Sad Tunes Algorithm, Fragapane’s Beautiful Dataviz, African Pay Gap, Euro-Xenophobia
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Sad Tunes Algorithm, Fragapane’s Beautiful Dataviz, African Pay Gap, Euro-Xenophobia

GIJN |
September 21, 2018

What’s the global data journalism community tweeting about this week?


Our NodeXL #ddj mapping from Sept 10 to 16 finds @miriamquick analyzing @Spotify data to rank the top five saddest songs, @Code4Africa creates a tool to measure gender pay gap in African countries, @fedfragapane shares beautiful illustrations on Instagram, #edjnet finds Italy, Turkey and Greece topping the list of Europe’s xenophobic countries, and @TaylorMirf highlights the low rates of immunizations in Washington state.

Saddest Songs on Spotify

Spotify built an algorithm that aims to quantify the amount of sadness in a music track. Data journalists poring over the data have developed interesting stories — a ‘gloom index’ of Radiohead songs, the most depressing Christmas song, and which European countries prefer sad songs. Data journalist Miriam Quick did her own analysis to find the saddest pop songs to top the charts.

Credit by - GIJN

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