An anti-infodemic virtual center for the Americas

被引:7
作者
Brooks, Ian [1 ]
D'Agostino, Marcelo [2 ]
Marti, Myrna [2 ]
McDowell, Kate [1 ]
Mejia, Felipe [2 ]
Betancourt-Cravioto, Miguel [2 ]
Gatzke, Lisa [3 ]
Hicks, Elaine [4 ]
Kyser, Rebecca [1 ]
Leicht, Kevin [5 ]
dos Santos, Eliane Pereira [2 ]
Saw, Jessica Jia-Wen [3 ]
Tomio, Ailin [6 ]
Saiso, Sebastian Garcia [2 ]
机构
[1] Univ Illinois, Ctr Hlth Informat, Sch Informat Sci, Champaign, IL 61820 USA
[2] Pan Amer Hlth Org, Washington, DC USA
[3] Univ Illinois, Natl Ctr Supercomp Applicat, Urbana, IL USA
[4] Tulane Univ, Rudolph Matas Lib Hlth Sci, Hlth Sci Ctr, New Orleans, LA USA
[5] Univ Illinois, Dept Sociol, Urbana, IL USA
[6] World Bank, Mind Behav & Dev Unit, Washington, DC USA
来源
REVISTA PANAMERICANA DE SALUD PUBLICA-PAN AMERICAN JOURNAL OF PUBLIC HEALTH | 2023年 / 47卷
关键词
Public Health Informatics; social media; artificial intelligence; COVID-19; communication; Americas;
D O I
10.26633/RPSP.2023.5
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The Pan American Health Organization/ World Health Organization (PAHO/WHO) Anti-Infodemic Virtual Center for the Americas (AIVCA) is a project led by the Department of Evidence and Intelligence for Action in Health, PAHO and the Center for Health Informatics, PAHO/WHO Collaborating Center on Information Systems for Health, at the University of Illinois, with the participation of PAHO staff and consultants across the region. Its goal is to develop a set of tools-pairing AI with human judgment-to help ministries of health and related health institutions respond to infodemics. Public health officials will learn about emerging threats detected by the center and get recommendations on how to respond. The virtual center is structured with three parallel teams: detection, evidence, and response. The detection team will employ a mixture of advanced search que-ries, machine learning, and other AI techniques to sift through more than 800 million new public social media posts per day to identify emerging infodemic threats in both English and Spanish. The evidence team will use the EasySearch federated search engine backed by AI, PAHO's knowledge management team, and the Librar-ian Reserve Corps to identify the most relevant authoritative sources. The response team will use a design approach to communicate recommended response strategies based on behavioural science, storytelling, and information design approaches.
引用
收藏
页数:11
相关论文
共 20 条
[1]   Towards psychological herd immunity: Cross-cultural evidence for two prebunking interventions against COVID-19 misinformation [J].
Basol, Melisa ;
Roozenbeek, Jon ;
Berriche, Manon ;
Uenal, Fatih ;
McClanahan, William P. ;
van der Linden, Sander .
BIG DATA & SOCIETY, 2021, 8 (01)
[2]   Latent Dirichlet allocation [J].
Blei, DM ;
Ng, AY ;
Jordan, MI .
JOURNAL OF MACHINE LEARNING RESEARCH, 2003, 3 (4-5) :993-1022
[3]  
Callaway Jessica, 2021, Medical Reference Services Quarterly, V40, P90, DOI [10.1080/02763869.2021.1873627, 10.1080/02763869.2021.1873627]
[4]  
Compton J, 2012, SAGE HDB PERSUASION
[5]  
DAgostino M, 2017, REV PANAM SALUD PUBL, V41, P115
[6]  
Dias P, 2014, AMBITOS REV INT COMU
[7]   Can you believe it? An investigation into the impact of retraction source credibility on the continued influence effect [J].
Ecker, Ullrich K. H. ;
Antonio, Luke M. .
MEMORY & COGNITION, 2021, 49 (04) :631-644
[8]   Infodemiology: The epidemiology of (mis)information [J].
Eysenbach, G .
AMERICAN JOURNAL OF MEDICINE, 2002, 113 (09) :763-765
[9]   Assessing the risks of 'infodemics' in response to COVID-19 epidemics [J].
Gallotti, Riccardo ;
Valle, Francesco ;
Castaldo, Nicola ;
Sacco, Pierluigi ;
De Domenico, Manlio .
NATURE HUMAN BEHAVIOUR, 2020, 4 (12) :1285-1293
[10]   The COVID-19 Infodemic [J].
Garcia-Saiso, Sebastian ;
Marti, Myrna ;
Brooks, Ian ;
Curioso, Walter H. ;
Gonzalez, Diego ;
Malek, Victoria ;
Medina, Felipe Mejia ;
Radix, Carlene ;
Otzoy, Daniel ;
Zacarias, Soraya ;
dos Santos, Eliane Pereira ;
D'Agostino, Marcelo .
REVISTA PANAMERICANA DE SALUD PUBLICA-PAN AMERICAN JOURNAL OF PUBLIC HEALTH, 2021, 45