{"id":"https://openalex.org/W7163146757","doi":"https://doi.org/10.48550/arxiv.2606.01897","title":"Community-Aware Assessment of Social Textual Engagement and Resonance: A Human-Centric Perspective on User-Generated Content Evaluation","display_name":"Community-Aware Assessment of Social Textual Engagement and Resonance: A Human-Centric Perspective on User-Generated Content Evaluation","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7163146757","doi":"https://doi.org/10.48550/arxiv.2606.01897"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.01897","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01897","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.01897","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137654142","display_name":"Tianjiao Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Tianjiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137678022","display_name":"Kai Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Kai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137698183","display_name":"Xiang Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Xiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137683541","display_name":"Yang Liu","orcid":"https://orcid.org/0009-0000-7025-5293"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5029306322","display_name":"Huyang Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Huyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.23980000615119934,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.23980000615119934,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.14959999918937683,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.06509999930858612,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.635200023651123},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.593500018119812},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5139999985694885},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.46000000834465027},{"id":"https://openalex.org/keywords/persona","display_name":"Persona","score":0.38989999890327454},{"id":"https://openalex.org/keywords/perspective-taking","display_name":"Perspective-taking","score":0.36480000615119934},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.34860000014305115},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.3100999891757965}],"concepts":[{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.635200023651123},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.593500018119812},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5544999837875366},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5139999985694885},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46000000834465027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4165000021457672},{"id":"https://openalex.org/C313442","wikidata":"https://www.wikidata.org/wiki/Q778556","display_name":"Persona","level":2,"score":0.38989999890327454},{"id":"https://openalex.org/C2780342009","wikidata":"https://www.wikidata.org/wiki/Q18387795","display_name":"Perspective-taking","level":3,"score":0.36480000615119934},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.34860000014305115},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.32850000262260437},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2913999855518341},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2896000146865845},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2777999937534332},{"id":"https://openalex.org/C44725695","wikidata":"https://www.wikidata.org/wiki/Q288156","display_name":"Normative","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2718999981880188},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C130064352","wikidata":"https://www.wikidata.org/wiki/Q853725","display_name":"Social relation","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.26249998807907104},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C86658582","wikidata":"https://www.wikidata.org/wiki/Q1432778","display_name":"Social cognition","level":3,"score":0.2590999901294708},{"id":"https://openalex.org/C2984870255","wikidata":"https://www.wikidata.org/wiki/Q5196451","display_name":"User engagement","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C79416737","wikidata":"https://www.wikidata.org/wiki/Q2305519","display_name":"Social learning","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.01897","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01897","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.01897","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01897","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.4825153350830078,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Traditional":[0],"Video":[1],"Quality":[2],"Assessment":[3,41],"(VQA)":[4],"focuses":[5],"narrowly":[6],"on":[7,62,169],"aesthetic":[8],"fidelity,":[9],"overlooking":[10],"the":[11,109],"complex":[12],"social":[13,144],"dynamics":[14],"that":[15,51,163,178],"define":[16],"quality":[17,69,115],"in":[18,141],"User-Generated":[19],"Content":[20],"(UGC).":[21],"In":[22],"this":[23,148],"work,":[24],"we":[25,74,150],"propose":[26],"a":[27,48,54,83,114,121,153],"paradigm":[28],"shift":[29],"from":[30],"signal-centric":[31],"metrics":[32],"to":[33,101,135],"human-centric":[34],"resonance":[35,60],"assessment.":[36],"We":[37],"introduce":[38],"CASTER":[39],"(Community-Aware":[40],"of":[42],"Social":[43,85,132],"Textual":[44],"Engagement":[45],"and":[46,105,127,174],"Resonance),":[47],"new":[49],"task":[50],"evaluates":[52],"whether":[53],"UGC":[55,159],"item":[56],"achieves":[57],"positive":[58],"community":[59,182],"based":[61],"its":[63],"multimodal":[64,95],"attributes":[65],"rather":[66],"than":[67],"visual":[68],"alone.":[70],"To":[71,146],"address":[72],"this,":[73],"present":[75],"MEDEA":[76,117,164],"(Multimodal":[77],"Engagement-Driven":[78],"Evaluation":[79],"Architecture),":[80],"which":[81],"introduces":[82],"novel":[84],"Chain-of-Thought":[86],"(Social-CoT)":[87],"mechanism.":[88],"Unlike":[89],"traditional":[90],"logical":[91],"CoT,":[92],"Social-CoT":[93],"performs":[94],"perspective-taking,":[96],"instantiating":[97],"diverse":[98,158],"viewer":[99],"personas":[100],"simulate":[102],"collective":[103],"cognitive":[104],"emotional":[106],"reactions":[107],"(i.e.,":[108],"\"community":[110],"mind\")":[111],"before":[112],"deriving":[113],"judgment.":[116],"is":[118],"trained":[119],"via":[120],"two-stage":[122],"approach":[123],"involving":[124],"supervised":[125],"fine-tuning":[126],"process-supervised":[128],"reinforcement":[129],"learning":[130],"with":[131,180],"Alignment":[133],"Reward":[134],"ensure":[136],"reasoning":[137,176],"paths":[138,177],"are":[139],"grounded":[140],"authentic":[142],"human":[143],"cognition.":[145],"support":[147],"task,":[149],"release":[151],"CASTER-Bench,":[152],"comprehensive":[154],"human-annotated":[155],"benchmark":[156],"covering":[157],"categories.":[160],"Experiments":[161],"demonstrate":[162],"significantly":[165],"outperforms":[166],"state-of-the-art":[167],"baselines":[168],"CASTER-Bench":[170],"while":[171],"providing":[172],"interpretable":[173],"empathetic":[175],"align":[179],"real":[181],"feedback.":[183]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-03T00:00:00"}