{"id":"W4409657554","doi":"10.1145/3696410.3714750","title":"The Agenda-Setting Function of Social Media","year":2025,"lang":"en","type":"article","venue":"","topic":"Social Media and Politics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Social media; Function (biology); Computer science; Political science; World Wide Web; Cell biology","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":[0.007395341,0.001073976,0.0004655972,0.006175581,0.002830252,0.009427438,0.001034767,0.001625152,0.01325979],"category_scores_gemma":[0.02910855,0.00071885,0.0008052598,0.004246315,0.004927692,0.0107105,0.004097901,0.002473584,0.002894732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002224896,"about_ca_system_score_gemma":0.001317475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001928304,"about_ca_topic_score_gemma":0.00132953,"domain_scores_codex":[0.9929572,0.004161335,0.000298232,0.0009125095,0.001247267,0.000423512],"domain_scores_gemma":[0.9680386,0.02004754,0.00464984,0.003321621,0.002583353,0.00135903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000423429,0.0002906535,0.06588151,0.001536222,0.0003379944,0.000975211,0.07416859,0.002639781,0.01519135,0.5134934,0.01164499,0.313417],"study_design_scores_gemma":[0.0001755573,0.0004385474,0.1021272,0.001604662,0.0003538849,0.001290717,0.03783283,0.0104951,0.01234413,0.5262377,0.3067659,0.0003337906],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2606298,0.003890841,0.08854806,0.01273591,0.0009860497,0.0005085638,0.001253887,0.0008650449,0.6305819],"genre_scores_gemma":[0.9601502,0.00145904,0.01949242,0.0009221775,0.0008982687,0.0003584301,0.0004357165,0.0002005664,0.01608319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01325979,"threshold_uncertainty_score":0.04435843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03204683065165932,"score_gpt":0.341012647962126,"score_spread":0.3089658173104667,"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."}}