{"id":"W2795069772","doi":"10.1609/aimag.v39i1.2783","title":"Research Challenges of Digital Misinformation: Toward a Trustworthy Web","year":2018,"lang":"en","type":"article","venue":"AI Magazine","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misinformation; Trustworthiness; Social media; Internet privacy; Fake news; Journalism; Computer science; World Wide Web; Public relations; Political science; Computer security; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03292971,0.0005531373,0.0007934569,0.006160587,0.007107814,0.02685128,0.001625997,0.00907607,0.005795022],"category_scores_gemma":[0.07474393,0.0007847807,0.0005301423,0.004551026,0.02729911,0.05381008,0.008798716,0.008957803,0.002421936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003950306,"about_ca_system_score_gemma":0.006843613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002054623,"about_ca_topic_score_gemma":0.001399209,"domain_scores_codex":[0.9728978,0.01850867,0.0007593156,0.001186279,0.005890302,0.000757636],"domain_scores_gemma":[0.8200724,0.1366399,0.009759337,0.01280915,0.01579531,0.00492397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009114566,0.0001682348,0.007961911,0.0008401182,0.00007586915,0.0007524805,0.0478152,0.001293942,0.000834197,0.7970577,0.02086719,0.122242],"study_design_scores_gemma":[0.00003050189,0.00008124675,0.002604588,0.001319378,0.00004463262,0.0004725154,0.05184616,0.003609717,0.001152655,0.8206067,0.1181726,0.0000592783],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1012742,0.02451973,0.04773235,0.6392546,0.001135497,0.0001787824,0.0001957684,0.0002623429,0.1854467],"genre_scores_gemma":[0.9425795,0.01762969,0.0183837,0.01379292,0.001492699,0.000176141,0.00006736562,0.0001418925,0.005736131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03292971,"threshold_uncertainty_score":0.1741511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1158190557639245,"score_gpt":0.4057515618360972,"score_spread":0.2899325060721727,"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."}}