{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007674457,0.0002845194,0.0004890096,0.00006710536,0.003165805,0.0002672979,0.0006704826,0.0002600236,0.001663702],"category_scores_gemma":[0.0008399672,0.0002777943,0.0003942684,0.0007393195,0.000521815,0.0004020072,0.0003267941,0.001048376,0.00002234382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538828,"about_ca_system_score_gemma":0.0006128926,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001874659,"about_ca_topic_score_gemma":0.02257433,"domain_scores_codex":[0.995777,0.0009534734,0.0004383368,0.0004076333,0.001306874,0.001116703],"domain_scores_gemma":[0.9971858,0.002075594,0.0001816108,0.0001773847,0.0000752635,0.0003042962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002601797,0.0002088409,0.006653238,0.00002378667,0.00004752492,0.00001616014,0.924886,6.581596e-7,0.0000399783,0.006300766,0.0470263,0.01477071],"study_design_scores_gemma":[0.000771314,0.0000331172,0.001129487,0.0000308102,0.00003051818,4.901681e-7,0.8100002,0.00000963738,0.00002573283,0.004660446,0.1829971,0.0003110425],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9529129,0.001758269,0.00001171658,0.03202302,0.009488481,0.000918164,0.0002122277,0.000303605,0.002371624],"genre_scores_gemma":[0.9853476,0.002603495,0.000103761,0.006547466,0.004529829,0.0003574995,0.0001430876,0.00005574528,0.0003114888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1359708,"threshold_uncertainty_score":0.9999674,"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."}}