{"id":"W4285093335","doi":"10.1080/17544750.2022.2093238","title":"Constructing patriotic networked publics: conservative YouTube influencers in Hong Kong","year":2022,"lang":"en","type":"article","venue":"Chinese Journal of Communication","topic":"Hong Kong and Taiwan Politics","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Influencer marketing; Public sphere; Social media; Government (linguistics); Media studies; Sociology; Allegiance; Democracy; Digital media; Politics; Political science; Law; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001538671,0.0003528929,0.0002980136,0.0009577747,0.01038807,0.003516362,0.0006836633,0.0006019882,0.002531783],"category_scores_gemma":[0.002337477,0.0003152478,0.0001692598,0.0009432269,0.006056827,0.00189793,0.003050633,0.001108814,0.0002464757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005655756,"about_ca_system_score_gemma":0.004314579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1382649,"about_ca_topic_score_gemma":0.2500238,"domain_scores_codex":[0.9988725,0.0004537116,0.00004033254,0.0001209173,0.0001250459,0.0003874832],"domain_scores_gemma":[0.9981728,0.0005791501,0.0003207387,0.0001069738,0.0002658189,0.0005546326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004839727,0.00004102811,0.04412868,0.00004563414,0.000007979075,0.002283906,0.9433881,0.00003840117,0.0006855469,0.002104405,0.001728183,0.005499827],"study_design_scores_gemma":[0.000002435607,0.00002599316,0.01693369,0.00002452635,0.000005815428,0.0001278672,0.9740493,0.0001313544,0.0002071511,0.0001350141,0.00834318,0.00001367448],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960414,0.00006068695,0.00008440274,0.0004475294,0.00001650779,0.00001729286,0.00001564149,0.000004104262,0.00331241],"genre_scores_gemma":[0.9969812,0.00007810191,0.0000495517,0.0001316088,0.000005513263,0.00001094825,0.00002079731,0.000006146965,0.002716188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1382649,"threshold_uncertainty_score":0.2749203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176419648077885,"score_gpt":0.317203375456503,"score_spread":0.2954391789757241,"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."}}