{"id":"https://openalex.org/W7163650951","doi":"https://doi.org/10.48550/arxiv.2606.05961","title":"Political Persuasion and Endorsement in Large Language Models","display_name":"Political Persuasion and Endorsement in Large Language Models","publication_year":2026,"publication_date":"2026-06-04","ids":{"openalex":"https://openalex.org/W7163650951","doi":"https://doi.org/10.48550/arxiv.2606.05961"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.05961","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05961","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.2606.05961","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138007530","display_name":"Alessia Antelmi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Antelmi, Alessia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117865469","display_name":"Alessia Galdeman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Galdeman, Alessia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137968015","display_name":"Lucio La Cava","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"La Cava, Lucio","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137944379","display_name":"Arianna Pera","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pera, Arianna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134376175","display_name":"Giovanni Da San Martino","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Martino, Giovanni Da San","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/T13910","display_name":"Computational and Text Analysis Methods","score":0.3328999876976013,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.3328999876976013,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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":0.12439999729394913,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.07609999924898148,"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/persuasion","display_name":"Persuasion","score":0.9465000033378601},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.6700000166893005},{"id":"https://openalex.org/keywords/persona","display_name":"Persona","score":0.5178999900817871},{"id":"https://openalex.org/keywords/social-influence","display_name":"Social influence","score":0.3944000005722046},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.39410001039505005},{"id":"https://openalex.org/keywords/persuasive-communication","display_name":"Persuasive communication","score":0.38929998874664307},{"id":"https://openalex.org/keywords/political-communication","display_name":"Political communication","score":0.34850001335144043}],"concepts":[{"id":"https://openalex.org/C2781310500","wikidata":"https://www.wikidata.org/wiki/Q1231428","display_name":"Persuasion","level":2,"score":0.9465000033378601},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.6700000166893005},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.6313999891281128},{"id":"https://openalex.org/C313442","wikidata":"https://www.wikidata.org/wiki/Q778556","display_name":"Persona","level":2,"score":0.5178999900817871},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4828000068664551},{"id":"https://openalex.org/C131158328","wikidata":"https://www.wikidata.org/wiki/Q1307337","display_name":"Social influence","level":2,"score":0.3944000005722046},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.39410001039505005},{"id":"https://openalex.org/C2992000405","wikidata":"https://www.wikidata.org/wiki/Q1231428","display_name":"Persuasive communication","level":3,"score":0.38929998874664307},{"id":"https://openalex.org/C90508534","wikidata":"https://www.wikidata.org/wiki/Q1660049","display_name":"Political communication","level":3,"score":0.34850001335144043},{"id":"https://openalex.org/C205049153","wikidata":"https://www.wikidata.org/wiki/Q2698605","display_name":"Polarization (electrochemistry)","level":2,"score":0.33959999680519104},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.3337000012397766},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.328900009393692},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.32109999656677246},{"id":"https://openalex.org/C2776325391","wikidata":"https://www.wikidata.org/wiki/Q6917865","display_name":"Motivated reasoning","level":3,"score":0.30869999527931213},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.2978000044822693},{"id":"https://openalex.org/C134698397","wikidata":"https://www.wikidata.org/wiki/Q17946","display_name":"Public opinion","level":3,"score":0.2791000008583069},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C105776082","wikidata":"https://www.wikidata.org/wiki/Q617473","display_name":"Likert scale","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.05961","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05961","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.2606.05961","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.05961","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"are":[4,92],"increasingly":[5],"employed":[6],"as":[7,94,102,167],"proxies":[8],"for":[9,140],"human":[10,171],"behavior":[11],"in":[12,30,35,159],"computational":[13],"social":[14,98],"science.":[15],"However,":[16],"their":[17,28,38,165],"tendency":[18],"to":[19,37,40],"internalize":[20],"biases":[21],"from":[22,65,76],"training":[23],"data":[24],"raises":[25],"concerns":[26,154],"about":[27,155],"reliability":[29],"politically":[31,160],"sensitive":[32,161],"domains,":[33],"specifically":[34],"regard":[36],"susceptibility":[39],"persuasive":[41],"language.":[42],"In":[43],"this":[44],"work,":[45],"we":[46],"examine":[47],"whether":[48,54],"LLMs":[49,64,117],"endorse":[50,121],"persuasion-infused":[51,141],"messages":[52,122],"and":[53,130,149,163],"partisan":[55,132],"persona":[56,133],"prompting":[57,134],"modulates":[58],"such":[59],"endorsement.":[60],"We":[61],"evaluate":[62],"six":[63],"different":[66],"geographic":[67],"regions":[68],"on":[69],"content":[70],"annotated":[71],"with":[72,105],"persuasion":[73,124,147],"techniques":[74],"drawn":[75],"real-world":[77],"media":[78,99],"sources,":[79],"measuring":[80],"the":[81],"likelihood":[82],"of":[83,137,170],"endorsement":[84],"using":[85],"a":[86,96,103],"five-point":[87],"Likert":[88],"scale.":[89],"The":[90],"models":[91],"prompted":[93],"either":[95],"neutral":[97],"user":[100,104],"or":[101,107],"left-":[106],"right-leaning":[108],"political":[109,115,172],"views.":[110],"Results":[111],"show":[112],"that":[113,131],"without":[114],"conditioning,":[116],"generally":[118],"do":[119],"not":[120],"containing":[123],"techniques,":[125],"though":[126],"model-level":[127],"differences":[128],"emerge,":[129],"increases":[135],"polarization":[136],"endorsement,":[138],"particularly":[139],"content.":[142],"Endorsement":[143],"further":[144],"varies":[145],"by":[146],"technique":[148],"topic.":[150],"These":[151],"findings":[152],"raise":[153],"agentic":[156],"LLM":[157],"deployments":[158],"environments":[162],"complicate":[164],"use":[166],"reliable":[168],"simulators":[169],"cognition.":[173]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-06T00:00:00"}
