{"id":"W3216723538","doi":"10.2196/32427","title":"The Plebeian Algorithm: A Democratic Approach to Censorship and Moderation","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; Confederation College; Queen's University; Ontario Tech University","funders":"","keywords":"Misinformation; Social media; Computer science; Moderation; Microblogging; Newspaper; Distrust; False accusation; Sentiment analysis; Sanctions; Internet privacy; Algorithm; World Wide Web; Psychology; Political science; Sociology; Social psychology; Artificial intelligence; Computer security; Media studies; Law; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.04836911,0.001398678,0.00230294,0.005422955,0.005218131,0.007062852,0.004930044,0.004060199,0.0172646],"category_scores_gemma":[0.1348774,0.001130993,0.002806117,0.003976428,0.007406561,0.01068804,0.009349935,0.005333371,0.003126472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003729118,"about_ca_system_score_gemma":0.005250718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002910362,"about_ca_topic_score_gemma":0.004609364,"domain_scores_codex":[0.9609187,0.02916936,0.001329204,0.004272804,0.003317559,0.0009923271],"domain_scores_gemma":[0.911454,0.06722923,0.00431352,0.01054884,0.005229312,0.001225075],"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":[0.0006457005,0.0001885929,0.008953318,0.0004122774,0.0003134899,0.0002867522,0.004169542,0.04800871,0.001031931,0.7019305,0.01368086,0.2203784],"study_design_scores_gemma":[0.0001473039,0.0001354004,0.001089051,0.0001532826,0.00008001874,0.0001682851,0.000821298,0.3218511,0.0008438612,0.6502104,0.02442991,0.00007008606],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007784066,0.000181953,0.9802317,0.002013626,0.0001451072,0.000640417,0.000264633,0.0005892567,0.00814918],"genre_scores_gemma":[0.1990267,0.0002214746,0.7874436,0.0007530671,0.0004303592,0.002706629,0.0005935642,0.0002973879,0.008527252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04836911,"threshold_uncertainty_score":0.2558033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1203767444586027,"score_gpt":0.4493366608123835,"score_spread":0.3289599163537809,"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."}}