{"id":"W2786452096","doi":"10.1287/mnsc.2017.2896","title":"Competitive vs. Complementary Effects in Online Social Networks and News Consumption: A Natural Experiment","year":2018,"lang":"en","type":"article","venue":"Management Science","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Audience measurement; Advertising; Consumption (sociology); Social media; Generalizability theory; Natural experiment; Business; Computer science; Internet privacy; Psychology; World Wide Web; Sociology","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":[0.006585912,0.0005377047,0.0007769665,0.0004287693,0.001316722,0.001610651,0.001238052,0.002313278,0.007117916],"category_scores_gemma":[0.01459503,0.0006829147,0.000899123,0.0004195469,0.002264695,0.00170661,0.001155917,0.002818801,0.001009359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008467081,"about_ca_system_score_gemma":0.0007449821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00395836,"about_ca_topic_score_gemma":0.004919529,"domain_scores_codex":[0.9968701,0.00173873,0.0001548975,0.0005307789,0.0002719492,0.0004336454],"domain_scores_gemma":[0.9594547,0.03013122,0.004327464,0.003159341,0.0008532808,0.002074077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1092037,0.2436496,0.4515276,0.002096852,0.001659837,0.003184343,0.01607884,0.02481941,0.05136218,0.01702925,0.02419681,0.05519154],"study_design_scores_gemma":[0.01603736,0.119961,0.7163986,0.0001926632,0.001149898,0.0006728969,0.00870802,0.08666462,0.01120401,0.02025713,0.0181959,0.0005578889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958177,0.00003347744,0.0008997123,0.0001887991,0.00003838369,0.000735336,0.0008328031,0.00003650998,0.00141738],"genre_scores_gemma":[0.9886475,0.00005017106,0.003027908,0.0004440912,0.00009842813,0.00427004,0.001017119,0.00002023633,0.002424555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007117916,"threshold_uncertainty_score":0.03483003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874593529181433,"score_gpt":0.3278727771974015,"score_spread":0.3091268419055872,"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."}}