Ranking algorithms are the information gatekeepers of the Internet era. We develop a stylized framework to study the effects of ranking algorithms on opinion dynamics. We consider rankings that depend on popularity and on personalization. We find that popularity driven rankings can enhance...

This paper provides a simple theoretical framework to evaluate the effect of key parameters of ranking algorithms, namely popularity and personalization parameters, on measures of platform engagement, misinformation and polarization. The results show that an increase in the weight assigned to...

Der vorliegende Beitrag betrachtet die wettbewerbs- und medienökonomischen Eigenschaften und Effekte von algorithmischen Such- und Empfehlungssystemen und ihrer Regulierung. Dabei werden nach einer einführenden Klarstellung des Sinns und der Notwendigkeit solcher Systeme in der digitalen Welt...

This article is concerned with the liability of search engines for algorithmically produced search suggestions, such as through Google's ‘autocomplete' function. Liability in this context may arise when automatically generated associations have an offensive or defamatory meaning, or may even...