Year-end rankings have become essential for users of streaming platforms. Listening times,most listened to songs,number of artists and genres listened to… each submission offers a personalized summary to its subscribers. If you’re more of a fan of post-punk than French rap and your chart doesn’t include taylor Swift or werenoi, chances are your subscription only marginally funds your favorite artists.
Year after year, artist royalties continue to increase, but remain insufficient for many voices in recorded music. The market, which went through a serious crisis with the advent of the Internet and the CD crisis, is starting to recover thanks to the continuous growth of streaming.In France, the happy times of the music industry are still far away, despite the notable growth of digital media over the last decade.
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}, { “stack”: “null”, “name”: “Numu00e9rique”, “lineWidth”: 2, “color”: “#A2DCE7”, “type”: “”, “yAxis”: “0” , “visible”: true, “dataLabels”: { “enabled”: false }, “step”: “”, “data”: [
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“Since their creation in the mid-2000s, platforms’ models of artist compensation have changed littlecomments François Moreau, cultural economist and professor at the Sorbonne-Paris-Nord University.But now that streaming revenues have become the majority, everyone is becoming more sensitive to the issue. »
It is in this sense that Emmanuel Macron wanted to denounce, in Variety on October 9, a model “false”ha ” One Way ”Who “he underestimates several artists who have an average audience, while an artist who is suddenly dumped by a few young people for a few months will be paid quite well”.
twelve million paying subscribers in France
Most of the streaming revenue comes from subscribers to the diffrent platforms. Spotify, Amazon Music, Deezer, YouTube music, Apple Music, soundcloud… there were twelve million paying accounts in France in 2023, according to the National Union of Phonographic Publishing (SNEP). With 16% of internet users paying for a subscription, the French market remains weak compared to the United Kingdom (26.5%) or the United States (30.1%).
Before redistributing their revenues to music, each platform retains almost 30% of the overall revenues. The remaining 70% does not go directly to the artist:
- 55% goes to the labels (mainly the three majors, Universal, Warner and sony), which produce and record the titles. With this revenue the labels first reimburse the advance given to the artists during the recording phase, then any profits are divided between the producers and the performers according to contracts negotiated between them (on average around 10%-15% in favor of the artist );
- 15% goes to the authors, composers and the publisher, through Sacem.
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How can I customize data points in a chart configuration JSON?
It looks like you’ve shared a JSON-like structure or data snippet that might be part of a chart configuration or a data visualization library. This typically includes data points, their identifiers, and various settings related to their display (like visibility, data labels, colors, etc.).
Here’s a clearer breakdown of your data structure:
- Main Data Points:
– Each data point consists of an array wiht elements representing:
– The numeric value (e.g., 446.0, 451.0, etc.)
– an empty string (possibly for a label)
– An identifier (e.g., "pt10", "pt11", etc.)
– A boolean for enabling/disabling the marker
- A boolean for enabling/disabling data labels
- Keys:
- The “keys” array lists the attributes for the data points, which can include:
– y – the numerical value
- colour – color coding for the points
– id – identifier for the point
– marker.enabled – specifies if marker points are enabled
– dataLabels.enabled – specifies if data labels are enabled
- Stack and Series Facts:
- Other properties include the name of the dataset (“Numérique”), line width, color, type, axis assignment (yAxis), visibility status, and data labels settings.
Here’s an example of how the structure could be clarified:
json
{
"data": [
{
"y": 446.0,
"label": "",
"id": "pt10",
"marker": { "enabled": false },
"dataLabels": { "enabled": false }
},
{
"y": 451.0,
"label": "",
"id": "pt11",
"marker": { "enabled": false },
"dataLabels": { "enabled": false }
},
{
"y": 400.0,
"label": "",
"id": "pt12",
"marker": { "enabled": false },
"dataLabels": { "enabled": false }
},
...
],
"keys": [
"y",
"label",
"id",
"marker.enabled",
"dataLabels.enabled"
],
"series": {
"stack": null,
"name": "Numérique",
"lineWidth": 2,
"color": "#A2DCE7",
"type": "",
"yAxis": "0",
"visible": true,
"dataLabels": { "enabled": false }
}
}
If you need help with anything specific regarding this structure or would like further assistance (like visualizing the data or converting it for a specific use), please let me know!