Parsimonious data: How a single Facebook like predicts voting behavior in multiparty systems
Publication Date
September 20, 2017
Authors
Jakob Bæk Kristensen, Thomas Albrechtsen, Emil Dahl Nielsen, Michael Jensen, et al
Volume
12
Issue
9
Pages
e0184562
DOI
https://dx.plos.org/10.1371/journal.pone.0184562
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0184562
Scopus
85031708418
Mendeley
http://www.mendeley.com/research/parsimonious-data-single-facebook-like-predicts-voting-behavior-multiparty-systems
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Mendeley | Further Information

{"title"=>"Parsimonious data: How a single Facebook like predicts voting behavior in multiparty systems", "type"=>"journal", "authors"=>[{"first_name"=>"Jakob Bæk", "last_name"=>"Kristensen", "scopus_author_id"=>"57196066385"}, {"first_name"=>"Thomas", "last_name"=>"Albrechtsen", "scopus_author_id"=>"57196061536"}, {"first_name"=>"Emil", "last_name"=>"Dahl-Nielsen", "scopus_author_id"=>"57196062322"}, {"first_name"=>"Michael", "last_name"=>"Jensen", "scopus_author_id"=>"57196062397"}, {"first_name"=>"Magnus", "last_name"=>"Skovrind", "scopus_author_id"=>"57196067087"}, {"first_name"=>"Tobias", "last_name"=>"Bornakke", "scopus_author_id"=>"57196063187"}], "year"=>2017, "source"=>"PloS one", "identifiers"=>{"scopus"=>"2-s2.0-85031708418", "pmid"=>"28931023", "arxiv"=>"1704.01143", "sgr"=>"85031708418", "issn"=>"19326203", "pui"=>"618835006", "isbn"=>"1111111111", "doi"=>"10.1371/journal.pone.0184562"}, "id"=>"8f901a26-1ec7-359e-a5f6-3af6b74df77b", "abstract"=>"This study shows how liking politicians’ public Facebook posts can be used as an accurate measure for predicting present-day voter intention in a multiparty system. We highlight that a few, but selective digital traces produce prediction accuracies that are on par or even greater than most current approaches based upon bigger and broader datasets. Combining the online and offline, we connect a subsample of surveyed respondents to their public Facebook activity and apply machine learning classifiers to explore the link between their political liking behaviour and actual voting intention. Through this work, we show that even a single selective Facebook like can reveal as much about political voter intention as hundreds of heterogeneous likes. Further, by including the entire political like history of the respondents, our model reaches prediction accuracies above previous multiparty studies (60– 70%). The main contribution of this paper is to show how public like-activity on Facebook allows political profiling of individual users in a multiparty system with accuracies above previous studies. Beside increased accuracies, the paper shows how such parsimonious measures allows us to generalize our findings to the entire population of a country and even across national borders, to other political multiparty systems. The approach in this study relies on data that are publicly available, and the simple setup we propose can with some limitations, be generalized to millions of users in other multiparty systems.", "link"=>"http://www.mendeley.com/research/parsimonious-data-single-facebook-like-predicts-voting-behavior-multiparty-systems", "reader_count"=>15, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Librarian"=>1, "Researcher"=>2, "Student > Ph. D. Student"=>3, "Other"=>2, "Student > Master"=>2, "Student > Bachelor"=>2, "Lecturer"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Librarian"=>1, "Researcher"=>2, "Student > Ph. D. Student"=>3, "Other"=>2, "Student > Master"=>2, "Student > Bachelor"=>2, "Lecturer"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Environmental Science"=>1, "Medicine and Dentistry"=>2, "Arts and Humanities"=>1, "Business, Management and Accounting"=>2, "Chemical Engineering"=>1, "Psychology"=>1, "Social Sciences"=>4, "Computer Science"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>2}, "Social Sciences"=>{"Social Sciences"=>4}, "Psychology"=>{"Psychology"=>1}, "Computer Science"=>{"Computer Science"=>2}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>2}, "Unspecified"=>{"Unspecified"=>1}, "Environmental Science"=>{"Environmental Science"=>1}, "Chemical Engineering"=>{"Chemical Engineering"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "group_count"=>3}

Scopus | Further Information

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