{"id":"W4405075149","doi":"10.1257/jel.20241743","title":"The Economics of Social Media","year":2024,"lang":"en","type":"article","venue":"Journal of Economic Literature","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Social media; Misinformation; Consumption (sociology); Media consumption; Incentive; Economics; Production (economics); Politics; Distribution (mathematics); Viewpoints; Affect (linguistics); Advertising; Public economics; Microeconomics; Political science; Business; Sociology; Social 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009952523,0.00005824367,0.0001526503,0.00007081454,0.0001581997,0.000292533,0.0002835073,0.0001082247,0.0001044033],"category_scores_gemma":[0.0001685403,0.00003909873,0.0001641196,0.00005911789,0.0002003402,0.0003644719,0.00001293162,0.0002584223,0.00002304152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001228317,"about_ca_system_score_gemma":0.0006456667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007529474,"about_ca_topic_score_gemma":0.0001227216,"domain_scores_codex":[0.9992484,0.00006729873,0.0004006703,0.00005466877,0.00006807571,0.0001609125],"domain_scores_gemma":[0.9988572,0.0007225915,0.0002062858,0.00006300826,0.00007249224,0.00007840544],"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":[0.00001370301,0.000004861576,0.0001538941,0.00001831232,0.00006261918,0.000009174577,0.07166445,0.00001139496,0.00001363638,0.8963209,0.02675788,0.004969129],"study_design_scores_gemma":[0.00008728644,0.00001973969,0.000191941,0.00006593821,0.00002015061,0.00001203106,0.002970019,0.00002339865,0.00006693637,0.04885109,0.947636,0.000055443],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9327372,0.009375692,0.000003016919,0.01290652,0.01021058,0.0000702487,0.0000692797,0.00001065031,0.03461685],"genre_scores_gemma":[0.9896363,0.002642368,0.0000655294,0.0001851401,0.006400095,7.637406e-7,0.00000157157,0.000008014799,0.001060201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9208782,"threshold_uncertainty_score":0.2820903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01666949015841999,"score_gpt":0.3072890861636166,"score_spread":0.2906195960051965,"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."}}