{"id":"W4388297639","doi":"10.1016/j.chb.2023.108017","title":"Revealing complexities when adult readers engage in the credibility evaluation of social media posts","year":2023,"lang":"en","type":"article","venue":"Computers in Human Behavior","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Credibility; Misinformation; Source credibility; Social media; Quality (philosophy); Psychology; Crowdsourcing; Consistency (knowledge bases); The Internet; Internet privacy; Social psychology; Applied psychology; Computer science; World Wide Web; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.005916575,0.00007812658,0.0001491335,0.0002213348,0.0003746065,0.00006524526,0.0003504442,0.00007784618,0.0001379591],"category_scores_gemma":[0.0006152018,0.00007070351,0.00004826699,0.0003998846,0.000309792,0.0002436671,0.00004197075,0.0001935523,0.000007707621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000177481,"about_ca_system_score_gemma":0.000112741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007457816,"about_ca_topic_score_gemma":0.003881375,"domain_scores_codex":[0.9973962,0.0009737878,0.0003916133,0.0001233024,0.0008798755,0.0002352466],"domain_scores_gemma":[0.999139,0.0003675596,0.0001297501,0.0001495551,0.0001790965,0.00003502953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000004943201,0.00005815392,0.002795612,0.00001576364,0.000001725067,0.000001762124,0.9721409,0.00004409749,0.00004293072,0.0117751,0.003495433,0.009623586],"study_design_scores_gemma":[0.0006834267,0.00001849656,0.7707738,0.00005793096,0.00001923263,3.060143e-7,0.2221805,0.001132713,0.0000237466,0.004911035,0.000085688,0.0001131608],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949064,0.00000633489,0.00001540023,0.0006382766,0.000304027,0.0004865868,0.00001149688,0.00004728857,0.003584162],"genre_scores_gemma":[0.9994681,0.000002854793,0.0001657718,0.0001484525,0.0001217623,0.00001515721,0.00005757216,0.000004712842,0.00001557956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7679782,"threshold_uncertainty_score":0.2883205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.27335913696449,"score_gpt":0.4295603092141529,"score_spread":0.1562011722496629,"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."}}