Building a profile of subjective well-being for social media users
Publication Date
November 14, 2017
Authors
Lushi Chen, Tao Gong, Michal Kosinski, David Stillwell, et al
Volume
12
Issue
11
Pages
e0187278
DOI
https://dx.plos.org/10.1371/journal.pone.0187278
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0187278
Scopus
85033802848
Mendeley
http://www.mendeley.com/research/building-profile-subjective-wellbeing-social-media-users
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Mendeley | Further Information

{"title"=>"Building a profile of subjective well-being for social media users", "type"=>"journal", "authors"=>[{"first_name"=>"Lushi", "last_name"=>"Chen", "scopus_author_id"=>"57196941466"}, {"first_name"=>"Tao", "last_name"=>"Gong", "scopus_author_id"=>"35177507200"}, {"first_name"=>"Michal", "last_name"=>"Kosinski", "scopus_author_id"=>"54915667100"}, {"first_name"=>"David", "last_name"=>"Stillwell", "scopus_author_id"=>"35312763000"}, {"first_name"=>"Robert L.", "last_name"=>"Davidson", "scopus_author_id"=>"57196940164"}], "year"=>2017, "source"=>"PLoS ONE", "identifiers"=>{"doi"=>"10.1371/journal.pone.0187278", "sgr"=>"85033802848", "pui"=>"619229245", "scopus"=>"2-s2.0-85033802848", "issn"=>"19326203", "pmid"=>"29135991", "isbn"=>"1111111111"}, "id"=>"73b6193c-65be-3805-afa4-39b600e9d6f7", "abstract"=>"Subjective well-being includes ‘affect’ and ‘satisfaction with life’ (SWL). This study proposes a unified approach to construct a profile of subjective well-being based on social media language in Facebook status updates. We apply sentiment analysis to generate users’ affect scores, and train a random forest model to predict SWL using affect scores and other language features of the status updates. Results show that: the computer-selected features resemble the key predictors of SWL as identified in early studies; the machine-predicted SWL is moderately correlated with the self-reported SWL (r = 0.36, p < 0.01), indicating that language-based assessment can constitute valid SWL measures; the machine-assessed affect scores resemble those reported in a previous experimental study; and the machinepredicted subjective well-being profile can also reflect other psychological traits like depression (r = 0.24, p < 0.01). This study provides important insights for psychological prediction using multiple, machine-assessed components and longitudinal or dense psychological assessment using social media language.", "link"=>"http://www.mendeley.com/research/building-profile-subjective-wellbeing-social-media-users", "reader_count"=>24, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Librarian"=>1, "Researcher"=>5, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>3, "Student > Postgraduate"=>1, "Other"=>1, "Student > Master"=>5, "Student > Bachelor"=>4, "Lecturer"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Librarian"=>1, "Researcher"=>5, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>3, "Student > Postgraduate"=>1, "Other"=>1, "Student > Master"=>5, "Student > Bachelor"=>4, "Lecturer"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Environmental Science"=>1, "Medicine and Dentistry"=>6, "Neuroscience"=>2, "Business, Management and Accounting"=>1, "Psychology"=>5, "Social Sciences"=>1, "Computer Science"=>6}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>6}, "Neuroscience"=>{"Neuroscience"=>2}, "Social Sciences"=>{"Social Sciences"=>1}, "Psychology"=>{"Psychology"=>5}, "Computer Science"=>{"Computer Science"=>6}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Unspecified"=>{"Unspecified"=>2}, "Environmental Science"=>{"Environmental Science"=>1}}, "group_count"=>2}

Scopus | Further Information

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