How to fight an infodemic
By J. Zarocostas. The Lancet, 2020
1,746 citations recorded by the source corpus.
Subfields: Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/c931cd34b81fe1948942f99e04cee145d0bcd733
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Sociology and Political Science
- J. Roozenbeek
- S. van der Linden
- Fabiana Zollo
- A. M. van der Bles
- A. Freeman
- S. Dryhurst
- Gabriel Recchia
- J. Kerr
Citations in the corpus
- The COVID-19 social media infodemic (2020, background): “The term infodemic [2, 3] has been coined to outline the perils of misinformation phenomena during the management of virus outbreaks [4, 5], since it could even speed up the epidemic process by influencing and fragmenting social response [6].”
- A review of modern technologies for tackling COVID-19 pandemic (2020, background): “Though national and worldwide associations have utilized social media platforms to communicate with the general population, but apparently this is leading to a crisis in which populaces can become overwhelmed with information, and the propagation of misinformation is progressively common. WHO's reac”
- Information overload and fake news sharing: A transactional stress perspective exploring the mitigating role of consumers’ resilience during COVID-19 (2021, background): “…Services 61 (2021) 102555 pandemic is that misinformation regarding COVID-19 can have disastrous effects on consumers’ behavioural choices and even pose serious threats to consumers’ health, such as the false proposal that ingesting disinfectant can protect against COVID-19 (Zarocostas, 2020).”
- Mapping the Landscape of Artificial Intelligence Applications against COVID-19 (2020, background): “…Epidemics (EPI-WIN) platform for sharing information with key stakeholders, and is also working with social media and internet search companies to track the spread of specific rumors and ensure that WHO content is displayed at the top of searches for terms related to the virus (Zarocostas, 2020).”
- Social media influence in the COVID-19 Pandemic (2020, background): “…more than 8,000 papers in PubMed with the word “CO-VID-19” (17), which tells us about the tsunami of information in less than 4 months since its appearance in China; with all the attention poured into the media, the avalanche of data becomes unaffordable, something also called “Infodemia” (18, 19).”
- The information impact of network media, the psychological reaction to the COVID-19 pandemic, and online knowledge acquisition: Evidence from Chinese college students (2020, neutral): “…a novel coronavirus pneumonia conference held in 2020, the WHO presented the concept of an “infodemic,” discussing how, during the pandemic, we are not only fighting the virus but also an information pandemic (Rajapathirana & Hui, 2018; Ricciardi, Zardini, & Rossignoli, 2018; Zarocostas, 2020).”
- Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective (2020, positive): “In response to the infodemic, a significant number of resources were directed to curb the spread of misinformation; to ensure the availability of reliable information about COVID-19 to the public (Zarocostas, 2020).”
- A review of educational responses to the “post-truth” condition: Four lenses on “post-truth” problems (2020, background): “Although misinformation and rumors about diseases were common also in the Middle Ages, social media has amplified and accelerated this phenomenon, creating new challenges for public health communicators (Zarocostas, 2020).”
- An exploratory study of COVID-19 misinformation on Twitter (2020, neutral): “Misinformation on COVID-19 appears to be spreading rapidly on social media [3].”
- Growing polarization around climate change on social media (2021, background): “Historically, the dominant focus of these studies has been political polarisation in the United States and Europe [20, 23], with a recent shift towards studying the Covid-19 discussion [17, 21, 22].”
- Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review (2022, background): “In many cases, the latter have been observed due to the pervasive dissemination of false news that has caused further disruption for businesses and everyday life (Verma & Gustafsson, 2020), to the tune of leading to what has been termed as an ‘infodemic’, spreading through online and mainstream medi”