{"id":"https://openalex.org/W4416035811","doi":"https://doi.org/10.18653/v1/2025.emnlp-main.1176","title":"SPARK: Simulating the Co-evolution of Stance and Topic Dynamics in Online Discourse with LLM-based Agents","display_name":"SPARK: Simulating the Co-evolution of Stance and Topic Dynamics in Online Discourse with LLM-based Agents","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416035811","doi":"https://doi.org/10.18653/v1/2025.emnlp-main.1176"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.emnlp-main.1176","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.1176","pdf_url":"https://aclanthology.org/2025.emnlp-main.1176.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.emnlp-main.1176.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100385138","display_name":"Bowen Zhang","orcid":"https://orcid.org/0000-0002-3581-9476"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Zhang","raw_affiliation_strings":["College of Big Data and Internet , Shenzhen Technology University , Shenzhen , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Internet , Shenzhen Technology University , Shenzhen , China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100828161","display_name":"Yi Yang","orcid":"https://orcid.org/0009-0001-8282-7751"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Yang","raw_affiliation_strings":["College of Applied Science , Shenzhen University , Shenzhen , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Applied Science , Shenzhen University , Shenzhen , China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063173209","display_name":"Fuqiang Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuqiang Niu","raw_affiliation_strings":["School of Cyber Science and Technology , University of Science and Technology of China , Hefei , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology , University of Science and Technology of China , Hefei , China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037794437","display_name":"Xianghua Fu","orcid":"https://orcid.org/0000-0003-4431-3386"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghua Fu","raw_affiliation_strings":["College of Big Data and Internet , Shenzhen Technology University , Shenzhen , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Internet , Shenzhen Technology University , Shenzhen , China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018994926","display_name":"Genan Dai","orcid":"https://orcid.org/0000-0003-2583-0433"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Genan Dai","raw_affiliation_strings":["College of Big Data and Internet , Shenzhen Technology University , Shenzhen , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Big Data and Internet , Shenzhen Technology University , Shenzhen , China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075800064","display_name":"Hu Huang","orcid":"https://orcid.org/0009-0005-9674-258X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Huang","raw_affiliation_strings":["School of Cyber Science and Technology , University of Science and Technology of China , Hefei , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology , University of Science and Technology of China , Hefei , China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4143,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84740167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"23072","last_page":"23084"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.1800999939441681,"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":0.1800999939441681,"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/T12090","display_name":"Language and cultural evolution","score":0.1526000052690506,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.11569999903440475,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.5325000286102295},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.460999995470047},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.33880001306533813},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.33730000257492065},{"id":"https://openalex.org/keywords/discourse-analysis","display_name":"Discourse analysis","score":0.2928999960422516},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.28540000319480896}],"concepts":[{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.5325000286102295},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4927000105381012},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.460999995470047},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.33730000257492065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3352999985218048},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.314300000667572},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.29319998621940613},{"id":"https://openalex.org/C84389358","wikidata":"https://www.wikidata.org/wiki/Q1129466","display_name":"Discourse analysis","level":2,"score":0.2928999960422516},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.2865000069141388},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2671000063419342},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2572999894618988}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.emnlp-main.1176","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.1176","pdf_url":"https://aclanthology.org/2025.emnlp-main.1176.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.emnlp-main.1176","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.1176","pdf_url":"https://aclanthology.org/2025.emnlp-main.1176.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3710205888","display_name":null,"funder_award_id":"62306184","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320319297","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416035811.pdf","grobid_xml":"https://content.openalex.org/works/W4416035811.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Topic":[0],"evolution":[1,48,156],"and":[2,15,24,40,46,65,83,89,99,133,141,154,170,176,182],"stance":[3,25,45,131,139,152],"dynamics":[4,110],"are":[5],"deeply":[6],"intertwined":[7],"in":[8,32,93,128,164,179],"online":[9,180],"social":[10],"media,":[11],"shaping":[12],"the":[13,52,61,134,147],"fragmentation":[14],"polarization":[16,178],"of":[17,63,108,136],"public":[18],"discourse.Yet":[19],"existing":[20],"dynamic":[21],"topic":[22,47,126,142,155],"models":[23],"analysis":[26],"approaches":[27],"usually":[28],"consider":[29],"these":[30],"processes":[31],"isolation,":[33],"relying":[34],"on":[35,138],"abstractions":[36],"that":[37,118],"lack":[38],"interpretability":[39],"agent-level":[41],"behavioral":[42],"fidelity.We":[43],"present":[44],"reasoning":[49],"framework":[50,57,144],"(SPARK),":[51],"first":[53],"LLM-based":[54],"multi-agent":[55],"simulation":[56,107,183],"for":[58,174],"jointly":[59],"modeling":[60],"co-evolution":[62],"topics":[64],"stances":[66],"through":[67],"natural":[68],"language":[69],"interactions.In":[70],"SPARK,":[71],"each":[72,158],"agent":[73],"is":[74],"instantiated":[75],"as":[76,124],"an":[77],"LLM":[78],"persona":[79],"with":[80,87],"unique":[81],"demographic":[82],"psychological":[84],"traits,":[85],"equipped":[86],"memory":[88],"reflective":[90],"reasoning.Agents":[91],"engage":[92],"daily":[94],"conversations,":[95],"adapt":[96],"their":[97],"stances,":[98],"organically":[100],"introduce":[101],"emergent":[102],"subtopics,":[103],"enabling":[104],"interpretable,":[105],"fine-grained":[106],"discourse":[109],"at":[111],"scale.Experiments":[112],"across":[113],"five":[114],"real-world":[115],"domains":[116],"show":[117],"SPARK":[119],"captures":[120],"key":[121],"empirical":[122],"patterns-such":[123],"rapid":[125],"innovation":[127],"technology,":[129],"domain-specific":[130],"polarization,":[132],"influence":[135],"personality":[137],"shifts":[140,153],"emergence.Our":[143],"quantitatively":[145],"reveals":[146],"bidirectional":[148],"mechanisms":[149],"by":[150],"which":[151],"reinforce":[157],"other,":[159],"a":[160,171],"phenomenon":[161],"rarely":[162],"addressed":[163],"prior":[165],"work.SPARK":[166],"provides":[167],"actionable":[168],"insights":[169],"scalable":[172],"tool":[173],"understanding":[175],"mitigating":[177],"discourse.Code":[181],"resources":[184],"will":[185],"be":[186],"released":[187],"after":[188],"acceptance.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-25T07:29:55.448023","created_date":"2025-11-08T00:00:00"}