What question did this study set out to answer?

Investigate the relationship between tweet content and geographical locations where they were posted.

Twitter location (sometimes) matters: Exploring the relationship between georeferenced tweet content and nearby feature classes

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Randomized trial investigates tweet content correlation with geographical locations, suggesting significant patterns based on topic and scale.

Investigate the relationship between tweet content and geographical locations where they were posted.
Correlated tweet topics to geographical areas using classified points of interest from OpenStreetMap.
Employed manual, supervised, and unsupervised machine learning approaches for classification and geolocation.
Evaluated classification quality to determine the best performing method.
Manual classification yielded the highest quality results, followed by supervised classification.
Unsupervised classifications were found to be of low quality.
The relationship between tweet content and nearby points of interest varies significantly by topic and geographic scale.

Hahmann et al. (2014) studied this question.

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Randomized trial investigates tweet content correlation with geographical locations, suggesting significant patterns based on topic and scale.