Fake News and Hate Speech: Language in Common

TL;DR

This paper investigates whether fake news and hate speech share linguistic patterns, introducing a new index to analyze their common 'us vs them' narrative across multiple datasets.

Contribution

It introduces the ingroup vs outgroup index to compare language patterns in fake news and hate speech, revealing shared 'us vs them' narratives.

Findings

Fake news and hate speech both exhibit 'us vs them' narratives

The ingroup vs outgroup index effectively captures shared language patterns

Shared patterns suggest common underlying social dynamics

Abstract

In this paper we raise the research question of whether fake news and hate speech spreaders share common patterns in language. We compute a novel index, the ingroup vs outgroup index, in three different datasets and we show that both phenomena share an "us vs them" narrative.