{"id":"W4307885811","doi":"10.1177/20563051221130282","title":"Comments, Shares, or Likes: What Makes News Posts Engaging in Different Ways","year":2022,"lang":"en","type":"article","venue":"Social Media + Society","topic":"Social Media and Politics","field":"Social Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Content (measure theory); User engagement; Value (mathematics); Content analysis; Media content; Digital content; Psychology; Internet privacy; Sociology; Public relations; Computer science; World Wide Web; Political science; Multimedia; Mathematics","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":[0.002155821,0.0002468304,0.0002728863,0.002148843,0.0009407475,0.003540548,0.0002602063,0.0005720169,0.002483923],"category_scores_gemma":[0.01759197,0.0001898287,0.0002795263,0.001373541,0.001577382,0.004084765,0.001288226,0.0005699054,0.0005320799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005595618,"about_ca_system_score_gemma":0.0003669597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001197973,"about_ca_topic_score_gemma":0.002189773,"domain_scores_codex":[0.9972633,0.001393714,0.0001592795,0.0003335236,0.0005700669,0.0002800881],"domain_scores_gemma":[0.9822139,0.01105533,0.003718805,0.0007529683,0.00152287,0.0007362449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001117983,0.0002487501,0.5980408,0.00109108,0.0003160018,0.000678915,0.2099749,0.0003625524,0.03019143,0.00887522,0.003304276,0.1457981],"study_design_scores_gemma":[0.00002022265,0.000255737,0.8222679,0.0002960182,0.0001233731,0.0005847128,0.1452664,0.001496777,0.006439876,0.004406102,0.0187527,0.00009021272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783863,0.0002052614,0.002751866,0.0005262083,0.00004385335,0.0000801229,0.0004072279,0.00006143218,0.01753774],"genre_scores_gemma":[0.9972613,0.0001187405,0.001205006,0.00007850408,0.00004493842,0.00004381286,0.0001610948,0.00003565018,0.001050969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003540548,"threshold_uncertainty_score":0.01140124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08559693134597399,"score_gpt":0.3317577135385698,"score_spread":0.2461607821925958,"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."}}