The Automatic Conservative: Ideology-Based Attentional Asymmetries in the Processing of Valenced Information
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{"title"=>"The automatic conservative: Ideology-based attentional asymmetries in the processing of valenced information", "type"=>"journal", "authors"=>[{"first_name"=>"Luciana", "last_name"=>"Carraro", "scopus_author_id"=>"32667502200"}, {"first_name"=>"Luigi", "last_name"=>"Castelli", "scopus_author_id"=>"7005084179"}, {"first_name"=>"Claudia", "last_name"=>"Macchiella", "scopus_author_id"=>"54381997700"}], "year"=>2011, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"362888193", "issn"=>"19326203", "isbn"=>"19326203", "doi"=>"10.1371/journal.pone.0026456", "scopus"=>"2-s2.0-80655128544", "pmid"=>"22096486", "sgr"=>"80655128544"}, "id"=>"e58f1b29-4c48-39cf-aa9c-8cbedf76a72a", "abstract"=>"Research has widely explored the differences between conservatives and liberals, and it has been also recently demonstrated that conservatives display different reactions toward valenced stimuli. However, previous studies have not yet fully illuminated the cognitive underpinnings of these differences. In the current work, we argued that political ideology is related to selective attention processes, so that negative stimuli are more likely to automatically grab the attention of conservatives as compared to liberals. In Experiment 1, we demonstrated that negative (vs. positive) information impaired the performance of conservatives, more than liberals, in an Emotional Stroop Task. This finding was confirmed in Experiment 2 and in Experiment 3 employing a Dot-Probe Task, demonstrating that threatening stimuli were more likely to attract the attention of conservatives. Overall, results support the conclusion that people embracing conservative views of the world display an automatic selective attention for negative stimuli.", "link"=>"http://www.mendeley.com/research/automatic-conservative-ideologybased-attentional-asymmetries-processing-valenced-information", "reader_count"=>79, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Professor > Associate Professor"=>1, "Researcher"=>14, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>24, "Student > Postgraduate"=>4, "Student > Master"=>10, "Other"=>7, "Student > Bachelor"=>5, "Lecturer"=>2, "Professor"=>4}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Professor > Associate Professor"=>1, "Researcher"=>14, "Student > Doctoral Student"=>5, "Student > Ph. D. Student"=>24, "Student > Postgraduate"=>4, "Student > Master"=>10, "Other"=>7, "Student > Bachelor"=>5, "Lecturer"=>2, "Professor"=>4}, "reader_count_by_subject_area"=>{"Unspecified"=>5, "Engineering"=>1, "Biochemistry, Genetics and Molecular Biology"=>1, "Neuroscience"=>3, "Philosophy"=>2, "Arts and Humanities"=>1, "Business, Management and Accounting"=>3, "Psychology"=>44, "Social Sciences"=>12, "Computer Science"=>4, "Earth and Planetary Sciences"=>2, "Economics, Econometrics and Finance"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Neuroscience"=>{"Neuroscience"=>3}, "Social Sciences"=>{"Social Sciences"=>12}, "Psychology"=>{"Psychology"=>44}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>2}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Computer Science"=>{"Computer Science"=>4}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>3}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>5}, "Arts and Humanities"=>{"Arts and Humanities"=>1}, "Philosophy"=>{"Philosophy"=>2}}, "reader_count_by_country"=>{"New Zealand"=>1, "Canada"=>1, "Sweden"=>1, "Netherlands"=>1, "United States"=>5, "Poland"=>1, "Italy"=>2, "United Kingdom"=>3, "Chile"=>1, "India"=>1}, "group_count"=>2}

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Relative Metric

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