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Social Media Sentiment Analysis for Football Coverage

Broadcasters have researchers scrolling Twitter. Newspapers have journalists mining Reddit threads. Everyone's doing the same manual work. Fan Narrative automates the entire research workflow, delivering structured talking points, fan narratives, and quotable reactions faster than any research team can scroll.

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The Research Bottleneck

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Your Research Team Is Doing This Manually

At talkSPORT, assistant producers compile fan reaction for presenters. At newspapers, journalists trawl social media for the fan angle. That's a human doing a machine's job.

Matches End Late, Deadlines Don't Wait

An 8pm kick-off means you're writing at midnight. Your researcher is scrolling at 11pm. The morning show needs talking points by 5am. The current workflow doesn't scale.

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Social Media Isn't Representative

Your researcher finds 20 angry tweets and calls it "fan fury." But algorithms surface outrage, not opinion. Quoting the loudest voices isn't journalism. It's amplifying noise.

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Opta Gives You Stats, Not Stories

You have xG, pass completion, and possession. But none of that tells you fans are furious about the substitutions or buzzing about a youth player's debut. The fan voice is the missing layer.

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Every Show Covers the Same Takes

When every researcher reads the same trending topics, every show sounds the same. Nobody has a better source of fan opinion. Until now.

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"Can't the Producer Just Ask ChatGPT?"

40% of LLM citations come from Reddit alone (Semrush, 2025). AI chatbots don't know the score from last night, who got subbed off, or what the post-match press conference revealed. They can't deliver a structured brief 15 minutes after full-time. They aggregate old data. We deliver real-time fan intelligence.

Automate Your Research, Not Your Voice

Instant Reaction

15-Minute Post-Match Reports

Professional tier: 15-minute post-match fan reaction. Comprehensive analysis in 45 minutes. Your researcher gets hours back. The report is ready before the post-match press conference ends.

Pre-Show

Pre-Show Intelligence

What are fans expecting before kick-off? What are they worried about? Presenters walk into the studio knowing the fan mood, not guessing it. Phone-in producers know what callers will discuss.

Structured

Structured Talking Points for Presenters

Not a wall of tweets dumped in an email. A structured brief: what fans are saying about the manager, tactics, individual performances, the referee. Topic-tagged, emotion-rated, ranked by intensity.

Quotable

Selected Fan Posts, Ready to Quote

"One Arsenal fan on Reddit summed up the mood perfectly..." Hand-picked, representative posts from genuine supporters. Pre-filtered for trolls, bots, and rival fans. Broadcast-ready.

Tracking

Narrative Tracking Across the Season

"This is the third consecutive match where fan frustration about defensive tactics has exceeded 60%." These aren't tweets. They're data-backed storylines your competitors can't get from scrolling.

Questions

The Questions Fans Want Answered

What are fans debating? What do they want the manager asked in the press conference? What do phone-in callers want to discuss? Structure your show around what the audience actually cares about.

15min
post-match reaction (Professional tier)
45min
comprehensive match analysis
28
emotion categories beyond positive/negative
6+
platforms monitored simultaneously

What fans think, without the 2am Twitter scroll.

Frequently Asked Questions

Fan Narrative delivers post-match fan reaction reports at three speeds: Professional tier provides instant reaction in 15 minutes and comprehensive match analysis in 45 minutes. Founding Supporter tier delivers within 2 hours. Creators tier delivers within 4 hours. That's faster than a researcher can scroll through one hashtag.

Start listening to the digital stands.
Right now, millions of fans are voluntarily talking online voicing their opinions.

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