{"id":"W4416366455","doi":"10.1109/tvcg.2025.3634830","title":"Deconstructing Implicit Beliefs in Visual Data Journalism: Unstable Meanings Behind Data as Truth &amp; Design for Insight","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Deconstruction (building); Storytelling; Sociotechnical system; Data visualization; Visual research; Meaning (existential); Visualization; Cognitive reframing; Sensemaking; Strict constructionism","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.06604013,0.0008787505,0.0006447555,0.002693871,0.006763589,0.01047952,0.002677744,0.00201542,0.00600081],"category_scores_gemma":[0.09663155,0.0008727724,0.0005270821,0.002063299,0.02928968,0.009372806,0.006949989,0.004720242,0.001052933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007449747,"about_ca_system_score_gemma":0.005098556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001340107,"about_ca_topic_score_gemma":0.002019829,"domain_scores_codex":[0.9365993,0.05499955,0.001222834,0.002339598,0.003292788,0.001545935],"domain_scores_gemma":[0.8154471,0.1603924,0.005171103,0.01016293,0.006989747,0.001836731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001441939,0.00008299894,0.002061889,0.0003890611,0.000008390251,0.0003109558,0.9270505,0.0002050011,0.003170206,0.05167704,0.001404648,0.01349515],"study_design_scores_gemma":[0.0001484806,0.0002585149,0.0023625,0.0009394635,0.00003620095,0.0005423861,0.8030996,0.00260818,0.009357776,0.08589938,0.09467831,0.00006918859],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6306086,0.0005773313,0.2986019,0.01822756,0.0003579725,0.004884946,0.000809713,0.0004105745,0.04552137],"genre_scores_gemma":[0.8953964,0.0002552727,0.08697913,0.0022571,0.00004838202,0.008957682,0.000195733,0.0003411169,0.005569226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9932364,"threshold_uncertainty_score":0.3492578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0701763343402511,"score_gpt":0.3575251183793133,"score_spread":0.2873487840390622,"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."}}