{"id":"W4413582225","doi":"10.1177/29768640251370900","title":"Reframing algorithmic public opinion: Affect, recursive dynamics, and vernacular practices","year":2025,"lang":"en","type":"article","venue":"Dialogues on Digital Society","topic":"Social Media and Politics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Cognitive reframing; Affect (linguistics); Vernacular; Dynamics (music); Public opinion; Computer science; Political science; Sociology; Public relations; Psychology; Social psychology; Linguistics; Communication; Law; Politics; Philosophy","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":[0.006589223,0.000544033,0.0003446532,0.001256821,0.00433416,0.01333707,0.001013748,0.002707197,0.002559159],"category_scores_gemma":[0.01757996,0.0002042964,0.0003821092,0.0008626863,0.03056941,0.01033424,0.004484711,0.004302655,0.0006374868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002675366,"about_ca_system_score_gemma":0.0009622524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001176265,"about_ca_topic_score_gemma":0.001403178,"domain_scores_codex":[0.9926888,0.005196773,0.0001775804,0.0005765025,0.0009654185,0.0003948983],"domain_scores_gemma":[0.9904085,0.007176694,0.0005856811,0.0008571086,0.0006803959,0.0002915175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003408226,0.0000104499,0.0007086591,0.00007331496,0.000007399761,0.0001795503,0.2182156,0.0002230414,0.0009633669,0.7619436,0.003121928,0.014519],"study_design_scores_gemma":[0.00002520418,0.00008584582,0.002259511,0.0003786981,0.00003293621,0.0004039518,0.1241222,0.002486338,0.00162499,0.4641713,0.4043423,0.00006694566],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2292375,0.005540017,0.09708166,0.1331312,0.003992404,0.00008037504,0.00008013511,0.0004741588,0.5303826],"genre_scores_gemma":[0.9880724,0.000503906,0.002098416,0.002862639,0.0006165624,0.00002388386,0.00001549708,0.00009696896,0.005709638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01333707,"threshold_uncertainty_score":0.03484756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03637795911541179,"score_gpt":0.3392339726108194,"score_spread":0.3028560134954076,"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."}}