Algorithms fail sometimes and they might not detect a fake news source.

University of Delaware

Social media platforms can alter algorithms to hinder the spread of misinformation and to create a distinction between how legitimate news sources and unreliable news sources appear in a person’s feed. This may also involve suggesting correct information that refutes misinformation that someone has viewed as suggested viewing
Problem: algorithms fail sometimes, they might not detect a fake news source. 

Solution to Misinformation: Algorithmic

van der Linden, S., & Roozenbeek, J. (2021). Psychological Inoculation Against Fake News. In R. Greifeneder, M. E. Jaffé, E. J. Newman, & N. Schwarz, The Psychology of Fake News: Accepting, Sharing, and Correcting Misinformation. Routledge. https://www.taylorfrancis.com/books/9780429295379

Psychological Inoculation Against Fake News

This study presents a possible solution to the rapid proliferation of misinformation on social media sites. The article suggests that social media websites could implement a sporadic accuracy nudge to encourage users to consider accuracy before sharing an article. This would be appealing to users because content would not need to be censored, limiting the need for algorithms that could fail. Instead, crowdsourcing could be used to identify false headlines. 

Implications of the Pennycook et al. COVID-19 Misinformation Study

WiseDex is an upcoming social media policy generation and application tool that will guide moderation decisions related to posts that might share questionable content.

WiseDex

Limitation of Algorithmic Correction

•	Algorithmic and social corrections are similarly effective in limiting misperceptions

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