Facebook news and (de)polarization: reinforcing spirals in the 2016 US election

By Michael A. Beam, Myiah J. Hutchens, Jay D. Hmielowski. 2018

Subfields: Natural Language Processing, Social Sciences & Humanities

How researchers see this paper

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

In Natural Language Processing

1. Pushmeet Kohli
2. Silvia Chiappa
3. Dawn Song
4. Rishabh Singh
5. Xinyun Chen
6. Chang Liu

In Social Sciences & Humanities

1. Yanna Krupnikov
2. James N. Druckman
3. Silvia Chiappa

Citations in the corpus

• Degenerate Feedback Loops in Recommender Systems (2019, background): “On the other hand, Borgesius et al. (2016); Beam, Hutchens, and Hmielowski (2018); Nechush-tai and Lewis (2018) found counter-evidence on online news consumption.”
• How Affective Polarization Shapes Americans’ Political Beliefs: A Study of Response to the COVID-19 Pandemic (2020, result): “The re-interview survey included one measure of affective polarization – the feeling thermometer item – and we find, consistent with prior work (Alwin 1997; Beam et al. 2018), that it is relatively stable over time: there is a correlation of .”