Publishing Industry Biases
Journal rankings biases are based on incomplete data. They can be and are manipulated. They cannot be a measure of the quality of any article.
Reviewer biases of mainstream scientific publications against Global South papers of equivalent quality to a Global North journal.
Editor selection for publication biases based on, for example, lack of English "proficiency".
Coverage biases: selection of journal to be indexed in mainstream scientific databases based on colonialist practices e.g. English language journal home page, citedness of journal articles in SCOPUS, academic contribution to the field.
Research biases
Searching biases: using only mainstream academic databases or resources, not including searching via search engines for grey literature and excluding Global South databases and resources.
Selection biases: selecting only western authors, well known authors being cited more ("hallo effect").
Citation biases: selecting most cited papers for example or papers from high ranking journals.
Search Engine and Gen AI Algorithm Biases
Racism, sexism and fascism
How AI reduces the world to stereotypes
Rest of World analysed 3,000 AI images to see how image generators visualize different countries and cultures
Google, Microsoft, and Perplexity Are Promoting Scientific Racism in Search Results
Algorithms of Oppression : How Search Engines Reinforce Racism by Safiya Noble
Musk’s AI bot Grok blames ‘programming error’ for its Holocaust denial - Grok doubted 6 million death toll, days after peddling conspiracy theory of ‘white genocide’ in South Africa