To stay or leave?: the relationship of emotional and informational support to commitment in online health support groups

By Yi-Chia Wang, Robert E. Kraut, John M. Levine. Conference on Computer Supported Cooperative Work, 2012

337 citations recorded by the source corpus.

Subfields: Communication, General Health Professions, Social Psychology

View Paper: https://www.semanticscholar.org/paper/ee5baa3f5692433d9194b04046690f9145693686

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 General Health Professions

In Social Psychology

Citations in the corpus

It’s going to be okay: Measuring Access to Support in Online Communities (2018, neutral): “Three works have examined related tasks where Biyani et al. (2014) and Khanpour et al. (2018) classify posts in online cancer support groups as providing informational or emotional support and Wang et al. (2012) classify the degree of support along these dimensions.”
“ Turn on , Tune in , Drop out ” : Anticipating student dropouts in Massive Open Online Courses (2013, methodology): “Such a model might offer some answers to questions such as what kinds of students might be more likely to persist in a course past a particular hurdle, or how important is it that students receive immediate responses to their queries, or does it matter whether answers to queries come from the instru”
Amazon Mechanical Turk: A Research Tool for Organizations and Information Systems Scholars (2012, positive): “Wang, Kraut, & Levine [19] had Turkers code discussion forum messages for whether they offered information or emotional support.”
Comparing Person- and Process-centric Strategies for Obtaining Quality Data on Amazon Mechanical Turk (2015, positive): “For example, prior work by Wang, Kraut, & Levine [43] asked workers to code discussion forum messages for whether they offered information or provided emotional support.”
From Human-Human Collaboration to Human-AI Collaboration: Designing AI Systems That Can Work Together with People (2020, background): “Some examples are: AI-powered Clinical Decision Support systems (AI-CDSS) (Fig 1), customer service chatbots [6] (Fig 2), and automated machine learning (AutoAI) [7] (Fig 3).”
Social Barriers Faced by Newcomers Placing Their First Contribution in Open Source Software Projects (2015, background): “The qualitative view complements the existing dominant quantitative-based research on newcomers’ joining process [27, 28, 36, 84, 88, 89].”
Sentiment Analysis in MOOC Discussion Forums: What does it tell us? (2014, methodology): “A similar approach was used in a previous analysis of social support in an online medical support community [30].”
Social factors that contribute to attrition in MOOCs (2014, methodology): “In order to evaluate the impact of social factors on continued participation within the MOOC context, we used a survival model, as in prior work [3,4].”