Using Social Network Analysis to Study Hate Speech in English Football During the White Lives Matter Banner Controversy

In June 2020, a group of football supporters from Burnley FC arranged for a ‘White Lives Matter’ banner to be flown over Manchester City’s Etihad Stadium in protest against the English Premier League’s (EPL) decision to support the Black Lives Matter (BLM) movement. Utilizing a mixed-methods social network analysis (SNA) approach, we identified opinion leaders on X (formerly Twitter) to assess their influence in shaping the discussions and narrative. Systemic racism theory (SRT) was used to theoretically underpin the findings. In turn, we found that many users were critical of BLM and offered perspectives within a White supremacist frame; however, others supported football’s anti-racist endeavours. We found that some users hijacked the incident to help fuel far-right agendas, demonstrating that football fans are being targeted online. Our study highlights the differences between individual and organized racism and illustrates that far-right and White supremacist groups use football to fuel racist rhetoric and potentially radicalize fans. The study emphasizes the cruciality of understanding digital influence networks, information dissemination and the role of opinion leaders in shaping online narratives in contexts that intersect sports, politics and societal issues.

Authors

Institutions

Publication Details

Journal
IIM Kozhikode Society & Management Review
Published
2026-03-26
DOI
https://doi.org/10.1177/22779752261431396
Primary Topic
Sports, Gender, and Society
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using Social Network Analysis to Study Hate Speech in English Football During the White Lives Matter Banner Controversy

Chris Webster, Wasim Ahmed, Daniel Kilvington, Alex Fenton
IIM Kozhikode Society & Management Review
Sports, Gender, and Society
article

Using Social Network Analysis to Study Hate Speech in English Football During the White Lives Matter Banner Controversy

Chris Webster, Wasim Ahmed, Daniel Kilvington, Alex Fenton
article en

Abstract

In June 2020, a group of football supporters from Burnley FC arranged for a ‘White Lives Matter’ banner to be flown over Manchester City’s Etihad Stadium in protest against the English Premier League’s (EPL) decision to support the Black Lives Matter (BLM) movement. Utilizing a mixed-methods social network analysis (SNA) approach, we identified opinion leaders on X (formerly Twitter) to assess their influence in shaping the discussions and narrative. Systemic racism theory (SRT) was used to theoretically underpin the findings. In turn, we found that many users were critical of BLM and offered perspectives within a White supremacist frame; however, others supported football’s anti-racist endeavours. We found that some users hijacked the incident to help fuel far-right agendas, demonstrating that football fans are being targeted online. Our study highlights the differences between individual and organized racism and illustrates that far-right and White supremacist groups use football to fuel racist rhetoric and potentially radicalize fans. The study emphasizes the cruciality of understanding digital influence networks, information dissemination and the role of opinion leaders in shaping online narratives in contexts that intersect sports, politics and societal issues.

IIM Kozhikode Society & Management Review
University of Chester (GB), University of Hull (GB), Leeds Beckett University (GB)
Peace, Justice and strong institutions
Openalex Percentile: Top 6%
Sports, Gender, and Society
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.