6 Matching Annotations
  1. Apr 2024
  2. Mar 2024
  3. Jan 2024
    1. The Evaporative Cooling Effect describes the phenomenon that high value contributors leave a community because they cannot gain something from it, which leads to the decrease of the quality of the community. Since the people most likely to join a community are those whose quality is below the average quality of the community, these newcomers are very likely to harm the quality of the community. With the expansion of community, it is very hard to maintain the quality of the community.

      via ref to Xianhang Zhang in Social Software Sundays #2 – The Evaporative Cooling Effect « Bumblebee Labs Blog [archived] who saw it

      via [[Eliezer Yudkowsky]] in Evaporative Cooling of Group Beliefs

  4. May 2021
  5. Aug 2020
  6. Aug 2018
    1. A promising approach that addresses some worker output issues examines the way that workers do their work rather than the output itself, using machine learning and/or visualization to predict the quality of a worker’s output from their behavior [119,120]

      This process improvement idea has some interesting design implications for improving temporal qualities of SBTF data: • How is the volunteer thinking about time? • Where does temporality enter into the data collection workflow? • What metadata do they rely on? • What is their temporal sensemaking approach?