{"id":"W3201238034","doi":"10.5210/spir.v2021i0.12254","title":"DISCOURSES OF VICTIMHOOD AND IDENTITY POLITICS ON SOCIAL MEDIA: UNDERSTANDING AFFECTIVE POLARIZATION DURING THE US ELECTION","year":2021,"lang":"en","type":"article","venue":"AoIR Selected Papers of Internet Research","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Social media; Politics; Blame; Sociology; Social psychology; Grounded theory; Identity politics; Duty; Identity (music); Media studies; Qualitative research; Psychology; Political science; Social science; Law; Aesthetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004655023,0.00009497468,0.0001434122,0.0002311342,0.0003070257,0.0001365513,0.0002839891,0.0000906785,0.00001415182],"category_scores_gemma":[0.0006729031,0.00007886969,0.00004540576,0.001431384,0.0001779878,0.0002979742,0.0001753688,0.0004105172,0.000001914531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002537448,"about_ca_system_score_gemma":0.000162683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004065851,"about_ca_topic_score_gemma":0.0008939141,"domain_scores_codex":[0.9981333,0.0004457061,0.0001825019,0.0002816686,0.0006458962,0.0003109378],"domain_scores_gemma":[0.9987481,0.0004333941,0.0000858649,0.0001785973,0.0005035537,0.00005053123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000162885,0.0003074642,0.01059002,0.0001974966,0.0003304426,0.00003103743,0.01181966,0.00003320046,0.77859,0.1940278,0.0002411928,0.003668763],"study_design_scores_gemma":[0.0005565878,0.0003664829,0.1504712,0.0001253651,0.00001625093,0.00005154674,0.002573404,0.001442719,0.8397202,0.004485286,0.00003830533,0.000152628],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924737,0.00007127079,0.005404951,0.0004955745,0.0001359675,0.0001349741,0.000003337465,0.00003702815,0.001243218],"genre_scores_gemma":[0.9995404,0.00004446987,0.0001114586,0.00001207982,0.00007395505,0.000005958063,0.000004797647,0.000009163263,0.000197682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1895425,"threshold_uncertainty_score":0.3216212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02917453149379926,"score_gpt":0.3163301661909795,"score_spread":0.2871556346971802,"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."}}