{"id":"W2736051374","doi":"10.1145/3097286.3097324","title":"The Political Economy of Social Data","year":2017,"lang":"en","type":"article","venue":"","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Social media; Consolidation (business); Politics; Diversification (marketing strategy); News aggregator; Digital economy; Business; Marketing; Public relations; Data science; Computer science; Political science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02797093,0.0002684432,0.0004300882,0.005078343,0.006653194,0.01775658,0.001195122,0.003528507,0.007863619],"category_scores_gemma":[0.06585807,0.0007931749,0.0003683576,0.005059048,0.02953057,0.02361569,0.008606116,0.00514673,0.0007670153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007374295,"about_ca_system_score_gemma":0.00454283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003407813,"about_ca_topic_score_gemma":0.003177547,"domain_scores_codex":[0.9720516,0.01865462,0.0006131254,0.002204967,0.005185169,0.001290507],"domain_scores_gemma":[0.8663303,0.113556,0.006976917,0.006871587,0.004019921,0.002245266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007763877,0.00001010524,0.001141767,0.00002717364,0.00000681522,0.00007586113,0.002164961,0.000403434,0.00008923389,0.9879771,0.000871991,0.00722378],"study_design_scores_gemma":[0.0000138415,0.00002137379,0.002160429,0.0002277809,0.00001082719,0.0001980422,0.00660499,0.003750315,0.0004497584,0.8955745,0.09095536,0.0000327572],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1471723,0.005535236,0.1359839,0.1296813,0.0005057068,0.0002721304,0.0005071287,0.0001268644,0.5802154],"genre_scores_gemma":[0.9795337,0.001373867,0.008409939,0.001765685,0.0004235976,0.0002362967,0.00008681761,0.00007414765,0.008095989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02797093,"threshold_uncertainty_score":0.1479262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06499052424264756,"score_gpt":0.2622615234451154,"score_spread":0.1972709992024678,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}