1. Introductory information 
Title of dataset: Data underlying the publication: Wellbeing by design: How social media and streaming platforms support user wellbeing
Description: The data set contains a qualitative analysis of 165 features of four social media and two streaming platforms that are seemingly purpose-built to support positive activities. The platforms include: Facebook, Instagram, LinkedIn, Pinterest, Spotify, YouTube. The platforms were chosen based on a) their popularity (as indicated by monthly active users), b) their claims to support aspects of wellbeing (based on PR/Marketing or mission statements), and c) the researchers' familiarity with them. 

2. Methodological information: 
Method for data collection: The data was collected through expert analysis by directly using each of the platforms. The screening for features took place between January and June 2024. The features were catalogued, noting a) feature name, b) feature description, c) design type, i.e. Proactive or Protective Design, and d) platform. If available, a link to a blog article or company website detailing the design intention for the feature was documented. 

Method for data processing: 
The features were categorized with regard to a) the positive activity they supported and b) the design mechanisms employed to support the activity. Features were assigned to positive activities based on their attributed design intentions. These intentions were inferred from a) the explicit design goals (if known) and/or b) the researchers' judgement. Two design types were differentiated: a) Proactive Design and b) Protective Design. Proactive Designs comprise features that directly promote positive activities. Protective Designs enable positive activities by creating the 'right' conditions, including withstanding or counteracting adverse factors, to engage in positive activities. In addition, each category of positive activity was further divided into specific types of user behavior. For example, the activity 'nurturing social relationships' was divided into 'direct exchange' with others, 'connecting with others', 'collaborative use' , and 'self-disclosure'. Codebooks for a) user behavior and b) design mechanisms can be found in the repository. 

3. Data-specific information: 
Definition 'Platform': The name of the platform the feature belongs to 
Definition 'Feature': The name of the feature
Definition 'User Behavior': Types of user behavior associated with a specific positive activity
Definition 'Feature Description': A short description of the main purpose and functionalities of the features
Definition 'Product Category': The type of technology the feature belongs to: social vs. streaming 
Definition 'Positive Activity': Certain strategies aimed at cultivating positive behaviors, feelings, or thoughts (Sin & Lyubomirksy, 2009), such as expressing gratitude or practicing acts of kindness. 
Definition 'Design Mechanisms': Specific methods, processes, or techniques used to activate psychological or contextual factors that drive behavior, such as reminders, rewards, or feedback (Michie et al., 2011, 2013)
Definition 'Links': Links to technology blogs or company websites that document the intended purpose behind the design of the feature

4. References 
(1) Michie, S., Richardson, M., Johnston, M., Abraham, C., Francis, J., Hardeman, W., Eccles, M.P., Cane, J., Wood, C.E. (2013). The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: Building an international consensus for the reporting of behavior change interventions. Annals of Behavioral Medicine, 46(1), 81–95. https://doi.org/10.1007/s12160-013-9486-6. 
(2) Michie, S., Williams, S., Sniehotta, F. F., Dombrowski, S. U., Bishop, A., French, D. (2011). A refined taxonomy of behavior change techniques to help people change their physical activity and healthy eating behaviors: The CALO-RE taxonomy. Psychology & Health, 26, 1479–1498. https://doi.org/10.1080/08870446.2010.540664. 
(3) Sin, N. L., & Lyubomirsky, S. (2009). Enhancing well-being and alleviating depressive symptoms with positive psychology interventions: A practice-friendly meta-analysis. Journal of Clinical Psychology: In Session, 65(5), 467–487.

