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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 18 of 18 1 MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation ... Li, Yichuan; Jiang, Bohan; Shu, Kai. - : Zenodo, 2021 BASE Show details 2 MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation ... Li, Yichuan; Jiang, Bohan; Shu, Kai. - : Zenodo, 2021 BASE Show details 3 Text Adjuncts and Comprehension with University Level Second Language Readers ... Liu, Huan. - : Washington University in St. Louis, 2021 BASE Show details 4 Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Cheng, Lu; Hall, Deborah. - : Underline Science Inc., 2021 BASE Show details 5 Learning to Selectively Learn for Weakly-supervised Paraphrase Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ding , Kaize; Fan, Xing. - : Underline Science Inc., 2021 BASE Show details 6 "Let's Eat Grandma": When Punctuation Matters in Sentence Representation for Sentiment Analysis ... Karami, Mansooreh; Mosallanezhad, Ahmadreza; Mancenido, Michelle V. - : arXiv, 2021 BASE Show details 7 MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation ... Li, Yichuan; Jiang, Bohan; Shu, Kai. - : arXiv, 2020 BASE Show details 8 Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation Shu, Kai; Mahudeswaran, Deepak; Wang, Suhang; Liu, Huan In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 14 (2020): Fourteenth International AAAI Conference on Web and Social Media; 626-637 ; 2334-0770 ; 2162-3449 (2020) Abstract: Consuming news from social media is becoming increasingly popular. However, social media also enables the wide dissemination of fake news. Because of the detrimental effects of fake news, fake news detection has attracted increasing attention. However, the performance of detecting fake news only from news content is generally limited as fake news pieces are written to mimic true news. In the real world, news pieces spread through propagation networks on social media. The news propagation networks usually involve multi-levels. In this paper, we study the challenging problem of investigating and exploiting news hierarchical propagation network on social media for fake news detection.In an attempt to understand the correlations between news propagation networks and fake news, first, we build hierarchical propagation networks for fake news and true news pieces; second, we perform a comparative analysis of the propagation network features from structural, temporal, and linguistic perspectives between fake and real news, which demonstrates the potential of utilizing these features to detect fake news; third, we show the effectiveness of these propagation network features for fake news detection. We further validate the effectiveness of these features from feature importance analysis. We conduct extensive experiments on real-world datasets and demonstrate the proposed features can significantly outperform state-of-the-art fake news detection methods by at least 1.7% with an average F1>0.84. Altogether, this work presents a data-driven view of hierarchical propagation network and fake news and paves the way towards a healthier online news ecosystem. URL: https://ojs.aaai.org/index.php/ICWSM/article/view/7329 BASE Hide details 9 The Chinese Version of Rochester Participatory Decision-Making Scale (RPAD): Reliability and Validity Guo, Xufang; Liu, Huan; Shih, Yian... In: Evid Based Complement Alternat Med (2020) BASE Show details 10 Probabilistic Relational Supervised Topic Modelling using Word Embeddings Al-Ani, Jabir Alshehabi; Fasli, Maria. - : IEEE, 2019 BASE Show details 11 SlangSD: building, expanding and using a sentiment dictionary of slang words for short-text sentiment classification [<Journal>] Liu, Huan [Sonstige]; Morstatter, Fred [Sonstige]; Wu, Liang [Verfasser] DNB Subject Category Language Show details 12 Identifying Rhetorical Questions in Social Media Liu, Huan; Tang, Jiliang; Hu, Xia... In: Proceedings of the International AAAI Conference on Web and Social Media; Vol. 10 No. 1 (2016): Tenth International AAAI Conference on Web and Social Media ; 2334-0770 ; 2162-3449 (2016) BASE Show details 13 A Study on College English Teaching System Characterized by Need-Oriented Cultivation and Personalized Development: Illustrated by the Reform Practice in China University of Petroleum CHEN, Xiaoxin; LIU, Huan In: Studies in Literature and Language; Vol 10, No 4 (2015): Studies in Literature and Language; 115-123 ; 1923-1563 ; 1923-1555 (2015) BASE Show details 14 Finding Eyewitness Tweets During Crises ... Morstatter, Fred; Lubold, Nichola; Pon-Barry, Heather. - : arXiv, 2014 BASE Show details 15 Invited Speaker Support for SBP Conference Series (SBP 2014) held in April, 2014 in Washington, DC. Liu, Huan; Cioffi-Revilla,Claudio. - 2014 BASE Show details 16 WisColl: Collective wisdom based blog clustering Agarwal, Nitin; Galan, Magdiel; Liu, Huan... In: Information sciences. - New York, NY : Elsevier Science Inc. 180 (2010) 1, 39-61 OLC Linguistik Show details 17 Some current issues of streaming data mining Zhang, Jianping; Liu, Huan; Wang, Paul P. In: Information sciences. - New York, NY : Elsevier Science Inc. 176 (2006) 14, 1949-1951 OLC Linguistik Show details 18 Analysis of Hidden Representations by Greedy Clustering Setiono, Rudy; Liu, Huan In: Connection science. - Abingdon, Oxfordshire : Taylor & Francis 10 (1998) 1, 21-42 OLC Linguistik Show details

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