Popularity and Quality in Social News Aggregators: A Study of Reddit and Hacker News

By Gregory Stoddard. 2015

40 citations recorded by the source corpus.

In this paper we seek to understand the relationship between the online popularity of an article and its intrinsic quality. Prior experimental work suggests that the relationship between quality and popularity can be very distorted due to factors like social influence bias and inequality in visibility. We conduct a study of popularity on two different social news aggregators, Reddit and Hacker News. We define quality as the relative number of votes an article would have received if each article was shown, in a bias-free way, to an equal number of users. We propose a simple poisson regression method to estimate this quality metric from time-series voting data. We validate our methods on data from Reddit and Hacker News, as well the experimental data from prior work. This method works well even though the collected data is subject to common social media biases. Using these estimates, we find that popularity on Reddit and Hacker News is a stronger reflection of intrinsic quality than expected.

Subfields: Communication, Sociology and Political Science, Statistical and Nonlinear Physics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

  1. Amit Sharma
  2. Roberto M. Cesar Jr.
  3. Samuel Barbosa
  4. Dan Cosley
  5. Haji Mohammad Saleem
  6. Derek Ruths

In Sociology and Political Science

  1. Gerardo Berbeglia
  2. Andrés Abeliuk
  3. Pascal Van Hentenryck
  4. Amit Sharma
  5. Felipe Maldonado
  6. Roberto M. Cesar Jr.
  7. Samuel Barbosa
  8. Franco Berbeglia

In Statistical and Nonlinear Physics

  1. Amit Sharma
  2. Felipe Maldonado
  3. Franco Berbeglia
  4. Gerardo Berbeglia
  5. Andrés Abeliuk
  6. David Jurgens
  7. Dan Cosley
  8. Haji Mohammad Saleem

Citations in the corpus