{"id":"W4394966725","doi":"10.2139/ssrn.4800565","title":"Collaboratively adding context to social media posts reduces the sharing of false news.","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Social media; Context (archaeology); Computer science; Information Dissemination; Advertising; Internet privacy; Psychology; World Wide Web; Business; History","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002709598,0.00008598936,0.0001308856,0.0001295108,0.0007029038,0.0003551492,0.0003596822,0.00005791377,0.0001306202],"category_scores_gemma":[0.0007851727,0.00006008139,0.00007409147,0.0007043052,0.000104518,0.0005203678,0.00003368261,0.0006714324,0.00005144335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006395368,"about_ca_system_score_gemma":0.004155538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002269333,"about_ca_topic_score_gemma":0.008622874,"domain_scores_codex":[0.9980106,0.0001145149,0.0002800261,0.00009404239,0.0004707759,0.00103002],"domain_scores_gemma":[0.9993635,0.0001775055,0.0001156368,0.00005155198,0.0001816079,0.0001102454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002420409,0.000007596119,0.00001596779,0.000003156147,0.0000634674,8.326971e-7,0.2159407,0.000004186727,0.0006065338,0.6667768,0.003924921,0.1126317],"study_design_scores_gemma":[0.0003260945,0.0001432634,0.0005250216,0.0001309618,0.00003986916,0.00002960117,0.8307481,0.00004564443,0.0008919588,0.07162221,0.09527157,0.0002257241],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9546143,0.002969306,0.0002692,0.02019001,0.000761222,0.0002125303,0.00001783587,0.00005461893,0.020911],"genre_scores_gemma":[0.996797,0.001059718,0.00001499627,0.0002770051,0.000690638,0.000001143494,0.000001187049,0.00000885992,0.001149513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6148074,"threshold_uncertainty_score":0.7371746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02913849164378652,"score_gpt":0.3335615161158003,"score_spread":0.3044230244720138,"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."}}