RESUMEN
The rapid spread of medical rumors and false or misleading information on social media during times of uncertainty is a vexing challenge that threatens public health. Understanding the information ecosystem, social media networks, and the scope of incentives that drive users and social media platforms can provide critical insights for strong coordination between stakeholders and funders to address this challenge. The COVID-19 pandemic created an opportunity to demonstrate the role of media monitoring and counter-messaging efforts in responding to dangerous medical rumors, misinformation, and disinformation. It also highlighted the challenges. The efforts of ThisIsOurShot and VacunateYa to spread accurate health information about COVID-19 and COVID-19 vaccines are described and lessons learned are discussed. These lessons include the need for substantial financial investments at the local and national levels to sustain and scale these types of programs. Examples in other fields that offer a path forward include Information Sharing and Analysis Centers and Public Health Emergency Operations Centers. Understanding the scale and scope of what it takes to address viral medical rumors, misinformation, and disinformation in a networked information environment should inspire elected leaders to consider policy and regulatory reforms. Our transformed information ecosystem requires new public health infrastructure to address information that threatens personal safety and population health.
RESUMEN
Most content consumed online is curated by proprietary algorithms deployed by social media platforms and search engines. In this article, we explore the interplay between these algorithms and human agency. Specifically, we consider the extent of entanglement or coupling between humans and algorithms along a continuum from implicit to explicit demand. We emphasize that the interactions people have with algorithms not only shape users' experiences in that moment but because of the mutually shaping nature of such systems can also have longer-term effects through modifications of the underlying social-network structure. Understanding these mutually shaping systems is challenging given that researchers presently lack access to relevant platform data. We argue that increased transparency, more data sharing, and greater protections for external researchers examining the algorithms are required to help researchers better understand the entanglement between humans and algorithms. This better understanding is essential to support the development of algorithms with greater benefits and fewer risks to the public.
RESUMEN
Since the first case of COVID-19 was identified in the USA in January, 2020, over 46 million people in the country have tested positive for SARS-CoV-2 infection. Several COVID-19 vaccines have received emergency use authorisations from the US Food and Drug Administration, with the Pfizer-BioNTech vaccine receiving full approval on Aug 23, 2021. When paired with masking, physical distancing, and ventilation, COVID-19 vaccines are the best intervention to sustainably control the pandemic. However, surveys have consistently found that a sizeable minority of US residents do not plan to get a COVID-19 vaccine. The most severe consequence of an inadequate uptake of COVID-19 vaccines has been sustained community transmission (including of the delta [B.1.617.2] variant, a surge of which began in July, 2021). Exacerbating the direct impact of the virus, a low uptake of COVID-19 vaccines will prolong the social and economic repercussions of the pandemic on families and communities, especially low-income and minority ethnic groups, into 2022, or even longer. The scale and challenges of the COVID-19 vaccination campaign are unprecedented. Therefore, through a series of recommendations, we present a coordinated, evidence-based education, communication, and behavioural intervention strategy that is likely to improve the success of COVID-19 vaccine programmes across the USA.