Normative influences on thoughtful online participation
By Abhay Sukumaran, Stephanie Vezich, M. McHugh, Clifford Nass. 2011
118 citations recorded by the source corpus.
Subfields: Literature and Literary Theory, Sociology and Political Science
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Literature and Literary Theory
In Sociology and Political Science
- Reuben Binns
- Justin Cheng
- Eric Gilbert
- Emilee J. Rader
- Rebecca Gray
- Nigel R. Shadbolt
- M. V. Kleek
- Dan Cosley
Citations in the corpus
- To Buy or to Read: How a Platform Shapes Reviewing Behavior (2021, background): “Platform design factors include aesthetics, priming through Captchas, and explicit prompts in web forms (Sukumaran et al. 2011).”
- Understanding User Beliefs About Algorithmic Curation in the Facebook News Feed (2015, background): “might learn that the Facebook News Feed prioritizes major life events over other kinds of posts, and subsequently believe that if she doesn’t post about celebratory occasions her posts won’t be viewed by others [32].”
- Like Trainer, Like Bot? Inheritance of Bias in Algorithmic Content Moderation (2017, background): “thoughtful or thoughtless) [32], and users’ perceptions of the content they comment on [2].”
- Crossmod: A Cross-Community Learning-based System to Assist Reddit Moderators (2019, background): “Such platforms lack the data and resources required to develop reliable automated moderation systems for triaging undesirable content [65].”
- Competing or aiming to be average?: normification as a means of engaging digital volunteers (2014, background): “Finally, evidence from Sukumaran [48] (in line with the Focus Theory of Normative Conduct) indicates that the design of a virtual environment can affect the expression of norms, suggesting that over emphasis on other-competition may make contributory norms less salient, thus reducing the impact of n”
- How annotation styles influence content and preferences (2013, background): “Sukumuran et al. proposed the use of situational norms, or showing users desired examples to encourage them to contribute similarly [20]; showing pre-generated MWTs could encourage new users to also tag in a similar fashion.”