Research talk:Content persistence

http://marit.hinnosaar.net/wikipediamatters.pdf used this method to measure content survival: Myers, E. W. (1986): “AnO(ND) difference algorithm and its variations,” Algorithmica, 1(1-4), 251–266. --Nemo 08:12, 28 July 2017 (UTC)Reply

Some of the most heavily edited Wikipedia articles are on topics which are not yet static. For example edits on en:Sarah Palin peaked at 20 edits a minute a few hours after John McCain announced her as his running mate. Elections, wars, natural disasters and of course the careers of current sports stars and other people who are in the news all attract concentrations of readers and and editors. But the contents of such pages are going to change over time as reality changes. My assumption is that an editor who writes about tropical storms and hurricanes as they develop and approach land will have a lower persistence score than an editor on the same subject who covers the disaster relief stage of the same events. Equally an editor who follows the obituaries and updates the articles on recently dead sports stars who retired generations ago is going to have a very high persistence rate. Did the content persistence research take this into account? If not could any subsequent research check this out? Please? WereSpielChequers (talk) 15:41, 28 December 2024 (UTC)Reply