{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001303399,0.0002878538,0.0003279386,0.001973885,0.002974533,0.004533292,0.0006868054,0.0009065956,0.009316704],"category_scores_gemma":[0.008679792,0.0002888862,0.0003206976,0.002632026,0.003633455,0.005474875,0.002587791,0.001681667,0.0005185427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004044553,"about_ca_system_score_gemma":0.002297053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02731946,"about_ca_topic_score_gemma":0.02830042,"domain_scores_codex":[0.9986997,0.0002228635,0.00007152305,0.0002284161,0.0005004188,0.0002770831],"domain_scores_gemma":[0.9913799,0.002979888,0.003244351,0.0004652529,0.001106975,0.0008237341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002306653,0.0001525812,0.8092731,0.0002712953,0.00008041046,0.003042383,0.09413452,0.0002921636,0.001173257,0.04839465,0.00698632,0.03596859],"study_design_scores_gemma":[0.00001677553,0.00009367906,0.8600494,0.0001945872,0.00009602067,0.0008106185,0.1032139,0.003751035,0.0009903644,0.01026378,0.02038638,0.0001334855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738588,0.0004221785,0.0006734097,0.002729846,0.00003922852,0.00003249415,0.0002332043,0.00002145421,0.02198939],"genre_scores_gemma":[0.9981267,0.0001486519,0.00009840831,0.0001434942,0.00001845419,0.00001280218,0.00008131025,0.000007210675,0.0013631],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02731946,"threshold_uncertainty_score":0.05432087,"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."}}