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It has a low veracity.
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A panel of statistical experts from UvA that embarked on a second, more comprehensive investigation found "strong evidence for low veracity" of the results in all three papers, as well as in five others.
Due to this low Veracity, these data sets would also lack Value as well, further reducing their relevancy.
The investigation found "'strong evidence for low veracity' of the results in eight of Förster's articles, according to a UvA press release issued [on Tuesday] a term that appears to suggest that he may have made up his results".
Data gathered from the population through social media could possibly have low Veracity leading to low Value, but techniques for extracting the useful information from social media (such as Twitter posts), this line of data can also have Big Value.
An investigative panel has found "strong evidence for low veracity" of the results in eight of Förster's articles, according to a UvA press release issued today a term that appears to suggest that he may have made up his results.
As previously mentioned above, the challenge with social media data is that although it is clearly High Volume, Velocity, and Variety, it could have both low Veracity and Value (data coming in could be unreliable, as discussed by Hay et al. [52]).
How low a low?
It is not a lie, but a veracity that must be screamed in terror.
"The minute you have information on a map, it gives it a veracity that wasn't there beforehand".
If you're ever unsure of a seller's veracity, why take a risk?
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com