6)

  • Figure 1: A toy hypergraph. Nodes are labelled with capital letters. Nodes A, B, C and D are connected by a hyperedge of size 4. Nodes C and E, D and E, D and F, and E and F are pairwise connected.
  • Figure 2: Hyperdegree (left) and hyperedge size (right) distributions for the aggregated hypergraph
  • Figure 3: Archetype Profiles according to (a) Plutchik's wheel of emotions, (b) the Pleasure/Arousal/Dominance model and (c) Moral Foundations Theory.
  • Figure 4: Transition Probabilities across archetypes (expressed in percentages). Only statistically significant ones are shown ($p < 0.01$).
  • Figure 5: Monthly average hyperdegree (x-axis) and number of neighbors (y-axis) for each archetype.
  • ...and 1 more figures