Facebook, in their announcement, mentioned that NLLB would support 25 billion translations served daily on Facebook News Feed, Instagram, and other platforms. A Facebook user receives auto-translated (machine-translated) content on his news feed based on the language setting and translation preferences updated on the platform. Multilingual translation models are not free from errors. These errors are typically caused by a lack of adequate context or domain-specific words, ambiguity or sarcasm in the text, incorrect dialect, missing words, transliteration instead of translation, incorrect lexical choice, and differences in grammatical properties between languages. Such errors, may, on some occasions, lead to misinformation about the text translated. This paper examines instances of misinformation caused by mistranslations from English to Tamil in the Facebook news feed.