{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T01:54:48Z","timestamp":1772934888634,"version":"3.50.1"},"reference-count":54,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100010663","name":"European Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010663","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["12231004,1272054"],"award-info":[{"award-number":["12231004,1272054"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,8]]},"DOI":"10.1109\/bigdata66926.2025.11402001","type":"proceedings-article","created":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T20:57:57Z","timestamp":1772830677000},"page":"3591-3600","source":"Crossref","is-referenced-by-count":0,"title":["Tracing Partisan Bias to its Emotional Fingerprints: A Computational Approach to Mitigation"],"prefix":"10.1109","author":[{"given":"Junjie","family":"Liu","sequence":"first","affiliation":[{"name":"Trinity College Dublin,Department of Political Science,Dublin,Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xi","family":"Luo","sequence":"additional","affiliation":[{"name":"Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science,Zhuhai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sirong","family":"Wu","sequence":"additional","affiliation":[{"name":"Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science,Zhuhai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gengchen","family":"Sun","sequence":"additional","affiliation":[{"name":"Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science,Zhuhai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuhui","family":"Deng","sequence":"additional","affiliation":[{"name":"Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science,Zhuhai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1515\/9783110271355-013"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/1369118X.2017.1305427"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1111\/j.1460-2466.2000.tb02866.x"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121641"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1086\/499414"},{"key":"ref6","volume-title":"Echo chambers: Bush v. Gore, impeachment, and beyond","author":"Sunstein","year":"2001"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1177\/1461444820946455"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.abn0083"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1257\/mic.20220163"},{"key":"ref10","first-page":"1","article-title":"Newscube 2.0: an exploratory design of a social news website for media bias mitigation","volume-title":"Workshop on Social Recommender Systems","author":"Park","year":"2011"},{"key":"ref11","volume-title":"A ective Computing","author":"Picard","year":"1997"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.naacl-main.228"},{"key":"ref13","article-title":"Mitigating framing bias with polarity minimisation loss","author":"Bang","year":"2023","journal-title":"arXiv preprint"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-emnlp.255"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2021.103654"},{"key":"ref16","article-title":"Justice or prejudice? quantifying biases in 11m-as-a-judge","author":"Ye","year":"2024","journal-title":"arXiv preprint"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0193765"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.52202\/068431-1800"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1017"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s00799-018-0261-y"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-naacl.101"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.404"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1664"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JCDL.2017.7991561"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.556"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-4809"},{"key":"ref27","article-title":"Beyond Partisan Leaning: A Comparative Analysis of Political Bias in Large Language Models","author":"Peng","year":"2024","journal-title":"ArXiv Preprint"},{"key":"ref28","article-title":"Mbic-a media bias annotation dataset including annotator characteristics","author":"Spinde","year":"2021","journal-title":"arXiv preprint"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.naacl-long.227"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-eacl.70"},{"key":"ref31","article-title":"What is the role of small models in the llm era: A survey","author":"Chen","year":"2024","journal-title":"arXiv preprint"},{"key":"ref32","article-title":"A comprehensive survey of small language models in the era of large language models: Techniques, enhancements, applications, collaboration with 11 ms, and trustworthiness","author":"Wang","year":"2024","journal-title":"arXiv preprint"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1518701.1518772"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v36i4.2528"},{"key":"ref35","article-title":"Mitigating media bias through neutral article generation","author":"Lee","year":"2021","journal-title":"arXiv preprint"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3449139"},{"key":"ref37","article-title":"Allsides. What does a \u201ccentre\u201d media bias rating mean?","year":"2019","journal-title":"Website"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v15i1.18069"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.383"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.393"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.656"},{"key":"ref42","volume-title":"Sense and nonsense in psychology","author":"Eysenck","year":"1957"},{"key":"ref43","volume-title":"The nature of human values","author":"Rokeach","year":"1973"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-long.600"},{"key":"ref45","first-page":"74","article-title":"Rouge: A package for automatic evaluation of summaries","author":"Lin","year":"2004","journal-title":"Text summarisation branches out"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3115\/1073083.1073135"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1523"},{"key":"ref48","article-title":"An introduction to duc 2004 intrinsic evaluation of generic new text summarisation systems, 2004","author":"Over","year":"2002","journal-title":"National Institute of Standards and Technology"},{"key":"ref49","first-page":"28","article-title":"Teaching machines to read and comprehend","author":"Hermann","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref50","article-title":"Bart: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension","author":"Lewis","year":"2019","journal-title":"arXiv preprint"},{"key":"ref51","article-title":"Multi-news: A large-scale multi-document summarisation dataset and abstractive hierarchical model","author":"Fabbri","year":"2019","journal-title":"arXiv preprint"},{"key":"ref52","first-page":"11328","article-title":"Pegasus: Pre-training with extracted gap-sentences for abstractive summarisation","volume-title":"International Conference on Machine Learning","author":"Zhang","year":"2020"},{"key":"ref53","article-title":"Federal appeals court keeps texas abortion ban intact; doj asks supreme court to halt law","year":"2021","journal-title":"Website"},{"key":"ref54","article-title":"Biden cancels trip, focuses on spending bills as votes approach","year":"2021","journal-title":"Website"}],"event":{"name":"2025 IEEE International Conference on Big Data (BigData)","location":"Macau, China","start":{"date-parts":[[2025,12,8]]},"end":{"date-parts":[[2025,12,11]]}},"container-title":["2025 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11400704\/11400712\/11402001.pdf?arnumber=11402001","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T07:19:34Z","timestamp":1772867974000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11402001\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,8]]},"references-count":54,"URL":"https:\/\/doi.org\/10.1109\/bigdata66926.2025.11402001","relation":{},"subject":[],"published":{"date-parts":[[2025,12,8]]}}}