Even with the raise of Internet and Social Media, conventional mass media still influences people over TV, press and Radio, and they are yet one of the hidden rulers of a nation.
Their influence is achieved on different ways : first of all and the most important, they impose a reality over people, as they are the ones who choose which information must be broadcasted, and which information must be banned, second, they have the power to choose words and sentences to their convenience to tell a story according to their interests and provoke emotions on the spectator.
On the other hand, mass media are not kindness and selfless actors looking always for the general interest. Sometimes they follow the stakeholders, owners and the ruling political party interests, even spreading rumors if necessary. They usually go against their initial mission : telling what is really happening.
By all these reasons, we are motivated to present you a ranking of who are the owners of Mass media in France. So that you can be informed of who is behind the news and information you receive in your daily live, and this can become part of your internal thoughts at any time
you watch the news.
The next data visualisation tools are targeted to french citizens that receive information through conventional mass-media and are curious about knowing which are the people/economic groups that are influencing more citizens through the mass media.
Data visualized in this page comes from two sources :
They are independent organizations capable of ensuring the veracity of the information. However, every one of them has its own politics, so the presented data for TV, radio and Press belongs to different time windows that are described in the following table :
| Media Type | File | Source | Time Window | Measure |
|---|---|---|---|---|
| TV | Médiamat%20Hebdo_s51_2016.pdf | www.mediametrie.fr | Decembre 19 25 2016 | AJV (1) |
| Radio | CP 126 000 Septembre-Octobre 2016.pdf | www.mediametrie.fr | September October 2016 | AC (2) |
| Monthly Press | OJD_list_presse_magazine_20161227.csv | www.acpm.fr | 2015-2016 | Number of units sold |
| Weekly Press | OJD_list_presse_magazine_20161227.csv | www.acpm.fr | 2015-2016 | Number of units sold |
| Regional Press | OJD_list_presse_magazine_20161227.csv | www.acpm.fr | 2015-2016 | Number of units sold |
| Mixed | Base médias.xlsx | http://www.monde-diplomatique.fr/ | 2012-2016 | Percentage of property |
| Daily Press | OJD_list_presse_quotidienne_nationale_20161227.csv | www.acpm.fr | 2015-2016 | Number of units sold |
1. AJV time percentage that anybody perceive a given chain.
2. AM (cumulative audience) set of people listening at least once in the day (5h-24h),( percentage of population).
We have used different techniques in order to produce the final results shown here. First of all, we have centralized different excel DataSets in one Excel sheet extracting and filtering only the useful information. Then we used Java programming language to transform this excel sheet in a Json Object to be parsed by D3 javascript framework, we have choosen this JavaScript framework thanks to its versatility and esthetically appealing results.
This graph is splitted by the media types (TV,Journal,Radio,Website) and it takes an audience or the number of medias criteria to measure influence. The graph is splitted in two regions:
This graph does not make the difference between different media types, so for each entity we can have all what she owns (TV+Radio+Websites+Journal) and it also takes an audience or the number of medias criteria to measure influence. The graph is splitted in two regions:
We decide to present the information as a Treemap, as this is a natural way to present and compare proportions. We enriched the treemap with ranking deduction, clicking effects and treemap navigation to zoom in the details of the properties of a person or economic group.
The presented visualisation tools, can be improved by adding the missing information that we did not found, and by normalizing the data to one only time window.