Facebook connects billions of people globally, enabling individuals to share information on pages organized around common interests.
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Adapting and Extending a Typology to Identify Vaccine Misinformation on Twitter
One of the greatest risks to human health comes from the deluge of misleading, conflicting, and manipulated information currently available online
Not sure? Handling hesitancy of COVID-19 vaccines
From the moment the first COVID-19 vaccines are rolled out, there will need to be a large fraction of the global population ready in line. It is therefore crucial to start managing the growing global...
In February 2020, the World Health Organization announced an ‘infodemic’ that accompanied the global pandemic of COVID-19.
Covid-19 infodemic reveals new tipping point epidemiology and a revised R formula
Many governments have managed to control their COVID-19 outbreak with a simple message: keep the effective 'R number' R1 to prevent widespread contagion and flatten the curve. This...
Hidden order in online extremism and its disruption by nudging collective chemistry
Disrupting the emergence and evolution of potentially violent extremist movements is a crucial challenge. In recent months, Facebook has designated the new U.S. Boogaloo movement a violent...
The COVID-19 Social Media Infodemic Reflects Uncertainty and State-Sponsored Propaganda
Significant attention has been devoted to determining the credibility of online misinformation about the COVID-19 pandemic on social media.
In 2015, the dynamic algorithmic pricing used by the Princeton Review was found to be charging Asian-Americans higher prices for their test-preparation services twice as often as non-Asian customers...
Content analysis of Persian/Farsi Tweets during COVID-19 pandemic in Iran using NLP
As COVID-19 has rapidly and widely spread in the United States and globally, this now pandemic is shaking up all aspects of daily life in all countries affected in an unforeseen manner.
Quantifying COVID-19 content in the online health opinion war using machine learning
A huge amount of potentially dangerous COVID-19 misinformation is appearing online. Here we use machine learning to quantify COVID-19 content among online opponents of establishment health guidance,...