{"id":"W2183784621","doi":"10.1609/icwsm.v5i1.14140","title":"Dimensions of Self-Expression in Facebook Status Updates","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International AAAI Conference on Web and Social Media","topic":"Digital Communication and Language","field":"Computer Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Institute for the Behavioral and Social Sciences","keywords":"Slang; Expression (computer science); Demographics; Psychology; Meaning (existential); Sample (material); Dimension (graph theory); Social psychology; Linguistics; Computer science; Sociology; Demography; Mathematics","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":[0.001612799,0.0002501803,0.0002179038,0.001916733,0.0006952725,0.00173814,0.0002033888,0.0003980916,0.001261282],"category_scores_gemma":[0.01101692,0.0001456848,0.0002174124,0.00121492,0.001110505,0.001864555,0.001587708,0.0004083966,0.0002164256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003845367,"about_ca_system_score_gemma":0.0001666054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006243346,"about_ca_topic_score_gemma":0.00125504,"domain_scores_codex":[0.9983197,0.0008880444,0.0001625153,0.0001403527,0.0003991873,0.00009017362],"domain_scores_gemma":[0.9899722,0.00619015,0.002179798,0.0005122209,0.0009015573,0.0002440736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004754011,0.0001025743,0.491071,0.0008512984,0.0001219687,0.0006869103,0.3681211,0.0005850291,0.02836946,0.005291655,0.002368063,0.1019557],"study_design_scores_gemma":[0.0000115593,0.0001465388,0.8292808,0.0002045178,0.00004973764,0.0007616815,0.142085,0.003386344,0.00412133,0.002837254,0.01701916,0.00009606311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99405,0.0001327452,0.001910567,0.0001045256,0.00001594988,0.000043387,0.0002861751,0.00003135861,0.003425184],"genre_scores_gemma":[0.9968038,0.0001004652,0.002227996,0.00003548079,0.00001660804,0.00007301789,0.0002255052,0.00001259791,0.0005045457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001916733,"threshold_uncertainty_score":0.008529365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02399111786442445,"score_gpt":0.2580508427421333,"score_spread":0.2340597248777088,"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."}}