6/15/2023 0 Comments Penn state ischool![]() Jamell Dacon and Haochen Liu Boosting Share Routing for Multi-task Learning NewsBreak Accepted Papers Does Gender Matter in the News? Detecting and Examining Gender Bias in News Articles Panel Discussion: The Future of News Intelligence He also serves as an area chair in ACL 2021, and has served as a PC member in ACL, EMNLP, NAACL, AAAI, ICML, IJCAI & NeurIPS. He has published research papers mainly in the NLP area, including ACL, EMNLP, and NAACL. His research interests lie mostly in the area of discourse understanding, such as co-reference resolution, event extraction and co-reference, discourse parsing and semantic language modeling (script learning). Prior to that, he received his bachelor degree from Tsinghua University in 2013. Dan Roth in the Cognitive Computation Group. degree from University of Illinois at Urbana-Champaign in 2018, working with Prof. Haoruo Peng currently serves as Head of Content Science at NewsBreak, the #1 intelligent news app & local information platform in US. Last but not least, I would like to conclude by sharing several key open problems with the academic community which could help revitalizing local journalism.īio. Next, I will explain how local journalists would interact with our platform, while emphasizing the importance of human-in-the-loop to ensure the quality of local reporting. I will then discuss our internally developed assisted writing technologies designed to address such pain points along with their academic roots. In this talk, I will first present our study on how a local journalist would create a news piece, revealing several pain points. We at NewsBreak (an intelligent digital platform for local news), always believe in addressing the problem by empowering local journalists directly with human-in-the-loop AI technologies. The disappearance of thousands of local newspapers and laid off local journalists has left millions of people without a vital source of information, much of it being the critical original reporting. In recent years, local journalism has been struggling to survive. Revitalizing Local Journalism with AI-Assisted Writing: a Human-in-the-loop Approach More details of his research can be found at. Since 2017, in particular, he has led the SysFake project at Penn State, investigating to better understand and develop computational methods to combat fake news. In general, he researches the problems in the areas of data science, machine learning, and cybersecurity. From 2012 to 2015, he has served as a co-founder and chief scientist of Nittany Systems Research, and From 2015 to 2017, he has served as a program director at National Science Foundation, co-managing cybersecurity education programs with the yearly budget of $55M. Before starting at Penn State, he has worked at AT&T Bell Labs and obtained his Ph.D. Dongwon Lee is an associate professor in the College of Information Sciences and Technology (aka iSchool) at Penn State University, and also an ACM distinguished member elected in 2019. I will next discuss the important implications and impacts of “neural” false information and deepfakes in diverse applications, and conclude with final thoughts, emphasizing the needs of interdisciplinary and transdisciplinary approaches to this very challenging and important problem.īio. In this talk, I will first present a review on the state-of-the-art computational solutions from my group as well as other leading groups that attempt to combat this false information and deepfakes. The recently-emerged phenomenon of “deepfakes” (AI-synthesized realistic artifacts) and other neural fakes could exacerbate the problem even further. The recent world-wide rise of “false information” (that may include rumor, clickbait, satire, fake news, hoax, misinformation, or disinformation) has caused significant confusion and disruption in societies. Fake News 2.0: Combating Neural False Information
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