{"id":"W3094359535","doi":"10.1080/15295036.2020.1832697","title":"Politics and porn: how news media characterizes problems presented by deepfakes","year":2020,"lang":"en","type":"article","venue":"Critical Studies in Media Communication","topic":"Gender, Feminism, and Media","field":"Social Sciences","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Politics; Sociology; Media studies; Advertising; News media; Political science; Law; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006464078,0.000700001,0.000418939,0.004796157,0.009820346,0.01275558,0.001003653,0.003519597,0.003514663],"category_scores_gemma":[0.02129014,0.0005684778,0.0003137061,0.003088181,0.01969146,0.01430687,0.005839495,0.004527071,0.0004519491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004348571,"about_ca_system_score_gemma":0.001289169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004799609,"about_ca_topic_score_gemma":0.005175253,"domain_scores_codex":[0.9916139,0.005954888,0.0002488963,0.0005071056,0.001009055,0.0006661225],"domain_scores_gemma":[0.9686156,0.02480267,0.003700646,0.0009007903,0.001372257,0.0006080614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000666612,0.00002288386,0.006282279,0.0001470959,0.000009705304,0.0009976919,0.9430963,0.00004816423,0.001229616,0.03878286,0.001799999,0.007516766],"study_design_scores_gemma":[0.000006357219,0.00003079522,0.007076324,0.0003031707,0.00001234067,0.0006979257,0.9216554,0.0002306934,0.0009424204,0.006957756,0.06205595,0.00003094102],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8320006,0.002814027,0.0047936,0.02211549,0.0004793714,0.00007109944,0.0001605135,0.00006128658,0.137504],"genre_scores_gemma":[0.9943295,0.0007087925,0.0006089568,0.0008673787,0.0001709729,0.00002463664,0.00004984367,0.00006338643,0.003176586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01275558,"threshold_uncertainty_score":0.03418571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1679561116965307,"score_gpt":0.3870973894190838,"score_spread":0.2191412777225532,"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."}}