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Unbox the Blackbox: Predict and Interpret YouTube Viewership Using Deep Learning [article]

Jiaheng Xie, Xiao Liu
2022 arXiv   pre-print
Following the design-science paradigm, we propose a novel interpretable IT system, Precise Wide and Deep Learning (PrecWD), to precisely interpret viewership prediction.  ...  Although deep learning champions viewership prediction, it lacks interpretability, which is fundamental to increasing the adoption of predictive models and prescribing measurements to improve viewership  ...  precise interpretation, named Precise Wide-and-Deep Learning (PrecWD).  ... 
arXiv:2101.01076v6 fatcat:2aoho4fzjfc63l3xtvhotkcwt4

An Interpretable Deep Learning Approach to Understand Health Misinformation Transmission on YouTube

Jiaheng Xie, Yidong Chai, Xiao Liu
2022 Proceedings of the Annual Hawaii International Conference on System Sciences   unpublished
We provide direct implications to design interventions to identify misinformation, control transmissions, and manage infodemics.  ...  This study contributes to IS with a novel interpretable deep learning that is generalizable to understand human decisions.  ...  In order to manage infodemics, it is essential to not only predict misinformation transmission, but also simultaneously understand the underlying factors that drive such a transmission.  ... 
doi:10.24251/hicss.2022.183 fatcat:b5d53vggq5azfpqik64pjpppzi

A Framework of AI-Based Approaches to Improving eHealth Literacy and Combating Infodemic

Tianming Liu, Xiang Xiao
2021 Frontiers in Public Health  
Also, this article will make our recommendations of a general framework of AI-based approaches to improving eHealth literacy and combating infodemic, including AI-augmented lifelong learning, AI-assisted  ...  This general framework of AI-based approaches to improving eHealth literacy and combating infodemic has the general advantage of matching the right online health information to the right people.  ...  ACKNOWLEDGMENTS The authors would like to thank two reviewers for their insightful and constructive comments and guidance that have helped us to significantly improve the manuscript.  ... 
doi:10.3389/fpubh.2021.755808 pmid:34917575 pmcid:PMC8669242 fatcat:5xcl7cliq5btppjulu4xagvvfy

Public Emotional and Coping Responses to the COVID-19 Infodemic: A Review and Recommendations

Weijun Ying, Cecilia Cheng
2021 Frontiers in Psychiatry  
Healthcare professionals and laypersons have sought to learn more about this novel and highly transmissible disease to better understand its etiology, treatment, and prevention.  ...  Collectively, these problems have been recognized by the World Health Organization as an "infodemic."  ...  ACKNOWLEDGMENTS The authors would like to thank Sophie Lau and Janice Leung for clerical assistance.  ... 
doi:10.3389/fpsyt.2021.755938 pmid:34970164 pmcid:PMC8712438 fatcat:zuslrhbv35acjhafaxg4n4ox24

From Artificial Intelligence Bias to Inequality in the Time of COVID-19

Miguel Luengo-Oroz, Joseph Bullock, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Alexandra Luccioni
2021 IEEE technology & society magazine  
, Switzerland, advising on digital health communications, and an agile-certified (PMI-ACP) practitioner managing various innovation projects.  ...  Indeed, while many classical modeling approaches can be interrogated mathematically and computationally, we are still much less able to interpret the reasoning behind the outputs of an AI system.  ... 
doi:10.1109/mts.2021.3056282 fatcat:zl6c27fvqfazbonlfeowfnyjle

COVID-19 as an "Infodemic" in Public Health: Critical Role of the Social Media

Debanjan Banerjee, K. S. Meena
2021 Frontiers in Public Health  
Added to this is the plethora of misinformation, rumor and conspiracy theories circulating every day.  ...  In this article, we glance at the unique evolution of COVID-19 as an "infodemic" in the hands of social media and the impact it had on its spread and public reaction.  ...  Incomplete understanding, partial or biased interpretation, hearsay, rumor-mongering and inadequate communication are the main ways that give rise to health-related misinformation (29) .  ... 
doi:10.3389/fpubh.2021.610623 pmid:33816415 pmcid:PMC8012664 fatcat:eyyiui6navcrrgq3t3clyhomly

Rethinking Fake News: Disinformation and Ideology during the time of COVID-19 Global Pandemic

Ronnie Das, Wasim Ahmed
2021 IIM Kozhikode Society & Management Review  
Although the term 'misinformation' has been generalized in media and scholarly work, there is a fundamental difference between how misinformation impacts society, compared to more strategically planned  ...  The COVID-19 pandemic has seen a surge of misinformation leading to anti-mask, anti-vaccine and anti-5G protests on a global scale.  ...  to contextualise and implement a infodemic for global infordemic clear infodemic management plan.  ... 
doi:10.1177/22779752211027382 fatcat:rf65nzjfk5aehhyfolanhfwxj4

Mapping the landscape of Artificial Intelligence applications against COVID-19

Joseph Bullock, Alexandra Luccioni, Katherine Hoffman Pham, Cynthia Sin Nga Lam, Miguel Luengo-Oroz
2020 The Journal of Artificial Intelligence Research  
In this review, we present an overview of recent studies using Machine Learning and, more broadly, Artificial Intelligence, to tackle many aspects of the COVID19 crisis.  ...  COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by the World Health Organization, which has reported over 18 million confirmed cases as of August 5, 2020.  ...  Thank you to our colleagues from the M.Tyers Laboratory (IRIC) for their advice.  ... 
doi:10.1613/jair.1.12162 fatcat:7637s3giwzed3l3f4zrryz6544

Mapping the Landscape of Artificial Intelligence Applications against COVID-19 [article]

Joseph Bullock, Alexandra Luccioni, Katherine Hoffmann Pham, Cynthia Sin Nga Lam, Miguel Luengo-Oroz
2020 arXiv   pre-print
In this review, we present an overview of recent studies using Machine Learning and, more broadly, Artificial Intelligence, to tackle many aspects of the COVID-19 crisis at different scales including molecular  ...  COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by the World Health Organization, with over 2.5 million confirmed cases as of April 23, 2020.  ...  Thank you to our colleagues from the M.Tyers Laboratory (IRIC) for their advice.  ... 
arXiv:2003.11336v2 fatcat:ljhflk4vwzgzrpierq63rcns5a

How Data is Helping to Fight COVID-19 Pandemic

Harsh Arvind Athavale, Sunita Arvind Athavale, Amey Subodh Pathak, Tanmay Subodh Pathak
2021 Journal of Clinical and Diagnostic Research  
World Health Organisation (WHO) called this pandemic an infodemic where data played a crucial role.  ...  Early in 2020, the COVID-19 pandemic emerged as a global public health concern requiring urgent attention, concerted efforts and intervention to avoid catastrophe.  ...  Sentiment analysis is one such technique to interpret the textual data on social networks and gain an insight into misinformation campaigns, fake news and rumours.  ... 
doi:10.7860/jcdr/2021/49455.15406 fatcat:o2tp2i36fnftzczgxzguvempru

COVID-19 Modeling: A Review [article]

Longbing Cao, Qing Liu
2021 arXiv   pre-print
machine learning, simulation modeling, social science methods, and hybrid modeling.  ...  It constructs a research landscape of COVID-19 modeling tasks and methods, and further categorizes, summarizes, compares and discusses the related methods and progress of modeling COVID-19 epidemic transmission  ...  • How well do AI and data science, specifically machine learning and deep learning, deepen and broaden the understanding and management of the COVID-19 pandemic?  ... 
arXiv:2104.12556v3 fatcat:pj2bketcrveafbjf2m7tx3odxy

An Exploratory Study of COVID-19 Misinformation on Twitter [article]

Gautam Kishore Shahi and Anne Dirkson and Tim A. Majchrzak
2020 arXiv   pre-print
To tackle this infodemic, scientific oversight, as well as a better understanding by practitioners in crisis management, is needed.  ...  We have conducted an exploratory study into the propagation, authors and content of misinformation on Twitter around the topic of COVID-19 in order to gain early insights.  ...  Probably, social media analytics support can draw from lessons learned on crisis management decision making under deep uncertainty [64] .  ... 
arXiv:2005.05710v2 fatcat:fgh6mqriejc3nlujyz3i5sqvsa

Learning from Each Other—A Bibliometric Review of Research on Information Disorders

Ramona Bran, Laurentiu Tiru, Gabriela Grosseck, Carmen Holotescu, Laura Malita
2021 Sustainability  
and increase the understanding of the research on information disorders.  ...  We analyzed 8964 papers with the goal to have an overall picture of the topic, clarify the knowledge framework of research in this field, examine the development dynamics, identify future research directions  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.  ... 
doi:10.3390/su131810094 fatcat:lm5zyu4cpzenhib7bv6q6d6you

Real-Time Tracking of COVID-19 Rumors Using Community-Based Methods in Côte d'Ivoire

Natalie Tibbels, Abdul Dosso, Aliya Allen-Valley, William Benie, Corinne Fordham, Jeanne Aka Brou, Marjorie Nana, Valère Zounneme, Korodénin Fatoumata Silué, Diarra Kamara, Danielle Naugle
2021 Global Health: Science and Practice Journal  
Rumors are unverified pieces of information spreading online or person-to-person that reduce trust in health authorities and create barriers to protective practices.  ...  Hotline teleoperators and data managers coded rumors in near-real-time according to behavioral theory frameworks within DHIS2 and visualized the findings on custom dashboards.  ...  rumor management approaches, including the International Federation of the Red Cross, United Nations Children's Fund, and Internews.  ... 
doi:10.9745/ghsp-d-21-00031 pmid:34038385 fatcat:imrzqqodn5gfvcix5avweqzvxm

COVID-19 Modeling: A Review [article]

Longbing Cao, Qing Liu
2022 medRxiv   pre-print
what and how well have epidemiology, AI, data science, machine learning, deep learning, mathematics and social science characterized the COVID-19 epidemic?  ...  Such questions involve a wide body of knowledge and literature, unclear but important for the present and future health crisis quantification.  ...  indications to understand, manage or intervene them.  ... 
doi:10.1101/2022.08.22.22279022 fatcat:qwj3bp6sa5dbrbwxk4qekjpgtq
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