Article "Loi contre les contenus haineux sur internet" in French Wikipedia has 64.3 points for quality (as of November 1, 2023). The article contains 127 references and 29 sections. The article also contains quality flaw template, which reduce quality score.
Since the creation of article "Loi contre les contenus haineux sur internet", its content was written by 94 registered users of French Wikipedia and edited by 94 registered Wikipedia users in all languages.
The article is cited 51 times in French Wikipedia and cited 51 times in all languages.
The highest Authors Interest rank from 2001:
The highest popularity rank from 2008:
There is 1 language version for this article in the WikiRank database (of the considered 55 Wikipedia language editions).
The quality and popularity assessment was based on Wikipédia dumps from November 1, 2023 (including revision history and pageviews for previous years).
| Best Rank | French: #179 05.2020 |
Global: #23105 05.2020 |
On 6 May 2024 in multilingual Wikipedia, Internet users most often read articles on the following topics: Bernard Hill, YouTube, Eurovision Song Contest 2024, Lando Norris, Anne Hathaway, Facebook, Nicholas Galitzine, ChatGPT, The Idea of You, deaths in 2024.
In French Wikipedia the most popular articles on that day were: Bernard Pivot, Bernard Hill, Montgomery Clift, La Loi du silence, Cécile Pivot, Omar Harfouch, DJ Snake, ChatGPT, Xi Jinping, Jack Lang.
The WikiRank project is intended for automatic relative evaluation of the articles in the various language versions of Wikipedia. At the moment the service allows to compare over 44 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from November, 2023. When calculating current popularity and AI of articles data from October 2023 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(67.08+67.2+5.26+100+98.64)-3.38$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
