Norms of online expressions of emotion: Comparing Facebook, Twitter, Instagram, and WhatsApp

By Sophie F. Waterloo, Susanne E. Baumgartner, Jochen Peter, Patti M. Valkenburg. New Media & Society, 2017

497 citations recorded by the source corpus.

The main aim of this study was to examine the norms of expressing emotions on social media. Specifically, the perceived appropriateness (i.e. injunctive norms) of expressing six discrete emotions (i.e. sadness, anger, disappointment, worry, joy, and pride) was investigated across four different social media platforms. Drawing on data collected in March 2016 among 1201 young Dutch users (15–25 years), we found that positive expressions were generally perceived as more appropriate than negative expressions across all platforms. In line with the objective of the study, some platform differences were found. The expression of negative emotions was rated as most appropriate for WhatsApp, followed by Facebook, Twitter, and Instagram. For positive emotion expression, perceived appropriateness was highest for WhatsApp, followed by Instagram, Facebook, and Twitter. Additionally, some gender differences were found, while age showed little variations. Overall, the results contribute to a more informed understanding of emotion expression online.

Subfields: Communication, Sociology and Political Science, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/8cfa5906ab4a32ccfc523cc11e12b9b848c2d6b2

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. Chloé Briggs
  2. A. Schoemann
  3. Derrick Wirtz
  4. Amanda Tucker

In Sociology and Political Science

  1. Chloé Briggs
  2. A. Schoemann
  3. Derrick Wirtz
  4. Amanda Tucker

Citations in the corpus