This research examines the moderating roles of self-esteem level and self-esteem instability in the relationship between perceived unfair treatment and depressive mood. Based on the assumption that unfairness is a threat to one's social standing and self-esteem, the authors proposed that individuals with highly fragile self-esteem (i.e., the combination of unstable and high self-esteem) react m...

Data have become a fundamental element of the management and productive infrastructures our society, fuelling digitization organizational decision-making processes at an impressive speed. This transition shows lights shadows, “bias in-bias out” problem is one most relevant issues, which encompasses technical, ethical, social perspectives. We address this field research by investigating how bala...

In this paper, we propose a new scheme to tackle the “beat down” unfairness problem in optical burst switching networks. In the new scheme, the control packets of bursts with higher preemptive metric value are allowed to preempt the channel resources reserved earlier for bursts with lower preemptive value. However, the control packets of preempted bursts continue to make wasted channel reservat...

We propose a combined uplink/downlink opportunistic scheduling algorithm for infrastructure WLANs. In the presence of both uplink and downlink flows, an infrastructure WLAN suffers from the uplink/downlink unfairness problem which severely decreases the throughput of the access point (AP). We resolve the unfairness by maintaining a separate queue and a backoff timer for each associated mobile s...

The back-off algorithm is the key point that directly affects the message transmission delay, during the design of the MAC layer of the vehicular ad hoc network communication protocol. However, thanks to the back-off time is inversely proportional to the seizing channel ability of the nodes, the unreasonable choice of the contention window usually leads to the nodes “starvation”. This paper inv...

We study fairness in collaborative-filtering recommender systems, which are sensitive to discrimination that exists in historical data. Biased data can lead collaborative filtering methods to make unfair predictions against minority groups of users. We identify the insufficiency of existing fairness metrics and propose four new metrics that address different forms of unfairness. These fairness ...

Recent research has shown that individuals are prepared to incur costs to punish non-cooperators, even in one-shot interactions. However, why would people punish non-cooperators with no apparent benefits for the punishers themselves? This behavior is also known as altruistic punishment. When defection is discovered, an individual evaluates this act as unfair, which could result in anger. We arg...

In this paper, we consider two fairness problems that occur in the infrastructure network (fairness between TCP uplink/downlink flows and fairness between competing TCP uplink flows). A large number of existing works have studied the TCP fairness issues and greatly solved the TCP unfairness problems. However, these solutions suffer from the drawback of TCP throughput degradation even though the...