{"id":"W3135366326","doi":"10.1177/1461444821994490","title":"Gangs and social media: A systematic literature review and an identification of future challenges, risks and recommendations","year":2021,"lang":"en","type":"article","venue":"New Media & Society","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; University of Illinois at Urbana-Champaign; Université de Montréal; Hebrew University of Jerusalem; European Commission; Temple University; Wayne State University; Birmingham City University; University of Connecticut; Arizona State University","keywords":"Scopus; Identification (biology); Social media; Systematic review; Diversity (politics); Content analysis; Sociology; Public relations; Psychology; Data science; Social science; Political science; Computer science; MEDLINE; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.05097662,0.001375287,0.003988649,0.04085926,0.002307263,0.006296543,0.0019918,0.002550618,0.002970388],"category_scores_gemma":[0.1313682,0.001268523,0.004938922,0.02734531,0.002692826,0.01147727,0.004646363,0.002168544,0.0003661863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007283966,"about_ca_system_score_gemma":0.05114304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007669108,"about_ca_topic_score_gemma":0.02920501,"domain_scores_codex":[0.9706271,0.01133046,0.01050995,0.001277565,0.005233484,0.001021463],"domain_scores_gemma":[0.8234204,0.1340146,0.0223691,0.001968181,0.01660852,0.001619051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002018312,0.00008023615,0.007944277,0.7442276,0.002469848,0.0007126867,0.005897229,0.0002397436,0.0002606935,0.003921237,0.007339353,0.2267053],"study_design_scores_gemma":[0.00004538811,0.00008938717,0.004438396,0.9438972,0.006286765,0.0006336835,0.009526283,0.0001323899,0.0001261639,0.001926831,0.03285267,0.00004476454],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00427297,0.9870876,0.0005884977,0.005905486,0.0005121286,0.000634357,0.0002489685,0.00001515848,0.0007347821],"genre_scores_gemma":[0.02540085,0.9684727,0.00271841,0.001658605,0.0002722725,0.001027016,0.0002268315,0.000009837054,0.0002133884],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.05097662,"threshold_uncertainty_score":0.2695934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05281356229593827,"score_gpt":0.3095923427003734,"score_spread":0.2567787804044351,"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."}}