1) Introductory information 
Title of dataset: Data underlying the publication: Wellbeing by design: How social media and streaming platforms support user wellbeing. 
Description: This codebook specifies a classification scheme for user behavior associated with specific positive activities supported by 165 purpose-built features of six widely used social media and streaming platforms: Facebook, Instagram, LinkedIn, Pinterest, Spotify, YouTube. Positive activities are certain strategies aimed at cultivating positive behaviors, feelings, or thoughts (Sin & Lyubomirksy, 2009), such as expressing gratitude or practicing acts of kindness. 


2) Methodological information
Method for data collection: The features were identified based on direct use 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 then 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'. A Codebook for user behavior can also be found in the repository. 

3) Data-specific information: Codebook 'User Behavior'
Definition 'User Behavior': A short label for user behaviors associated with practicing specific positive activities
Definition 'Design Type': see 2 
Definition 'Description': A short definition of the user behavior

4) References 
(1) 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.

  