{"id":"W4414592186","doi":"10.1080/19312458.2025.2553300","title":"Can we use automated approaches to measure the quality of online political discussion? How to (not) measure interactivity, diversity, rationality, and incivility in online comments to the news","year":2025,"lang":"en","type":"article","venue":"Communication Methods and Measures","topic":"Social Media and Politics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"HORIZON EUROPE Framework Programme; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit van Amsterdam","keywords":"Measure (data warehouse); Incivility; Quality (philosophy); Politics; Online discussion; Social media","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":[0.04780608,0.00144016,0.001242571,0.00911101,0.001146962,0.00919591,0.002128323,0.002025343,0.00335932],"category_scores_gemma":[0.2742824,0.000793509,0.001065731,0.005976015,0.002581642,0.01136747,0.003169652,0.002188497,0.003211391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001433534,"about_ca_system_score_gemma":0.002002705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004137833,"about_ca_topic_score_gemma":0.006716023,"domain_scores_codex":[0.934313,0.04652752,0.002911611,0.005163935,0.01005279,0.001031007],"domain_scores_gemma":[0.5644036,0.2726449,0.05939028,0.05776097,0.04227343,0.003526706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005472297,0.000500311,0.5159387,0.0009029974,0.001042402,0.00006741402,0.006215807,0.00764811,0.002351254,0.007014704,0.00804565,0.4497254],"study_design_scores_gemma":[0.0003386955,0.001505919,0.5724986,0.001311013,0.0005470559,0.0005418026,0.01543146,0.2442932,0.01676036,0.1147065,0.03103201,0.001033389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6546071,0.003093461,0.2870572,0.01036654,0.0009478217,0.001042401,0.004862522,0.003443643,0.03457939],"genre_scores_gemma":[0.9214564,0.0003959422,0.07446104,0.0006526702,0.0002770813,0.0004895318,0.0009148423,0.0001692075,0.001183364],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04780608,"threshold_uncertainty_score":0.2528257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4258519463549308,"score_gpt":0.4986163016741679,"score_spread":0.07276435531923703,"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."}}