Twitter as Data

By Zachary C. Steinert-Threlkeld. 2018

116 citations recorded by the source corpus.

Subfields: Communication, General Social Sciences, Statistical and Nonlinear Physics, Evaluation & Benchmarks

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. Jungseock Joo
2. Kimmo Kärkkäinen

In General Social Sciences

1. Jungseock Joo
2. Kimmo Kärkkäinen

In Statistical and Nonlinear Physics

1. Jungseock Joo
2. Kimmo Kärkkäinen

In Evaluation & Benchmarks

1. Jungseock Joo
2. Kimmo Kärkkäinen
3. Yun Raymond Fu
4. Zaid Khan

Citations in the corpus

• FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age (2019, methodology): “First we consider images uploaded by Twitter users whose locations are identified by geo-tags (longitude and latitude), provided by [51].”
• FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation (2021, methodology): “First we consider images uploaded by Twitter users whose locations are identified by geo-tags (longitude and latitude), provided by [53].”