{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,18]],"date-time":"2026-06-18T20:05:49Z","timestamp":1781813149977,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":40,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,8,14]],"date-time":"2021-08-14T00:00:00Z","timestamp":1628899200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["IIS-1553411, IIS-1956017"],"award-info":[{"award-number":["IIS-1553411, IIS-1956017"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,8,14]]},"DOI":"10.1145\/3447548.3467153","type":"proceedings-article","created":{"date-parts":[[2021,8,12]],"date-time":"2021-08-12T06:13:10Z","timestamp":1628748790000},"page":"3708-3716","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":58,"title":["Multimodal Emergent Fake News Detection via Meta Neural Process Networks"],"prefix":"10.1145","author":[{"given":"Yaqing","family":"Wang","sequence":"first","affiliation":[{"name":"Purdue University, West Lafayette, IN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fenglong","family":"Ma","sequence":"additional","affiliation":[{"name":"Pennsylvania State University, State College, PA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoyu","family":"Wang","sequence":"additional","affiliation":[{"name":"Purdue University, West Lafayette, IN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kishlay","family":"Jha","sequence":"additional","affiliation":[{"name":"University of Virginia, Charlottesville, VA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Gao","sequence":"additional","affiliation":[{"name":"Purdue University, West Lafayette, IN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,8,14]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.279"},{"key":"e_1_3_2_1_2_1","unstructured":"Christina Boididou Katerina Andreadou Symeon Papadopoulos Duc-Tien Dang-Nguyen Giulia Boato Michael Riegler Yiannis Kompatsiaris etal 2015. Verifying Multimedia Use at MediaEval 2015.. In MediaEval.  Christina Boididou Katerina Andreadou Symeon Papadopoulos Duc-Tien Dang-Nguyen Giulia Boato Michael Riegler Yiannis Kompatsiaris et al. 2015. Verifying Multimedia Use at MediaEval 2015.. In MediaEval."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00051"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/1963405.1963500"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/2857070.2857152"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/3305381.3305498"},{"key":"e_1_3_2_1_7_1","volume-title":"Conditional Neural Processes. In International Conference on Machine Learning. 1704--1713","author":"Garnelo Marta","year":"2018","unstructured":"Marta Garnelo , Dan Rosenbaum , Christopher Maddison , Tiago Ramalho , David Saxton , Murray Shanahan , Yee Whye Teh , Danilo Rezende , and SM Ali Eslami . 2018 a. Conditional Neural Processes. In International Conference on Machine Learning. 1704--1713 . Marta Garnelo, Dan Rosenbaum, Christopher Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo Rezende, and SM Ali Eslami. 2018a. Conditional Neural Processes. In International Conference on Machine Learning. 1704--1713."},{"key":"e_1_3_2_1_8_1","volume-title":"Neural processes. arXiv preprint arXiv:1807.01622","author":"Garnelo Marta","year":"2018","unstructured":"Marta Garnelo , Jonathan Schwarz , Dan Rosenbaum , Fabio Viola , Danilo J Rezende , SM Eslami , and Yee Whye Teh . 2018b. Neural processes. arXiv preprint arXiv:1807.01622 ( 2018 ). Marta Garnelo, Jonathan Schwarz, Dan Rosenbaum, Fabio Viola, Danilo J Rezende, SM Eslami, and Yee Whye Teh. 2018b. Neural processes. arXiv preprint arXiv:1807.01622 (2018)."},{"key":"e_1_3_2_1_9_1","volume-title":"Statistical theory of extreme values and some practical applications: a series of lectures","author":"Gumbel Emil Julius","unstructured":"Emil Julius Gumbel . 1948. Statistical theory of extreme values and some practical applications: a series of lectures . Vol. 33 . US Government Printing Office . Emil Julius Gumbel. 1948. Statistical theory of extreme values and some practical applications: a series of lectures. Vol. 33. US Government Printing Office."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-13734-6_16"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972825.14"},{"key":"e_1_3_2_1_12_1","volume-title":"Categorical reparameterization with gumbel-softmax. arXiv preprint arXiv:1611.01144","author":"Jang Eric","year":"2016","unstructured":"Eric Jang , Shixiang Gu , and Ben Poole . 2016. Categorical reparameterization with gumbel-softmax. arXiv preprint arXiv:1611.01144 ( 2016 ). Eric Jang, Shixiang Gu, and Ben Poole. 2016. Categorical reparameterization with gumbel-softmax. arXiv preprint arXiv:1611.01144 (2016)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123454"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.91"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2617078"},{"key":"e_1_3_2_1_16_1","volume-title":"Attentive neural processes. arXiv preprint arXiv:1901.05761","author":"Kim Hyunjik","year":"2019","unstructured":"Hyunjik Kim , Andriy Mnih , Jonathan Schwarz , Marta Garnelo , Ali Eslami , Dan Rosenbaum , Oriol Vinyals , and Yee Whye Teh . 2019. Attentive neural processes. arXiv preprint arXiv:1901.05761 ( 2019 ). Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, Ali Eslami, Dan Rosenbaum, Oriol Vinyals, and Yee Whye Teh. 2019. Attentive neural processes. arXiv preprint arXiv:1901.05761 (2019)."},{"key":"e_1_3_2_1_17_1","volume-title":"Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882","author":"Kim Yoon","year":"2014","unstructured":"Yoon Kim . 2014. Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882 ( 2014 ). Yoon Kim. 2014. Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882 (2014)."},{"key":"e_1_3_2_1_18_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_19_1","volume-title":"Meta-sgd: Learning to learn quickly for few-shot learning. arXiv preprint arXiv:1707.09835","author":"Li Zhenguo","year":"2017","unstructured":"Zhenguo Li , Fengwei Zhou , Fei Chen , and Hang Li . 2017 . Meta-sgd: Learning to learn quickly for few-shot learning. arXiv preprint arXiv:1707.09835 (2017). Zhenguo Li, Fengwei Zhou, Fei Chen, and Hang Li. 2017. Meta-sgd: Learning to learn quickly for few-shot learning. arXiv preprint arXiv:1707.09835 (2017)."},{"key":"e_1_3_2_1_20_1","volume-title":"GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media. arXiv preprint arXiv:2004.11648","author":"Lu Yi-Ju","year":"2020","unstructured":"Yi-Ju Lu and Cheng-Te Li . 2020 . GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media. arXiv preprint arXiv:2004.11648 (2020). Yi-Ju Lu and Cheng-Te Li. 2020. GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media. arXiv preprint arXiv:2004.11648 (2020)."},{"key":"e_1_3_2_1_21_1","unstructured":"Jing Ma Wei Gao Prasenjit Mitra Sejeong Kwon Bernard J Jansen Kam-Fai Wong and Meeyoung Cha. 2016. Detecting Rumors from Microblogs with Recurrent Neural Networks.. In IJCAI. 3818--3824.  Jing Ma Wei Gao Prasenjit Mitra Sejeong Kwon Bernard J Jansen Kam-Fai Wong and Meeyoung Cha. 2016. Detecting Rumors from Microblogs with Recurrent Neural Networks.. In IJCAI. 3818--3824."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3184558.3188729"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313741"},{"key":"e_1_3_2_1_24_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111--3119.  Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111--3119."},{"key":"e_1_3_2_1_25_1","first-page":"385","article-title":"A review on image feature extraction and representation techniques","volume":"8","author":"Tian Dong","year":"2013","unstructured":"Dong ping Tian 2013 . A review on image feature extraction and representation techniques . International Journal of Multimedia and Ubiquitous Engineering , Vol. 8 , 4 (2013), 385 -- 396 . Dong ping Tian et al. 2013. A review on image feature extraction and representation techniques. International Journal of Multimedia and Ubiquitous Engineering, Vol. 8, 4 (2013), 385--396.","journal-title":"International Journal of Multimedia and Ubiquitous Engineering"},{"key":"e_1_3_2_1_26_1","volume-title":"DeClarE: Debunking fake news and false claims using evidence-aware deep learning. arXiv preprint arXiv:1809.06416","author":"Popat Kashyap","year":"2018","unstructured":"Kashyap Popat , Subhabrata Mukherjee , Andrew Yates , and Gerhard Weikum . 2018. DeClarE: Debunking fake news and false claims using evidence-aware deep learning. arXiv preprint arXiv:1809.06416 ( 2018 ). Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, and Gerhard Weikum. 2018. DeClarE: Debunking fake news and false claims using evidence-aware deep learning. arXiv preprint arXiv:1809.06416 (2018)."},{"key":"e_1_3_2_1_27_1","volume-title":"Exploiting Multi-domain Visual Information for Fake News Detection. arXiv preprint arXiv:1908.04472","author":"Qi Peng","year":"2019","unstructured":"Peng Qi , Juan Cao , Tianyun Yang , Junbo Guo , and Jintao Li. 2019. Exploiting Multi-domain Visual Information for Fake News Detection. arXiv preprint arXiv:1908.04472 ( 2019 ). Peng Qi, Juan Cao, Tianyun Yang, Junbo Guo, and Jintao Li. 2019. Exploiting Multi-domain Visual Information for Fake News Detection. arXiv preprint arXiv:1908.04472 (2019)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132877"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.11.013"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3137597.3137600"},{"key":"e_1_3_2_1_31_1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556","author":"Simonyan Karen","year":"2014","unstructured":"Karen Simonyan and Andrew Zisserman . 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 ( 2014 ). Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)."},{"key":"e_1_3_2_1_32_1","volume-title":"Stefano Moret, and Luca de Alfaro.","author":"Tacchini Eugenio","year":"2017","unstructured":"Eugenio Tacchini , Gabriele Ballarin , Marco L Della Vedova , Stefano Moret, and Luca de Alfaro. 2017 . Some like it hoax: Automated fake news detection in social networks. arXiv preprint arXiv:1704.07506 (2017). Eugenio Tacchini, Gabriele Ballarin, Marco L Della Vedova, Stefano Moret, and Luca de Alfaro. 2017. Some like it hoax: Automated fake news detection in social networks. arXiv preprint arXiv:1704.07506 (2017)."},{"key":"e_1_3_2_1_33_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez Lukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In Advances in neural information processing systems. 5998--6008.  Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez Lukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In Advances in neural information processing systems. 5998--6008."},{"key":"e_1_3_2_1_34_1","volume-title":"A perspective view and survey of meta-learning. Artificial intelligence review","author":"Vilalta Ricardo","year":"2002","unstructured":"Ricardo Vilalta and Youssef Drissi . 2002. A perspective view and survey of meta-learning. Artificial intelligence review , Vol. 18 , 2 ( 2002 ), 77--95. Ricardo Vilalta and Youssef Drissi. 2002. A perspective view and survey of meta-learning. Artificial intelligence review, Vol. 18, 2 (2002), 77--95."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219903"},{"key":"e_1_3_2_1_36_1","volume-title":"2020 a. Adaptive Self-training for Few-shot Neural Sequence Labeling. arXiv preprint arXiv:2010.03680","author":"Wang Yaqing","year":"2020","unstructured":"Yaqing Wang , Subhabrata Mukherjee , Haoda Chu , Yuancheng Tu , Ming Wu , Jing Gao , and Ahmed Hassan Awadallah . 2020 a. Adaptive Self-training for Few-shot Neural Sequence Labeling. arXiv preprint arXiv:2010.03680 ( 2020 ). Yaqing Wang, Subhabrata Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, and Ahmed Hassan Awadallah. 2020 a. Adaptive Self-training for Few-shot Neural Sequence Labeling. arXiv preprint arXiv:2010.03680 (2020)."},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403303"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5389"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2015.7113322"},{"key":"e_1_3_2_1_40_1","volume-title":"Hierarchically structured meta-learning. arXiv preprint arXiv:1905.05301","author":"Yao Huaxiu","year":"2019","unstructured":"Huaxiu Yao , Ying Wei , Junzhou Huang , and Zhenhui Li. 2019. Hierarchically structured meta-learning. arXiv preprint arXiv:1905.05301 ( 2019 ). Huaxiu Yao, Ying Wei, Junzhou Huang, and Zhenhui Li. 2019. Hierarchically structured meta-learning. arXiv preprint arXiv:1905.05301 (2019)."}],"event":{"name":"KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Virtual Event Singapore","acronym":"KDD '21","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3447548.3467153","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3447548.3467153","content-type":"text\/html","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3447548.3467153","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3447548.3467153","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:18:27Z","timestamp":1750191507000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3447548.3467153"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,14]]},"references-count":40,"alternative-id":["10.1145\/3447548.3467153","10.1145\/3447548"],"URL":"https:\/\/doi.org\/10.1145\/3447548.3467153","relation":{},"subject":[],"published":{"date-parts":[[2021,8,14]]},"assertion":[{"value":"2021-08-14","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}