Normalize Credibility

[Slashdacoda]

Normalized Credibility of all sources of https://github.com/claimskg/claimskg-extractor/issues/5#issuecomment-826860635

According to the description of https://github.com/claimskg/claimskg-extractor#normalizing-truth-values-ratings-across-fact-checking-websites. The labels are divided into 4 areas. TRUE, FALSE, MIXTURE and OTHER

SEE update: https://github.com/claimskg/claimskg-extractor/issues/11#issuecomment-884053291 and complete overview with example files: https://github.com/claimskg/claimskg-extractor/issues/15

CSV fields:

rating_ratingValue	rating_worstRating	rating_bestRating	rating_alternateName

• [x] Vishvashnews
• [x] Fatabyyano
• [ ] EU vs Disinfo (Disinformation Cases) https://github.com/claimskg/claimskg-extractor/issues/5#issuecomment-884788590
• [x] AAP FactCheck
• [x] Fullfact
• [x] Snopes

[Slashdacoda]

Update:

• [x] rating_alternateName = "Rating from webseite, is the orginal label in EN " = True, False, Other, True, Unproven, Misattributed... Extend with arabig signs: "خادع", "مضلل"... But with translation.
• [x] rating_ratingValue = "Numeric Rating from webseite" = Is there somewhere

rating_worstRating and rating_bestRating remain empty.

Additional related Issue: https://github.com/Slashdacoda/claimskg_generator/issues/3

[Slashdacoda]

all changes done