{"id":"W2205854710","doi":"10.1609/icwsm.v7i1.14398","title":"Agenda Diversity in Social Media Discourse: A Study of the 2012 Korean General Election","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International AAAI Conference on Web and Social Media","topic":"Social Media and Politics","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Ministry of Education, Science and Technology; National Research Foundation of Korea; National Research Foundation","keywords":"Diversity (politics); Salience (neuroscience); Realm; Scope (computer science); Social media; Public discourse; Political science; Public relations; Value (mathematics); Sociology; Politics; Psychology; Computer science","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":[0.009597883,0.000420134,0.0007750213,0.002491411,0.01174632,0.008581168,0.0009986502,0.002040356,0.003445082],"category_scores_gemma":[0.0196415,0.0006615953,0.0004284218,0.003559317,0.004953978,0.008368289,0.005317749,0.003892575,0.0006657429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005757159,"about_ca_system_score_gemma":0.003574382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02838309,"about_ca_topic_score_gemma":0.06948838,"domain_scores_codex":[0.9942472,0.003671932,0.0003531662,0.000402623,0.0004490897,0.0008758912],"domain_scores_gemma":[0.9878964,0.00710401,0.001972317,0.0004718078,0.001288749,0.001266647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00005206085,0.0001004425,0.01768899,0.00006435288,0.000011777,0.0003976168,0.9750713,0.00001640943,0.0003523284,0.001293187,0.0007678214,0.004183824],"study_design_scores_gemma":[0.000005546798,0.00002783125,0.02164462,0.00005084276,0.000007820956,0.000070359,0.9677715,0.00008210431,0.00008779491,0.0002524025,0.009980533,0.00001849906],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933962,0.0002748738,0.000159475,0.00165158,0.00004458871,0.00003128096,0.00004553184,0.000003042442,0.004393374],"genre_scores_gemma":[0.9965531,0.0003287196,0.0001139457,0.0006679268,0.00004487932,0.00003758189,0.00008216847,0.00001781603,0.002153818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02838309,"threshold_uncertainty_score":0.05643582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.076178990643797,"score_gpt":0.3349828625089641,"score_spread":0.2588038718651671,"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."}}