Hi, my name is Shijith, and I'm a freelance data journalist. (Worked previously at Hindustan Times and IndiaSpend, have also contributed to datameet.org in the past <http://datameet.org/author/shijithpk/>.)
Just wanted to plug a data story I did recently about Wikipedia abuse in India. Such abuse is an old problem, but it's getting more media attention with users distorting facts on pages about the Delhi riots or farmer protests. Sometimes users engage in straight out vandalism where they delete whole sections from a page. I tried to determine which wikipedia pages faced the most abuse this year, and I also introduce a twitter account that allows people to track wikipedia abuse weekly. This is the link to the story: https://shijith.com/blog/wikipedia-page-abuse/ This is the twitter account for tracking wikipedia abuse every week: http://twitter.com/abuse_checker And here's the python code I used for the project: https://github.com/shijithpk/wikipedia_abuse_checker (Am in the process of re-working the code. Right now it's querying the wikipedia API every week for the edit histories of over 150k articles, and the whole run is taking 2 days now. Discovered an API endpoint for recent changes that should make things more efficient.) Have any questions or feedback, do let me know! Thanks, Shijith -- Datameet is a community of Data Science enthusiasts in India. Know more about us by visiting http://datameet.org --- You received this message because you are subscribed to the Google Groups "datameet" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/datameet/7d4d5e8b-2602-4e7d-a9ff-d8b07e216c0cn%40googlegroups.com.
