{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:58:57Z","timestamp":1750309137583,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,11]],"date-time":"2023-07-11T00:00:00Z","timestamp":1689033600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"EPSRC (Engineering and Physical Sciences Research Council)","award":["EP\/V00784X\/1"],"award-info":[{"award-number":["EP\/V00784X\/1"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,7,11]]},"DOI":"10.1145\/3597512.3599717","type":"proceedings-article","created":{"date-parts":[[2023,7,5]],"date-time":"2023-07-05T22:21:30Z","timestamp":1688595690000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Predicting Stance to Detect Misinformation in Few-shot Learning"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7276-7313","authenticated-orcid":false,"given":"Xin Yu","family":"Liew","sequence":"first","affiliation":[{"name":"University of Nottingham, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3178-6336","authenticated-orcid":false,"given":"Nazia","family":"Hameed","sequence":"additional","affiliation":[{"name":"University of Nottingham, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4280-5993","authenticated-orcid":false,"given":"Jeremie","family":"Clos","sequence":"additional","affiliation":[{"name":"University of Nottingham, United Kingdom"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8878-2454","authenticated-orcid":false,"given":"Joel E.","family":"Fischer","sequence":"additional","affiliation":[{"name":"University of Nottingham, United Kingdom"}]}],"member":"320","published-online":{"date-parts":[[2023,7,11]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"2023. Framework for Responsible Research and Innovation. https:\/\/www.ukri.org\/about-us\/epsrc\/our-policies-and-standards\/framework-for-responsible-innovation\/"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.2196\/19458"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2021.102597"},{"key":"e_1_3_2_1_4_1","volume-title":"Zero-shot stance detection: a dataset and model using generalized topic representations. arXiv preprint arXiv:2010.03640","author":"Allaway Emily","year":"2020","unstructured":"Emily Allaway and Kathleen McKeown. 2020. Zero-shot stance detection: a dataset and model using generalized topic representations. arXiv preprint arXiv:2010.03640 (2020)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.05.035"},{"key":"e_1_3_2_1_6_1","volume-title":"Challenging truth and trust: A global inventory of organized social media manipulation. The computational propaganda project 1","author":"Bradshaw Samantha","year":"2018","unstructured":"Samantha Bradshaw and Philip\u00a0N Howard. 2018. Challenging truth and trust: A global inventory of organized social media manipulation. The computational propaganda project 1 (2018), 1\u201326."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3059821"},{"key":"e_1_3_2_1_8_1","volume-title":"International conference on machine learning. PMLR, 1126\u20131135","author":"Finn Chelsea","year":"2017","unstructured":"Chelsea Finn, Pieter Abbeel, and Sergey Levine. 2017. Model-agnostic meta-learning for fast adaptation of deep networks. In International conference on machine learning. PMLR, 1126\u20131135."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i10.21318"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3216835"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531979"},{"key":"e_1_3_2_1_12_1","unstructured":"Gregory Koch Richard Zemel Ruslan Salakhutdinov 2015. Siamese neural networks for one-shot image recognition. In ICML deep learning workshop Vol.\u00a02. Lille."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01091"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-emnlp.409"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746739"},{"key":"e_1_3_2_1_16_1","volume-title":"Proceedings of the 29th International Conference on Computational Linguistics. 6944\u20136954","author":"Liu Rui","year":"2022","unstructured":"Rui Liu, Zheng Lin, Huishan Ji, Jiangnan Li, Peng Fu, and Weiping Wang. 2022. Target Really Matters: Target-aware Contrastive Learning and Consistency Regularization for Few-shot Stance Detection. In Proceedings of the 29th International Conference on Computational Linguistics. 6944\u20136954."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.278"},{"key":"e_1_3_2_1_18_1","volume-title":"Prototypical networks for few-shot learning. Advances in neural information processing systems 30","author":"Snell Jake","year":"2017","unstructured":"Jake Snell, Kevin Swersky, and Richard Zemel. 2017. Prototypical networks for few-shot learning. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3018506"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"},{"key":"e_1_3_2_1_21_1","volume-title":"Matching networks for one shot learning. Advances in neural information processing systems 29","author":"Vinyals Oriol","year":"2016","unstructured":"Oriol Vinyals, Charles Blundell, Timothy Lillicrap, Daan Wierstra, 2016. Matching networks for one shot learning. Advances in neural information processing systems 29 (2016)."}],"event":{"name":"TAS '23: First International Symposium on Trustworthy Autonomous Systems","acronym":"TAS '23","location":"Edinburgh United Kingdom"},"container-title":["Proceedings of the First International Symposium on Trustworthy Autonomous Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3597512.3599717","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3597512.3599717","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T22:50:12Z","timestamp":1750287012000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3597512.3599717"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,11]]},"references-count":21,"alternative-id":["10.1145\/3597512.3599717","10.1145\/3597512"],"URL":"https:\/\/doi.org\/10.1145\/3597512.3599717","relation":{},"subject":[],"published":{"date-parts":[[2023,7,11]]},"assertion":[{"value":"2023-07-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}