China Open Tennis
Emotional Landscape
TOTAL ARTICLES
0
INTERNAL (VISITED)
0
EST. VISITS
~868K
Executive Summary
Five things this data is telling you

Tennis coverage ran from the China Open in Beijing to the Shanghai Masters and the Japan Open. Admiration ran 3.44× above baseline across 1,227 articles, on Novak Djokovic's China Open title and Carlos Alcaraz's Japan Open win.

02Sadness ran 2.92× and holds the largest share, 48.7%. Daniil Medvedev's disqualification for hitting a spectator with a ball (139 sadness-tagged articles) and withdrawals, injuries and Jannik Sinner's early season end (150) drive it.
03Excitement at 1.09× is mostly match previews: 26 of the 27 'Predictions' previews are excitement-tagged.
04Anger stayed below baseline at 0.73×, even with Coco Gauff's report of a wave of online abuse after a disputed point (105 articles mention her).
05Brand safety is 91.36%: 106 of 1,227 articles are flagged, 56 of them Gauff-abuse coverage.
Top Emotions vs. Baseline
Fear stays suppressed
at 0.22× baseline

Admiration and sadness are both far above baseline (3.44× and 2.92×). Compared with the last US Open week, SEP 7 – SEP 12 (admiration 4.07×, sadness 1.88×) the title-week admiration is a little lower and sadness is much higher, because a disqualification, mass withdrawals and Sinner's injury sat beside the trophies.

Each emotion's share within this event's articles compared to its share across the country's network. Lift > 1.5× = over-represented; lift < 0.5× = suppressed — same "×" convention as every weekly card.

Admiration · highest lift
8.5k imps
3.44×
Sadness · largest share
45.1k imps
2.92×
Surprise
1.50×
Disgust
0.44×
Neutral
0.36×
Curiosity
0.35×
Fear
0.22×
Inside each emotion, what stories are being told

A single "excitement" number hides very different stories underneath it. This breaks each of Step 0's top emotions into the specific angles actually driving it within China Open Tennis coverage — read by an LLM across the top 100 articles for that emotion, not a fixed taxonomy.

Top internal articles per emotion grouped into nuanced sub-shades anchored in actual article titles and editorial angles.

482 internal · sampled top 100
~154Articles
Djokovic's China Open title

Djokovic's run to the Beijing title without facing a match point in the semifinal or final.

Admiration with excitement — a veteran champion's week.

~121Articles
Alcaraz's Japan Open comeback

Alcaraz winning the Japan Open in his first final since returning from a wrist injury.

Admiration with joy — a return from injury rewarded.

Strategic Read
What this means for brands

The sections above describe what China Open Tennis coverage actually feels like. This is what to do with that read: which emotional registers to lean into, which to avoid, and where the coverage is genuinely under-bought for a brand activating around it.

Where to show up
Match previews and title coverage
  • Excitement and admiration threads: 26 of 27 'Predictions' previews are excitement-tagged, and the top-reach previews and title stories are all brand-safe.
Where to be careful
Abuse and incident coverage
  • Flagged pocket: 106 flagged articles, over half about online racist abuse, plus the disqualification stories. Keep brand creative away from these.
Bottom line
Best fit: champions and comeback stories

A mid-sized, truly global set (1,227 articles from 24 markets, ~868K estimated visits). Admiration leads, but the safest placements are previews and title coverage, not the incident stories.

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