Neural correlates of unfairness perception depend on who is the target of the unfair treatment. These previous findings suggest that the activation of medial prefrontal cortex (MPFC) is related to unfairness perception only when the subject of the measurement is also the person affected by the unfair treatment. We aim at demonstrating the specificity of MPFC involvement using transcranial direc...

Humans are tremendously sensitive to unfairness. Unfairness provokes strong negative emotional reactions and influences our subsequent decision making. These decisions might not only have consequences for ourselves and the person who treated us unfairly but can even transmit to innocent third persons--a phenomenon that has been referred to as generalized negative reciprocity. In this study we a...

Although researchers have focused on different aspects to explain the success of populist movements, perceptions unfairness continue highly overlooked. Despite difficulty in finding evidence, I intend elucidate growing unfairness, anger it causes, and its impact electoral radical left right movements by investigating spread meritocracy discourse ideological repositioning political parties. argu...

In customer or labor markets raising prices or cutting wages is perceived as unfair if it results from the exploitation of shifts in demands. In a series of manipulations we show that adding an alternative to the original choice set alters the perception of fairness of the final outcome. Adding a worse alternative lowers the perception of unfairness, whereas adding a better alternative raises t...

Our research is a variant of the third party punishment game that we call Solomon’s Game. The main feature of this game is that players can not only punish unfair people but also help those individuals who are the victims of that unfairness. The aim of this experiment is to compare the human tendency to punish unfair behavior to the desire to help victims of that unfairness, in presence of a bu...

Recent studies have shown that recommendation systems commonly suffer from popularity bias. Popularity bias refers to the problem popular items (i.e., frequently rated items) are recommended while less rarely or not at all. Researchers adopted two approaches examining bias: (i) users’ perspective, by analyzing how far a system deviates user’s expectations in receiving items, and (ii) amount of ...