{"id":"W2932595524","doi":"10.1177/2056305119832588","title":"Free Speech and Safe Spaces: How Moderation Policies Shape Online Discussion Spaces","year":2019,"lang":"en","type":"article","venue":"Social Media + Society","topic":"Social Media and Politics","field":"Social Sciences","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Moderation; Space (punctuation); Censorship; Affect (linguistics); Quarter (Canadian coin); Social psychology; Psychology; Democracy; Internet privacy; Sociology; Linguistics; Politics; Political science; Law; History; Computer science; Communication","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02781644,0.0002574226,0.0004340395,0.002157931,0.002489315,0.004524725,0.0005839721,0.0007487971,0.002579779],"category_scores_gemma":[0.1206174,0.0002854183,0.0003665292,0.001464805,0.002828281,0.004809348,0.003124089,0.0009390966,0.0004565415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001485933,"about_ca_system_score_gemma":0.001073289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001045012,"about_ca_topic_score_gemma":0.001871047,"domain_scores_codex":[0.9690371,0.02408542,0.001463838,0.001940758,0.00225646,0.001216521],"domain_scores_gemma":[0.7992131,0.1577965,0.02512998,0.008426134,0.005638723,0.003795485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001807354,0.0003869155,0.6688898,0.0005568754,0.0003104294,0.0002592979,0.2168616,0.001141569,0.009338123,0.01311753,0.001785114,0.08554545],"study_design_scores_gemma":[0.000118303,0.0006472114,0.825341,0.0002765341,0.0001782553,0.000210638,0.1257974,0.004476703,0.006093185,0.0126464,0.0240693,0.0001450834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879435,0.0003653294,0.003918392,0.0007269137,0.00004660696,0.00008799235,0.0001197195,0.00004591691,0.006745581],"genre_scores_gemma":[0.9988418,0.00004561857,0.0006031333,0.00005063771,0.00002343073,0.00006102896,0.0000329768,0.00001764451,0.000323767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02781644,"threshold_uncertainty_score":0.1471091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03218470467036584,"score_gpt":0.3090592875005704,"score_spread":0.2768745828302046,"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."}}