{"id":"https://openalex.org/W7164399800","doi":"https://doi.org/10.48550/arxiv.2606.11692","title":"Evaluation of Alternative-Based Information Systems for Deliberative Polling using an Agentic Simulator","display_name":"Evaluation of Alternative-Based Information Systems for Deliberative Polling using an Agentic Simulator","publication_year":2026,"publication_date":"2026-06-10","ids":{"openalex":"https://openalex.org/W7164399800","doi":"https://doi.org/10.48550/arxiv.2606.11692"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.11692","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.11692","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.2606.11692","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117555400","display_name":"Rwaida Alssadi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alssadi, Rwaida","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138459922","display_name":"Khulud Alawaji","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alawaji, Khulud","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138413689","display_name":"Balaji Kasula","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kasula, Balaji","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135428587","display_name":"Muntaser Syed","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Syed, Muntaser","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138402067","display_name":"Badria Alfurhood","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alfurhood, Badria","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039093142","display_name":"Markus Zanker","orcid":"https://orcid.org/0000-0002-4805-5516"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zanker, Markus","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5033823653","display_name":"Marius Silaghi","orcid":"https://orcid.org/0000-0002-1109-8424"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Silaghi, Marius","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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.3862999975681305,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.3862999975681305,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.17560000717639923,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.08799999952316284,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/polling","display_name":"Polling","score":0.7476000189781189},{"id":"https://openalex.org/keywords/argumentation-theory","display_name":"Argumentation theory","score":0.5415999889373779},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.49720001220703125},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4848000109195709},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4731999933719635},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4643000066280365},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4251999855041504},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.39899998903274536},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3621000051498413}],"concepts":[{"id":"https://openalex.org/C204854418","wikidata":"https://www.wikidata.org/wiki/Q1362921","display_name":"Polling","level":2,"score":0.7476000189781189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6582000255584717},{"id":"https://openalex.org/C65059942","wikidata":"https://www.wikidata.org/wiki/Q270105","display_name":"Argumentation theory","level":2,"score":0.5415999889373779},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.49720001220703125},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4848000109195709},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4731999933719635},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4643000066280365},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4251999855041504},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.39899998903274536},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3621000051498413},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.3603000044822693},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.34869998693466187},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3481000065803528},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.3422999978065491},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3188000023365021},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.31859999895095825},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.3100000023841858},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.29170000553131104},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2581000030040741},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.11692","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.11692","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.2606.11692","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.11692","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":0.823244571685791,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Deliberative":[0],"polling":[1],"promises":[2],"to":[3,10,100,152,158],"improve":[4],"collective":[5],"decision-making":[6],"by":[7,126,136],"exposing":[8],"shareholders":[9],"a":[11,25,52,66,70,73,96,156,211,221],"broad":[12],"range":[13],"of":[14,28,54,75,141],"arguments":[15],"before":[16],"they":[17],"vote.":[18],"Yet":[19],"ensuring":[20],"that":[21,122],"every":[22],"voter":[23],"encounters":[24],"representative":[26],"sample":[27],"the":[29,32,58,133,139,142,148,159,197,204,225],"reason":[30],"space,":[31],"coverage":[33,182],"problem,":[34],"remains":[35],"an":[36,187],"open":[37],"challenge,":[38],"particularly":[39],"at":[40],"scale":[41],"and":[42,77,81,84,86,113,177,183,195],"in":[43,65,103,147],"adversarial":[44],"or":[45,110],"strategically":[46],"motivated":[47],"electorates.":[48],"This":[49],"paper":[50],"introduces":[51],"way":[53],"evaluating":[55],"solutions":[56],"using":[57],"LLM-based":[59],"Agentic":[60],"Bipolar":[61],"Argumentation":[62],"Simulator,":[63],"grounded":[64],"framework":[67],"which":[68],"formalises":[69],"poll":[71],"as":[72,155],"six-tuple":[74],"endorsing":[76],"opposing":[78],"justifications,":[79,112],"attack":[80,213],"enhance":[82],"relations,":[83],"shareholder-":[85],"relation-weights.":[87],"ABAS":[88],"simulates":[89],"N":[90],"autonomous":[91],"shareholder":[92],"agents,":[93],"each":[94,153],"assigned":[95],"latent":[97],"opinion":[98],"according":[99],"desired":[101],"distributions":[102],"[-1,":[104],"1],":[105],"who":[106],"sequentially":[107],"vote,":[108],"choose":[109],"author":[111],"optionally":[114],"submit":[115],"argumentation-graph":[116],"links.":[117],"The":[118],"simulator":[119],"implements":[120],"recommendations":[121,150],"rank":[123],"existing":[124],"justifications":[125],"their":[127],"observable":[128],"endorsement":[129],"mass.":[130],"It":[131],"evaluates":[132],"mechanism's":[134],"success":[135],"coverage,":[137,215],"namely":[138],"fraction":[140],"corpus":[143,184],"reason-tag":[144],"set":[145],"represented":[146],"K":[149],"presented":[151],"shareholder,":[154],"solution":[157],"NP-hard":[160],"Subsuming":[161],"Justification":[162],"Problem.":[163],"Reported":[164],"experiments":[165],"characterise":[166],"how":[167],"creativity":[168],"rate":[169],"(pown),":[170],"recommendation":[171],"size":[172,179],"(K),":[173],"argumentation":[174],"density":[175],"(plinks),":[176],"population":[178],"(N)":[180],"affect":[181],"diversity.":[185],"In":[186],"authenticated":[188],"electorate":[189],"where":[190],"Sybil":[191],"attacks":[192],"are":[193],"impossible":[194],"only":[196],"relation":[198,218],"graph":[199],"is":[200],"gameable,":[201],"we":[202],"stress-test":[203],"scoring":[205],"with":[206],"coordinated":[207],"strategic":[208],"voting":[209],"attacks:":[210],"tag-flood":[212],"collapses":[214],"while":[216],"author-count":[217],"weighting":[219],"through":[220],"reversed-PageRank":[222],"rule":[223],"resists":[224],"flood":[226],"markedly":[227],"better":[228],"than":[229],"uniform":[230],"weights.":[231]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-12T00:00:00"}
