We all know that misinformation and disinformation abounds and is currently running rampant. Thankfully there are also some very useful resources that can really help: To be specific, I mean the fact-checkers. Well-known examples of organizations that are wholly and completely focused on fact-chec...
Furthermore, our focus is on individual examples of misinformation, and not on organized disinformation campaigns (e.g., by the Russian Internet Research Agency, or campaigns relating to global warming or fraud in the 2020 US Presidential Election). Why Do People Fall for Fake News? When ...
Since college students are frequent users of social media, they are particularly likely to be exposed to fake news. A survey was conducted with 63 undergraduate students in which they identified and evaluated examples of both fake and real news stories and reported their associated information ...
1. Multiple Choice 30 sec 1 pt Examples of fake news include: Rulers claiming they have won battles they actually lost Communities spreading rumours about people or groups they don’t like Politicians lying about the behaviour of their opponents Businesses advertising incorrect science to get...
approach where the “vaccine” is comprised of a weak dose of exactly the same (mis)information (refutational-same), the Bad News Game exposes participants to doses of weakened strategies and participants are subsequently tested using a range of different deception examples (refutational-different)...
1B–E. The topology of the propagation network of fake news and real news can be seen to be different. For example, the number of layers in fake news (Fig. 1B and 1D) is typically larger than that of real news (Fig. 1C and 1E). Additionally, from looking at various examples of...
When looking at what constitutes “fake news” and how it gets shared onsocial media, there are two kinds of false information to be aware of—misinformation and disinformation. Researchers at Indiana University found thesetwo types of information often go viralbecause “information overload and use...
I will give you two titles, and you will tell me which one is fake news. Ready? Here we go: "Nancy Pelosi diverting social security money for the impeachment inquiry" "FEMA arrives in tornado-stricken Kentucky – with vaccinations" Well…it turns out that both headlines were examples of ...
Furthermore, to address the common issue of class imbalance in fake news datasets, we incorporate focal loss alongside the conventional binary cross-entropy loss [14]. This helps to focus the learning process on harder-to-classify examples, thereby improving the model's robustness and accuracy. ...
We next discuss two illustrative examples related to the COVID-19 treatment. More generally, Table 7 presents the confusion matrix for the random forest classification of viral fake news in the hold out sample. This matrix is a contingency table based on cases predicted as positive/negative (i...