ABSTRACT. I develop a conceptual framework based on a systematic and comprehensive literature review on public trust in digital platform operations. Building my argument by drawing on data collected from Pew Research Center, I performed analyses and made estimates regarding machine learning algorithmic structuring of social media content. The data for this research were gathered via an online survey questionnaire and were analyzed through structural equation modeling on a sample of 4,700 respondents.

Keywords: public trust; digital platform; machine learning; algorithm; social media

How to cite: Mircica, N. (2020). “Restoring Public Trust in Digital Platform Operations: Machine Learning Algorithmic Structuring of Social Media Content,” Review of Contemporary Philosophy 19: 85–91. doi:10.22381/RCP1920209

Received 12 June 2020 • Received in revised form 19 August 2020
Accepted 21 August 2020 • Available online 22 August 2020