{"id":"https://openalex.org/W4412944693","doi":"https://doi.org/10.18653/v1/2025.findings-acl.1216","title":"USDC: A Dataset of \u00a0User \u00a0Stance and \u00a0Dogmatism in Long \u00a0Conversations","display_name":"USDC: A Dataset of \u00a0User \u00a0Stance and \u00a0Dogmatism in Long \u00a0Conversations","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412944693","doi":"https://doi.org/10.18653/v1/2025.findings-acl.1216"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.1216","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1216","pdf_url":"https://aclanthology.org/2025.findings-acl.1216.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":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.1216.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062052248","display_name":"Mounika Marreddy","orcid":"https://orcid.org/0000-0003-1184-640X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mounika Marreddy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029606497","display_name":"Subba Reddy Oota","orcid":"https://orcid.org/0000-0002-5975-622X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Subba Reddy Oota","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090790415","display_name":"Venkata Charan Chinni","orcid":"https://orcid.org/0000-0003-4573-1096"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Venkata Charan Chinni","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046755750","display_name":"Manish Gupta","orcid":"https://orcid.org/0000-0002-2843-3110"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Manish Gupta","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5099497276","display_name":"Lucie Flek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lucie Flek","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23530455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"23715","last_page":"23759"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12705","display_name":"Educational Reforms and Innovations","score":0.6937999725341797,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12705","display_name":"Educational Reforms and Innovations","score":0.6937999725341797,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13444","display_name":"Medical Research and Treatments","score":0.6062999963760376,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5662987232208252},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34878093004226685},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.33952024579048157},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3292190134525299}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5662987232208252},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34878093004226685},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.33952024579048157},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3292190134525299}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.1216","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1216","pdf_url":"https://aclanthology.org/2025.findings-acl.1216.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":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.1216","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.1216","pdf_url":"https://aclanthology.org/2025.findings-acl.1216.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":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412944693.pdf","grobid_xml":"https://content.openalex.org/works/W4412944693.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Analyzing":[0],"user":[1,34,67,152],"opinion":[2,68,114,155],"changes":[3,153],"in":[4,33,70,94,115],"long":[5,72],"conversation":[6,58,75,99,117,158],"threads":[7,135],"is":[8,159,223],"extremely":[9],"critical":[10],"for":[11,65,81,128,202,206,240],"applications":[12],"like":[13,235],"enhanced":[14],"personalization,":[15],"market":[16],"research,":[17],"political":[18],"campaigns,":[19],"customer":[20],"service,":[21],"targeted":[22],"advertising,":[23],"and":[24,31,53,124,146,167,178,184,204,220,228,238,243,250],"content":[25],"moderation.Unfortunately,":[26],"previous":[27],"studies":[28],"on":[29,38,100,118,175,192],"stance":[30,93,203,242],"dogmatism":[32,207,244],"conversations":[35,195],"have":[36],"focused":[37],"training":[39],"models":[40,234],"using":[41],"datasets":[42],"annotated":[43],"at":[44],"the":[45,116,141,188,241,248],"post":[46,50,96],"level,":[47],"treating":[48],"each":[49],"as":[51],"independent":[52],"randomly":[54],"sampling":[55],"posts":[56],"from":[57,181],"threads.Hence,":[59],"first,":[60],"we":[61,171],"build":[62],"a":[63,91,95,98,101,111,119,151,157,213],"dataset":[64,251],"studying":[66],"fluctuations":[69],"764":[71],"multi-user":[73],"Reddit":[74],"threads,":[76],"called":[77],"USDC.USDC":[78],"contains":[79],"annotations":[80,127,180,191],"2":[82],"tasks:":[83],"i)":[84],"User":[85,105],"Stance":[86],"classification,":[87,107],"which":[88,108],"involves":[89,109],"labeling":[90,110],"user's":[92,112],"within":[97,156],"five-point":[102],"scale;":[103],"ii)":[104],"Dogmatism":[106],"overall":[113],"fourpoint":[120],"scale.Besides":[121],"being":[122],"time-consuming":[123],"costly,":[125],"manual":[126],"USDC":[129],"are":[130,165],"challenging":[131],"because:":[132],"1)":[133],"Conversation":[134],"could":[136],"be":[137],"very":[138],"long,":[139],"increasing":[140],"chances":[142],"of":[143,200,216],"noisy":[144],"annotations;":[145],"2)":[147],"Interpreting":[148],"instances":[149],"where":[150],"their":[154],"difficult":[160],"because":[161],"often":[162],"such":[163],"transitions":[164],"subtle":[166],"not":[168],"expressed":[169],"explicitly.Hence,":[170],"leverage":[172],"majority":[173],"voting":[174],"zeroshot,":[176],"one-shot,":[177],"few-shot":[179],"Mistral":[182],"Large":[183],"GPT-4":[185],"to":[186,226],"automate":[187],"annotation":[189],"process.Human":[190],"200":[193],"test":[194],"achieved":[196],"inter-annotator":[197],"agreement":[198],"scores":[199],"0.49":[201],"0.50":[205],"with":[208],"these":[209],"LLM":[210,221],"annotations,":[211],"indicating":[212],"reasonable":[214],"level":[215],"consistency":[217],"between":[218],"human":[219],"annotations.USDC":[222],"then":[224],"used":[225],"finetune":[227],"instruction-tune":[229],"multiple":[230],"deployable":[231],"small":[232],"language":[233],"LLaMA,":[236],"Falcon":[237],"Vicuna":[239],"classification":[245],"tasks.We":[246],"make":[247],"code":[249],"publicly":[252],"available":[253],"1":[254,256],".":[255]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
