{"id":"W3086839491","doi":"10.1145/3396956.3401801","title":"Bot detection in twitter landscape using unsupervised learning","year":2020,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Limelight; Computer science; Cluster analysis; Principal component analysis; Social media; Set (abstract data type); Sentiment analysis; Big data; Data set; Data science; Fake news; Component (thermodynamics); Artificial intelligence; Data mining; World Wide Web; Internet privacy; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007414878,0.0004613496,0.0005091172,0.002888279,0.00083924,0.000831184,0.0007563852,0.0006706966,0.001071932],"category_scores_gemma":[0.002767964,0.0002320884,0.0005626566,0.001455276,0.0006693951,0.001099101,0.0007230038,0.0005698177,0.001013217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000547964,"about_ca_system_score_gemma":0.0005879348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005720236,"about_ca_topic_score_gemma":0.008776002,"domain_scores_codex":[0.9993698,0.0001436112,0.00003122345,0.0002131559,0.0001199147,0.0001222818],"domain_scores_gemma":[0.9985977,0.0005685197,0.0002637571,0.0001805263,0.0003069119,0.00008255965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000733569,0.001030012,0.2125034,0.0004170097,0.0003643959,0.0009090323,0.001245463,0.1441584,0.03840561,0.006105344,0.01946845,0.5746593],"study_design_scores_gemma":[0.000009781191,0.00004662959,0.02394816,0.00001620363,0.00001610781,0.0001163783,0.0002246653,0.9663547,0.003917743,0.003744384,0.00158753,0.0000176847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6439489,0.0004940805,0.3414471,0.0007267106,0.00008700453,0.0002875807,0.002017483,0.004520512,0.006470782],"genre_scores_gemma":[0.9386135,0.0001034528,0.05582705,0.00008571041,0.0000592932,0.0001086489,0.002061235,0.0001156681,0.003025493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005720236,"threshold_uncertainty_score":0.01137388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04186545355463848,"score_gpt":0.2389900483098186,"score_spread":0.1971245947551802,"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."}}