Understanding lurkers in online communities: A literature review
By Na Sun, Pei-Luen Patrick Rau, Liang Ma. Computers in Human Behavior, 2014
476 citations recorded by the source corpus.
Subfields: Communication, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/b128d3601833adb07b3fb3258625cc6686d7224f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
In Sociology and Political Science
- A. Monga
- Benedita Araujo
- Tiago Oliveira
- Iryna Gurevych
- Carey K. Morewedge
- Robert W. Palmatier
- Ivan Habernal
- Suzanne B. Shu
Citations in the corpus
- Evolution of Consumption: A Psychological Ownership Framework (2020, background): “While the majority of users do not post personal information on social media (Sun, Rau, and Ma 2014), many consumers do divulge a variety of personal data online, such as their location on Foursquare or Instagram, their employment on Twitter or LinkedIn, their family on Facebook, and their spending…”
- Why do people share their travel experiences on social media? (2020, background): “Earlier studies have defined the lurker concept in different ways, such as, “silent groups” (Sun, Rau, & Ma, 2014), as someone who has never shared any type of information on social networks (Preece, Nonnecke, & Andrews, 2004), a person who reads but never posts (Munar & Jacobsen, 2014), or an…”
- Argumentation Mining in User-Generated Web Discourse (2016, background): “…or persuasion is inherent when users discuss controversial topics, but the true reasons why people participate in on-line communities and what drives their behavior is another research question (Bishop 2007; Cullen and Morse 2011; de Melo Bezerra and Hirata 2011; Sun, Rau, and Ma 2014).”
- Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions. (2016, background): “captured by quantitative usage data—such as “lurking,” a common phenomenon whereby users read and may benefit from the content in online social communities but do not actively interact with the digital intervention.(26,27) Typical qualitative methods include focus groups; interviews; observation of ”