{"id":"W4292819996","doi":"10.1177/14614448221113923","title":"Participatory censorship: How online fandom community facilitates authoritarian rule","year":2022,"lang":"en","type":"article","venue":"New Media & Society","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Concordia University","funders":"","keywords":"Censorship; Authoritarianism; Social media; Sociology; Citizen journalism; Politics; Online community; Public relations; Political science; Media studies; Democracy; Law","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003783159,0.0001326128,0.0002638205,0.00003147169,0.003097752,0.00007439173,0.0004772793,0.00007485886,0.00131934],"category_scores_gemma":[0.001032923,0.0001356019,0.0003842939,0.0006057953,0.0003025352,0.0001395335,0.0002185643,0.0007888089,0.00001558348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000254744,"about_ca_system_score_gemma":0.0005082842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006317821,"about_ca_topic_score_gemma":0.00605155,"domain_scores_codex":[0.9953926,0.002950005,0.0002099206,0.00020855,0.0008423841,0.0003965397],"domain_scores_gemma":[0.9968083,0.002433998,0.0001039178,0.0002285398,0.0001042981,0.0003209364],"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":[0.00003896382,0.000620285,0.01462425,0.00002015611,0.0002750392,0.000005473744,0.8139145,0.0006176696,0.0003447399,0.01036309,0.1080351,0.05114078],"study_design_scores_gemma":[0.0008608231,0.0000445936,0.03666632,0.0000051782,0.000108922,6.530913e-7,0.4003659,0.001385287,0.00002104567,0.03812501,0.522103,0.0003133177],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715183,0.0007287168,0.001146509,0.0238416,0.0008737658,0.0001946365,0.0001603487,0.000208479,0.0013277],"genre_scores_gemma":[0.9835557,0.00004874622,0.0109316,0.0006809042,0.0006376334,0.00002994663,0.000193974,0.00001255659,0.003908904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.414068,"threshold_uncertainty_score":0.9995936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1814214380344424,"score_gpt":0.3824314028423084,"score_spread":0.2010099648078661,"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."}}