U.S. Election Hardens Hate Universe

TL;DR

This study reveals how offline political events, especially U.S. elections, rapidly strengthen and diversify online hate networks globally, with Telegram playing a key role, suggesting the need for nuanced anti-hate strategies.

Contribution

It demonstrates the global amplification and diversification of online hate following offline political events, highlighting Telegram's role and the importance of multi-flavor hate mitigation.

Findings

Offline events increase online hate network connectivity.

Hate content around immigration, ethnicity, antisemitism, gender, and religion intensifies.

Telegram is a central platform in hate universe hardening.

Abstract

Local or national politics can trigger potentially dangerous hate in someone. But with a third of the world's population eligible to vote in elections in 2024 alone, we lack understanding of how individual-level hate multiplies up to hate behavior at the collective global scale. Here we show, based on the most recent U.S. election, that offline events are associated with a rapid adaptation of the global online hate universe that hardens (strengthens) both its network-of-networks structure and the 'flavors' of hate content that it collectively produces. Approximately 50 million potential voters in hate communities are drawn closer to each other and to the broad mainstream of approximately 2 billion others. It triggers new hate content at scale around immigration, ethnicity, and antisemitism that aligns with conspiracy theories about Jewish-led replacement before blending in hate around gender identity/sexual orientation, and religion. Telegram acts as a key hardening agent - yet is overlooked by U.S. Congressional hearings and new E.U. legislation. Because the hate universe has remained robust since 2020, anti-hate messaging surrounding not only upcoming elections but also other events like the war in Gaza, should pivot to blending multiple hate 'flavors' while targeting previously untouched social media structures.