Debunking the Misinfodemic: Coronavirus Social Media Contains More, Not Less, Credible Content
Several high-profile sources have focused worldwide attention on the dangers of misinformation about COVID.
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Fact-Enhanced Synthetic News Generation
The advanced text generation methods have witnessed great success in text summarization, language translation, and synthetic news generation. However, these techniques can be abused to generate...
Citizens are asked to buy, and asked to consider to buy, goods of all sizes and all prices, nearly all of the time.
Semantics derived automatically from language corpora contain human-like biases
In this paper researchers show that standard machine learning can acquire stereotyped biases from textual data that reflect everyday human culture. The general idea that text corpora capture...
Does Elite Rhetoric Undermine Democratic Norms?
In this paper, the researchers test the extent to which elite rhetoric can erode democratic norms in the contemporary United States.
State media warning labels can counteract the effects of foreign misinformation
The rise of disinformation campaigns on social media has led platforms to lay out wide-ranging solutions to mitigate foreign interference.
A Multi-Modal Method for Satire Detection using Textual and Visual Cues
Satire is a literary device that writers employ to mock or ridicule a person, group, or ideology by passing judgment on them for a cultural transgression or poor social behavior.
Validating Social Media Monitoring: Statistical Pitfalls and Opportunities from Public Opinion
Social media are a promising new data source for real-world behavioral monitoring.
The intentional spread of falsehoods challenge the basic norms and values upon which institutional legitimacy and political stability depend.
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