{"id":"W4291820059","doi":"10.1108/ccij-04-2022-0040","title":"Corporate social responsibility and public diplomacy as formulas to reduce hate speech on social media in the fake news era","year":2022,"lang":"en","type":"article","venue":"Corporate Communications An International Journal","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Legislation; Social media; Political science; Transparency (behavior); Public relations; Legislature; European union; Sanctions; Corporate social responsibility; Originality; Sociology; Law; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002403671,0.0001836021,0.0001820889,0.0005538684,0.002126435,0.001269938,0.004754683,0.00005823878,0.00005973598],"category_scores_gemma":[0.0003481586,0.0001663176,0.00009018116,0.0009608623,0.0001544975,0.0009948374,0.001285354,0.00119078,0.00003481181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003890231,"about_ca_system_score_gemma":0.0004127458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007204641,"about_ca_topic_score_gemma":0.0004596447,"domain_scores_codex":[0.9963009,0.001552745,0.0005484541,0.0003635468,0.000925737,0.0003085719],"domain_scores_gemma":[0.9973662,0.0003163421,0.0007153485,0.0009383545,0.0005002462,0.0001635051],"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":[0.0005655246,0.001379144,0.004447699,0.000003328841,0.0001008467,0.0002426863,0.02071328,0.0001450935,0.002841684,0.4955731,0.003824089,0.4701635],"study_design_scores_gemma":[0.004254749,0.001178633,0.300255,0.00005239453,0.00003740827,0.003633597,0.0128583,0.01333947,0.0007998136,0.5928297,0.06942547,0.001335475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554762,0.00003282429,0.00193429,0.03986553,0.0006569879,0.0002906703,0.00003735661,0.0000698816,0.001636311],"genre_scores_gemma":[0.9924385,0.00009616366,0.004960831,0.001987532,0.0002850727,0.00008418189,0.00006100671,0.00001610251,0.000070616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.468828,"threshold_uncertainty_score":0.9997668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.144262959512453,"score_gpt":0.3498696430379279,"score_spread":0.2056066835254749,"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."}}