  In this paper, we study what users talk about in a plethora of independent
hyperlocal and anonymous online communities in a single country: Saudi Arabia
(KSA). We base this perspective on performing a content classification of the
Jodel network in the KSA. To do so, we first contribute a content
classification schema that assesses both the intent (why) and the topic (what)
of posts. We use the schema to label 15k randomly sampled posts and further
classify the top 1k hashtags. We observe a rich set of benign (yet at times
controversial in conservative regimes) intents and topics that dominantly
address information requests, entertainment, or dating/flirting. By comparing
two large cities (Riyadh and Jeddah), we further show that hyperlocality leads
to shifts in topic popularity between local communities. By evaluating votes
(content appreciation) and replies (reactions), we show that the communities
react differently to different topics; e.g., entertaining posts are much
appreciated through votes, receiving the least replies, while beliefs &
politics receive similarly few replies but are controversially voted.
