On the Interpretation of Digital Trace Data in Communication and Social Computing Research

By Deen Freelon. 2014

114 citations recorded by the source corpus.

Subfields: Communication, 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. Alexandra Olteanu
2. Fernando Diaz
3. Carlos Castillo
4. Emre Kıcıman
5. Jeremy Blackburn
6. Zeynep Tufekci
7. Muhammad Imran
8. Gabriella Kazai

In Statistical and Nonlinear Physics

1. Alexandra Olteanu
2. Fernando Diaz
3. Carlos Castillo
4. Emre Kıcıman
5. Zeynep Tufekci
6. Muhammad Imran

Citations in the corpus

• Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019, background): “Norms are also sensitive to context, as the meaning of the same action or mechanism may change under different circumstances (Freelon, 2014).”
• Big Questions for Social Media Big Data: Representativeness, Validity and Other Methodological Pitfalls (2014, background): “The scale of such behavior remains an important, unanswered question (Freelon, 2014).”
• The Pushshift Reddit Dataset (2020, background): “Web data, particularly data from application programming interfaces (APIs), has been an enormous boon for researchers using online social platforms’ databases of user-generated activity and content (Freelon 2014; Golder and Macy 2014; Hampton 2017; Lazer and Radford 2017).”