{"id":"W3012209663","doi":"10.1145/3378422","title":"Detecting fake news in social media","year":2020,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Citation; Social media; Perspective (graphical); Library science; Advertising; Media studies; History; Computer science; World Wide Web; Political science; Sociology; Business; Artificial intelligence","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":[0.009007914,0.0007124141,0.0008381192,0.01066922,0.001703107,0.009929118,0.0008559316,0.002786714,0.009397867],"category_scores_gemma":[0.05460259,0.0004977301,0.0004481926,0.005238148,0.001732291,0.01058912,0.002550369,0.001350372,0.006670069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001065412,"about_ca_system_score_gemma":0.001085743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002496227,"about_ca_topic_score_gemma":0.002950848,"domain_scores_codex":[0.991814,0.003230181,0.0004346791,0.0005474468,0.003414915,0.0005587928],"domain_scores_gemma":[0.9222291,0.04946201,0.007984227,0.006680818,0.01236815,0.001275686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006745256,0.0005165841,0.1042153,0.00180111,0.0003185516,0.0009442487,0.004931472,0.002087977,0.0110155,0.01326419,0.1255291,0.7347015],"study_design_scores_gemma":[0.0001553209,0.0017981,0.2336693,0.005550852,0.001230069,0.007470075,0.03637072,0.09023818,0.07490125,0.04745243,0.5006956,0.0004680907],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4616988,0.06409249,0.06842403,0.1006235,0.004943776,0.0008199343,0.007091851,0.003622149,0.2886835],"genre_scores_gemma":[0.9146646,0.02194621,0.0201004,0.004367727,0.0040577,0.000122767,0.002349976,0.0003655986,0.03202499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01066922,"threshold_uncertainty_score":0.04763895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2110286405164313,"score_gpt":0.387276143825238,"score_spread":0.1762475033088067,"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."}}