Characterizing Silent Users in Social Media Communities

By Wei Gong, Ee-Peng Lim, Feida Zhu. 2015

88 citations recorded by the source corpus.

Silent users often constitute a significant proportion of an online user-generated content system. In the context of social media such as Twitter, users can opt to be silent all or most of the time. They are often called the invisible participants or lurkers. As lurkers contribute little to the online content, existing analysis often overlooks their presence and voices. However, we argue that understanding lurkers is important in many applications such as recommender systems, targeted advertising, and social sensing. This research therefore seeks to characterize lurkers in social media and propose methods to profile them. We examine 18 weeks of tweets generated by two Twitter communities consisting of more than 110K and 114K users respectively. We find that there are many lurkers in the two communities, and the proportion of lurkers in each community changes with time.We also show that by leveraging lurkers' neighbor content, we are able to profile them with accuracy comparable to that of profiling active users. It suggests that user generated content can be utilized for profiling lurkers and lurkers in Twitter are after all not that ``invisible''.

Subfields: Information Systems, 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 Information Systems

  1. Fernando Diaz
  2. Alexandra Olteanu
  3. Carlos Castillo
  4. Emre Kıcıman
  5. Ee-Peng Lim
  6. Onur Varol
  7. David Jurgens
  8. Derek Ruths

In Sociology and Political Science

  1. Alexandra Olteanu
  2. Fernando Diaz
  3. Carlos Castillo
  4. Emre Kıcıman
  5. Feida Zhu
  6. Ee-Peng Lim
  7. Wei Gong
  8. Onur Varol

In Statistical and Nonlinear Physics

  1. Alexandra Olteanu
  2. Carlos Castillo
  3. Fernando Diaz
  4. Emre Kıcıman
  5. Feida Zhu
  6. Ee-Peng Lim
  7. Wei Gong
  8. Onur Varol

Citations in the corpus