Studying Facebook via data extraction: the Netvizz application

By Bernhard Rieder. Web Science Conference, 2013

494 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/ab637636582313fddb4de8ed6c37fb44ce447d15

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. Marloes Geboers
2. Chad Thomas Van De Wiele

In Sociology and Political Science

1. Marloes Geboers
2. Chad Thomas Van De Wiele

In Statistical and Nonlinear Physics

1. Marloes Geboers
2. Chad Thomas Van De Wiele

Citations in the corpus

• Machine Vision and Social Media Images: Why Hashtags Matter (2020, background): “It should be noted that studying platforms through their APIs (e.g., Twitter Graph API, Google Cloud Vision API) hold both analytical opportunities as well as important limitations and considerations to take into account (Rieder, 2013; Rieder et al., 2015).”