{"id":"W2883134502","doi":"10.1177/2056305118786719","title":"Social Media for Social Good or Evil: An Introduction","year":2018,"lang":"en","type":"article","venue":"Social Media + Society","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"University of Illinois at Urbana-Champaign; Canada Research Chairs; Syracuse University","keywords":"Outrage; Skepticism; Social media; Social issues; Sociology; Form of the Good; Public relations; Good and evil; Media studies; Political science; Social psychology; Environmental ethics; Psychology; Epistemology; Law; Politics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002214462,0.0002808808,0.0004340578,0.00006108385,0.005993686,0.000299634,0.0004702522,0.0007238273,0.001551652],"category_scores_gemma":[0.002470341,0.0002686916,0.0004717008,0.0007619029,0.001624146,0.001184594,0.00006388111,0.0003443859,0.0001171967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005305589,"about_ca_system_score_gemma":0.0009795838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004588488,"about_ca_topic_score_gemma":0.009337191,"domain_scores_codex":[0.9966516,0.0003039959,0.0005134332,0.0004086056,0.001142892,0.0009794482],"domain_scores_gemma":[0.9979939,0.0004635551,0.000358471,0.0001376205,0.0007230362,0.0003233634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007150111,0.00006489319,0.00000544422,0.00001604029,0.00003824733,1.273139e-7,0.6271957,2.668125e-8,0.00009915027,0.04478545,0.306547,0.02117635],"study_design_scores_gemma":[0.001469785,0.000103545,0.001002238,0.000004761093,0.00008902154,6.373688e-7,0.4725437,0.00003667983,0.0001862471,0.008386056,0.5156984,0.0004789001],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7409504,0.0001035654,0.002351788,0.1752242,0.02562688,0.003541688,0.0007492859,0.00237898,0.04907319],"genre_scores_gemma":[0.8906452,0.00005783514,0.0010365,0.001856513,0.1051322,0.00004669483,0.0002367335,0.00005848932,0.0009298274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2091514,"threshold_uncertainty_score":0.9999765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08709726390716978,"score_gpt":0.381164766387663,"score_spread":0.2940675024804932,"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."}}