{"id":"W4388814050","doi":"10.54254/2753-7048/21/20230105","title":"Prevailing ‘Negative Communities’ Online: Algorithmic Influence and User Self-awareness","year":2023,"lang":"en","type":"article","venue":"Lecture Notes in Education Psychology and Public Media","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Social media; Sentiment analysis; Computer science; Online community; Dissemination; Negative emotion; Negative information; Internet privacy; Psychology; World Wide Web; Social psychology; Artificial intelligence; Telecommunications","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":[0.003415165,0.0002643283,0.0004090803,0.001931539,0.001123857,0.00333023,0.0004217733,0.0005872205,0.002320315],"category_scores_gemma":[0.02776479,0.0002381122,0.0002970392,0.001069815,0.001347783,0.002976719,0.001600815,0.0006384206,0.0003739136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005466903,"about_ca_system_score_gemma":0.0003760103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001944149,"about_ca_topic_score_gemma":0.002346263,"domain_scores_codex":[0.9967695,0.001637912,0.0001636632,0.0005186784,0.0007290803,0.000181196],"domain_scores_gemma":[0.9702076,0.01996821,0.004320653,0.002098533,0.002391265,0.001013815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005473067,0.0003162092,0.8374988,0.0002694044,0.0002698163,0.0003644523,0.03247867,0.001681425,0.0065521,0.01013157,0.001514032,0.1083761],"study_design_scores_gemma":[0.00006091424,0.0006373462,0.8676557,0.0001317665,0.000280585,0.001234562,0.03593494,0.04952515,0.005015938,0.02422747,0.01514086,0.0001547117],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834198,0.000224508,0.005244872,0.0004046477,0.00001735531,0.00006099306,0.0001015262,0.00006676358,0.01045967],"genre_scores_gemma":[0.9986815,0.00003901333,0.0007973576,0.00002926392,0.00001938617,0.0000109333,0.00004687837,0.000008337529,0.0003673586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003415165,"threshold_uncertainty_score":0.01806134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03808923922785717,"score_gpt":0.3918645792874175,"score_spread":0.3537753400595603,"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."}}