Journalists are most likely to receive abuse: Analysing online abuse of UK public figures across sport, politics, and journalism on Twitter

TL;DR

This study analyzes a large dataset of tweets to understand the patterns and dynamics of online abuse faced by UK public figures across politics, sports, and journalism, revealing that journalists are most likely to receive abuse.

Contribution

It presents a systematic, large-scale analysis of online abuse across different public figure groups using transformer-based models, highlighting differences and key factors influencing abuse.

Findings

MPs receive more abuse in absolute terms

Journalists are most likely to receive abuse after controlling for other factors

Abuse is unevenly distributed, with a small number of individuals receiving most abuse

Abstract

Engaging with online social media platforms is an important part of life as a public figure in modern society, enabling connection with broad audiences and providing a platform for spreading ideas. However, public figures are often disproportionate recipients of hate and abuse on these platforms, degrading public discourse. While significant research on abuse received by groups such as politicians and journalists exists, little has been done to understand the differences in the dynamics of abuse across different groups of public figures, systematically and at scale. To address this, we present analysis of a novel dataset of 45.5M tweets targeted at 4,602 UK public figures across 3 domains (members of parliament, footballers, journalists), labelled using fine-tuned transformer-based language models. We find that MPs receive more abuse in absolute terms, but that journalists are most likely to receive abuse after controlling for other factors. We show that abuse is unevenly distributed in all groups, with a small number of individuals receiving the majority of abuse, and that for some groups, abuse is more temporally uneven, being driven by specific events, particularly for footballers. We also find that a more prominent online presence and being male are indicative of higher levels of abuse across all 3 domains.