Research Questions
- How aware are users of the News Feed curation algorithm and what factors are associated with this awareness?
- How do users evaluate the curation of their News Feed when shown the algorithm outputs? Given the opportunity alter the outputs, how do users’ preferred outputs compare to the algorithm’s?
- How does the knowledge users gain through an algorithm visualization tool transfer to their behavior?
Study Design
- Participants complete questionnaire and interview to measure algorithmic awareness. Researchers collect participants’ network size, News Feed stories and friends’ stories to populate an interface for the next phase.
- Use application (FeedVis) to visualize the algorithm outputs, and used long form open-ended interview to discuss them.
- Emailed participants two-to-six months later to ask closed and open ended questions to evaluate the consequences of any insight gained by observing algorithm outputs.
Recruitment
Modified quota sampling to obtain a non-probability sample that is roughly representative of the US population on four dimensions: gender, age, race/ethnicity, socioeconomic status.
Recruited using posters in public spaces, e-mails to local online communities and civic organizations, and posts on Facebook.
50 gift card.
Data Analysis
Two researchers use line-by-line open coding.
Then, revise categories to agreement, and use axial coding to extract relationship between themes.
Statistical analysis to support qualitative findings.