Hello, I work for a consulting firm called Strategy&. We have been engaged by Facebook on behalf of Internet.org to conduct a study on assessing the state of connectivity globally. One key area of focus is the availability of relevant online content. We are using a the availability of encyclopedic knowledge in one’s primary language as a proxy for relevant content. We define this as 100K+ Wikipedia articles in one’s primary language. We have a few questions related to this analysis prior to publishing it: · We are currently using the article count by language based on Wikimedia’s foundation public link: Source: http://meta.wikimedia.org/wiki/List_of_Wikipedias. Is this a reliable source for article count – does it include stubs? · Is it possible to get historic data for article count. It would be great to monitor the evolution of the metric we have defined over time? · What are the biggest drivers you’ve seen for step change in the number of articles (e.g., number of active admins, machine translation, etc.) · We had to map Wikipedia language codes to ISO 639-3 language codes in Ethnologue (source we are using for primary language data). The 2 language code for a wikipedia language in the “List of Wikipedias” sometimes matches but not always the ISO 639-1 code. Is there an easy way to do the mapping? Many Thanks, Rawia [image: Description: Strategy& Logo] *Formerly Booz & Company* *Rawia Abdel Samad* Direct: +9611985655 | Mobile: +97455153807 Email: Rawia.AbdelSamad(a)strategyand.pwc.com www.strategyand.com _______________________________________________ Analytics mailing list Analytics(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/analytics

·We are currently using the article count by language based on Wikimedia’s foundation public link: Source: http://meta.wikimedia.org/wiki/List_of_Wikipedias. Is this a reliable source for article count – does it include stubs?

·Is it possible to get historic data for article count. It would be great to monitor the evolution of the metric we have defined over time?

·What are the biggest drivers you’ve seen for step change in the number of articles (e.g., number of active admins, machine translation, etc.)

·We had to map Wikipedia language codes to ISO 639-3 language codes in Ethnologue (source we are using for primary language data). The 2 language code for a wikipedia language in the “List of Wikipedias” sometimes matches but not always the ISO 639-1 code. Is there an easy way to do the mapping?

This uses a definition of "article count" which is a little more generous, and counts all pages in the main namespace.

I work for a consulting firm called Strategy&. We have been engaged by Facebook on behalf of Internet.org to conduct a study on assessing the state of connectivity globally. One key area of focus is the availability of relevant online content. We are using a the availability of encyclopedic knowledge in one’s primary language as a proxy for relevant content. We define this as 100K+ Wikipedia articles in one’s primary language.

We have a few questions related to this analysis prior to publishing it: ·We are currently using the article count by language based on Wikimedia’s foundation public link: Source: http://meta.wikimedia.org/wiki/List_of_Wikipedias. Is this a reliable source for article count – does it include stubs? ·Is it possible to get historic data for article count. It would be great to monitor the evolution of the metric we have defined over time? ·What are the biggest drivers you’ve seen for step change in the number of articles (e.g., number of active admins, machine translation, etc.) ·We had to map Wikipedia language codes to ISO 639-3 language codes in Ethnologue (source we are using for primary language data). The 2 language code for a wikipedia language in the “List of Wikipedias” sometimes matches but not always the ISO 639-1 code. Is there an easy way to do the mapping? Many Thanks, Rawia