{"id":"W3200664254","doi":"10.5210/spir.v2021i0.12179","title":"FAKE POPULARITY FOR REAL MONEY: COMMERCIAL ASTROTURFING AND DATA BUBBLE ON CHINESE DIGITAL PLATFORM","year":2021,"lang":"en","type":"article","venue":"AoIR Selected Papers of Internet Research","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Popularity; Big data; Economic bubble; Bubble; Business; Computer science; Data science; Finance; Data mining","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":[0.0006028189,0.0002439496,0.0003568556,0.0003170139,0.0001796005,0.0008820437,0.0008388597,0.0001391619,0.00005795621],"category_scores_gemma":[0.00307022,0.0002257137,0.00006594355,0.001190982,0.0001956863,0.001656196,0.001413458,0.0005438135,0.00003166348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007404805,"about_ca_system_score_gemma":0.00009798166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00158427,"about_ca_topic_score_gemma":0.002025585,"domain_scores_codex":[0.9976541,0.00001522692,0.0003826612,0.0007035984,0.0005900957,0.0006542943],"domain_scores_gemma":[0.9980822,0.0003284198,0.0001437105,0.0006064671,0.0008025721,0.00003661992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003443692,0.00149131,0.6529365,0.002065066,0.0005509714,0.0001969146,0.0004688196,0.0000199574,0.02544494,0.09788056,0.08840332,0.1270979],"study_design_scores_gemma":[0.008575628,0.001442584,0.7049767,0.002471821,0.0001194135,0.00008582333,0.001773499,0.03104014,0.01209462,0.01645533,0.2183832,0.002581222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9511858,0.00008733587,0.00008759167,0.0004934979,0.0001231235,0.0004313262,0.0001387744,0.0000843349,0.04736822],"genre_scores_gemma":[0.996085,0.00001985545,0.0002641681,0.0001296249,0.0003393599,0.00002730543,0.001354914,0.00004963624,0.001730134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1299798,"threshold_uncertainty_score":0.9204339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07785616823912184,"score_gpt":0.3475182045447245,"score_spread":0.2696620363056026,"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."}}