{"id":"W4241886362","doi":"10.25300/misq/2020/14870","title":"Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach","year":2020,"lang":"en","type":"article","venue":"MIS Quarterly","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":212,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Social media; Visual analytics; Data science; Cultural analytics; Computer science; Social media analytics; Data analysis; Analytics; Social network analysis; Big data; World Wide Web; Human–computer interaction; Visualization; Artificial intelligence; Semantic analytics; The Internet; 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":[0.001804163,0.00117802,0.000504492,0.00302204,0.0003838862,0.002513381,0.001140099,0.001013005,0.001875376],"category_scores_gemma":[0.009379772,0.0004309653,0.0008156298,0.001600566,0.001005486,0.003353479,0.001980775,0.002005084,0.0006925176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029915,"about_ca_system_score_gemma":0.0007782287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003389229,"about_ca_topic_score_gemma":0.005144658,"domain_scores_codex":[0.9991626,0.0003591649,0.00004388006,0.0001602188,0.0002066314,0.00006762205],"domain_scores_gemma":[0.9951789,0.003206858,0.0004086362,0.0004827422,0.0005632036,0.0001597507],"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":[0.000274631,0.001000541,0.01455711,0.0005717877,0.0002752025,0.0002879901,0.0009480338,0.2636251,0.01934547,0.04332609,0.008812594,0.6469755],"study_design_scores_gemma":[0.000007744618,0.00003884141,0.0007908341,0.00004090882,0.00001419318,0.00002461244,0.0001136451,0.9599894,0.003321298,0.03355233,0.002090844,0.00001538016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02461951,0.0003537567,0.9686133,0.001537074,0.00005976405,0.0001235171,0.0005766315,0.001364969,0.002751514],"genre_scores_gemma":[0.4797721,0.0006000961,0.5153933,0.0004295853,0.0001560206,0.000213002,0.001047804,0.0001478039,0.002240204],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003389229,"threshold_uncertainty_score":0.009541392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04078702259082466,"score_gpt":0.2955884366327843,"score_spread":0.2548014140419597,"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."}}