{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001114329,0.00003772613,0.00006170856,0.00001022023,0.0003790815,0.001513232,0.0007137967,0.0000161262,0.00006611436],"category_scores_gemma":[0.0000449797,0.00002408577,0.00002222782,0.000005831529,0.00009721734,0.004529537,0.0006464701,0.000022694,0.0001994463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003647532,"about_ca_system_score_gemma":0.000007217442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001773947,"about_ca_topic_score_gemma":0.0001612266,"domain_scores_codex":[0.9996579,6.971788e-8,0.0001037219,0.00007821997,0.00002091286,0.0001391206],"domain_scores_gemma":[0.9994366,0.00001292792,0.00009914352,0.000429105,0.00001827118,0.000003911858],"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":[0.000002900061,0.000006088584,0.001084836,0.000006495834,0.000006832426,1.293819e-7,5.691781e-7,3.422947e-8,3.785944e-7,0.9844977,0.01046782,0.003926178],"study_design_scores_gemma":[0.000114393,8.691419e-7,0.005623315,0.000001083087,0.000006154355,1.308352e-7,0.0003319759,0.001874361,0.000004914627,0.5455986,0.4463893,0.00005484542],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06972414,0.00000126004,0.00001295467,0.005119407,0.0001127076,0.00002862723,0.000002432789,0.000009214494,0.9249893],"genre_scores_gemma":[0.9974153,1.46892e-7,0.00001168525,0.001386703,0.0006670417,6.048647e-7,0.00001546073,0.000004040275,0.0004990132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9276912,"threshold_uncertainty_score":0.9995233,"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."}}