  The FIFA World Cup in Qatar was discussed extensively in the news and on
social media. Due to news reports with allegations of human rights violations,
there were calls to boycott it. Wearing a OneLove armband was part of a planned
protest activity. Controversy around the armband arose when FIFA threatened to
sanction captains who wear it. To understand what topics Twitter users Tweeted
about and what the opinion of German Twitter users was towards the OneLove
armband, we performed an analysis of German Tweets published during the World
Cup using in-context learning with LLMs. We validated the labels on human
annotations. We found that Twitter users initially discussed the armband's
impact, LGBT rights, and politics; after the ban, the conversation shifted
towards politics in sports in general, accompanied by a subtle shift in
sentiment towards neutrality. Our evaluation serves as a framework for future
research to explore the impact of sports activism and evolving public
sentiment. This is especially useful in settings where labeling datasets for
specific opinions is unfeasible, such as when events are unfolding.
