Question

Snappy is a crowdsourcing app designed with the purpose of making the world a happier place. The app collects photos users submit of "Happy Moments". Photos are tagged with the location where they were taken. Users have access to a map where they can zoom in to photos submitted at specific locations. A leaderboard displays the locations with the most "Happiness Moments" and the users who are the "snappiest" in each city due to the volume and rating of "Happiness Moments" they have submitted. Users can rate other "Hapiness Moments" using a limited set of emojis and can also leave comments which are moderated using machine learning in an effort to only allow positive comments, by checking each comment for common negative words learned through a training set.

Which of the following data is LEAST likely to be included in the rankings of users on the leaderboard?
The location of a "Happiness Moment".
The number of comments a "Happiness Moment" received.
The number of "Happiness Moments" a user has submitted.
The number of ratings a "Happiness Moment" received.

Answer 1

The location of a 'Happiness Moment' is the least likely data to be included in the user rankings on the Snappy app's leaderboard, as it is more relevant to the app's map feature.

Step-by-step explanation:

The data least likely to be included in the rankings of users on the leaderboard for the Snappy app is the location of a 'Happiness Moment'.

The leaderboard is designed to highlight the most active and popular users, typically showcasing those who have submitted the highest volume of 'Happiness Moments', the quantity of ratings received, and perhaps the level of engagement through comments.

However, the specific location where a 'Happiness Moment' was captured is more relevant to the map feature on the app rather than to the ranking of users. Users become 'snappiest' by the volume and rating of their submissions, not by the geographical diversity of their photos.