Aaron Halfaker

  1. New dataset shows fifteen years of Wikipedia’s quality trends

    Drawing by Edward Dana and James Dana via the British Library, public domain/CC0.

    Looking to study how Wikipedia articles have improved over time? We’ve generated a dataset that tracks the quality of articles at monthly intervals over the entire 15-year history of Wikipedia across multiple languages—that’s 670 million assessments!... Read more

  2. Introducing the unique devices dataset: a new way to estimate reach on Wikimedia projects

    Photo by Tiago Aguiar, public domain.

    With the unique devices dataset, we’ve been able to quantify the shift to mobile across all projects. In almost all Wikimedia projects, more than half of our unique devices are accessing content using the mobile sites.... Read more

  3. Artificial intelligence service “ORES” gives Wikipedians X-ray specs to see through bad edits

    Illustration by Mun May Tee-Galloway, freely licensed under CC BY-SA 4.0.

    When anyone can edit any page of one of the biggest websites in the world, how can you evaluate all those changes? A Wikimedia Foundation research scientist and a team of volunteers has developed an artificial intelligence service to handle some of the highest-volume crowdsourcing issues on the internet.... Read more

  4. Wikipedia’s very active editor numbers have stabilized—delve into the data with us

    Graph by Joe Sutherland, in the public domain.
  5. Kids these days: the quality of new Wikipedia editors over time