Personality and patterns of Facebook usage

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Predicting the Big 5 personality traits from digital footprints on social media: A meta-analysis (2018, background): “…and e-learning websites may be tailored based on individual personality and present information in ways that will be better received by users (Bachrach et al., 2012; Gao et al., 2013; Golbeck, Robles, & Turner, 2011; Kosinski et al., 2013; Markovikj, Gievska, Kosinski, & Stillwell, 2013).”
Impacts of Personality Traits on Consumer Innovation Success (2016, background): “In the absence of personality data contributed by individual participants, adequately useful personality measures might be generated by social analytics of user-generated content (Bachrach et al. 2012; Wu, Chang, and Yuan 2014).”
Depression detection from social network data using machine learning techniques (2018, methodology): “Bachrach et al. [23] studied how user’s activity on Face-book identifies with their identity, as measured by the standard Five Factor Model.”
Uses and Gratifications of Problematic Social Media Use Among University Students: a Simultaneous Examination of the Big Five of Personality Traits, Social Media Platforms, and Social Media Use Motives (2018, background): “Extraverts have higher number of general and actual friends and group memberships (Bachrach et al. 2012; Kim and Chock 2017; Moore and McElroy 2012), post more status updates and selfies (Bachrach et al.”