The power of malicious gossip

This paper focuses on malicious workplace gossip from the perspective of those targeted by this dark form of organisational communication. Findings from a large exemplarian action research project are reported that suggest malicious gossip can be an influential form of power that strongly contributes to counterproductive organisational behaviour. The discussion draws upon the emergent themes from the research to highlight the negative consequences of malicious gossip for those targeted and their organisations, and in so doing, elaborates on the phenomenon of workplace mobbing. This research highlights the importance of recognising gossip as an effective, though dark, form of power and the value of rational discourse for improving organisational communication.

Gossip we can trust: Defamation law and non-fiction

Drawing on two case studies, this article considers the allegation of a disgruntled author: ’Defamation was framed to protect the reputations of 19th century gentlemen hypocrites'. The first case study considers the litigation over Bob Ellis' unreliable political memoir, ’Goodbye Jerusalem', published by Random House. The second case study focuses upon the litigation over the allegation by Media Watch that Richard Carleton had plagarised a documentary entitled ’Cry from the Grave'. The article considers the meaning of defamatory imputations, the range of defences, and the available remedies. It highlights the competing arguments over the protection of reputation and privacy, artistic expression, and the freedom of speech. This article concludes that defamation law should foster ’gossip we can trust'.

Asynchronous Gossip for Averaging and Spectral Ranking

We consider two variants of the classical gossip algorithm. The first variant is a version of asynchronous stochastic approximation. We highlight a fundamental difficulty associated with the classical asynchronous gossip scheme, viz., that it may not converge to a desired average, and suggest an alternative scheme based on reinforcement learning that has guaranteed convergence to the desired average. We then discuss a potential application to a wireless network setting with simultaneous link activation constraints. The second variant is a gossip algorithm for distributed computation of the Perron-Frobenius eigenvector of a nonnegative matrix. While the first variant draws upon a reinforcement learning algorithm for an average cost controlled Markov decision problem, the second variant draws upon a reinforcement learning algorithm for risk-sensitive control. We then discuss potential applications of the second variant to ranking schemes, reputation networks, and principal component analysis.

Rethinking gossip and scandal in healthcare organizations

Purpose – The purpose of this viewpoint paper is to argue that gossip is a neglected aspect of organizational communication and knowledge, and an under-used management resource. Design/methodology/approach – The paper challenges mainstream managerial assumptions that gossip is trivial or tainted talk which should be discouraged in the workplace. Instead, gossip is re-framed at an organizational level of analysis, which provides the opportunity for relational knowledge about systemic failure and poor practice in healthcare to surface. Findings – Rather than simply viewing gossip as an individual behaviour and interpersonal process, it is claimed that organizational gossip is also a valuable early warning indicator of risk and failure in healthcare systems. There is potentially significant value in re-framing gossip as an aspect of organizational communication and knowledge. If attended to (rather than neglected or silenced) gossip can provide fresh insights into professional practice, decision-making and relational leadership. Originality/value – This paper offers a provocative challenge to mainstream health organization and management thinking about gossip in the workplace. It offers new ways of thinking to promote patient safety, and prevent the scandals that have plagued healthcare organizations in recent years.

Learning communicative competences through celebrity gossip blogs

Resumen basado en el de la publicaci??n

Data dissemination on overlay networks through gossip

Gossip protocols have been analyzed as a feasible solution for data dissemination on peer-to-peer networks. In this thesis, a new data dissemination protocol is proposed and compared with other known gossip mechanisms. Performance evaluation is based on simulation.

Data dissemination over complex networks through gossip

This thesis offers a practical and theoretical evaluations about gossip-epidemic algorithms, comparing those most common in the literature with new proposed algorithms and analyzing their behavior. Tests have been executed using one hundred graphs that has been randomly generated by Large Unstructured NEtwork Simulator (LUNES), a simulation software provided by Parallel and Distributed Simulation Research Group (PADS), of the Department of Computer Science, Università di Bologna and simulated using Advanced RTI System (ARTÌS), based on the High Level Architecture standard. Literatures algorithms have been analyzed and taken as base for new algorithms.

Disseminazioni in reti peer-to-peer attraverso algoritmi di gossip a due fasi

Gli algoritmi di gossip sono utilizzati per la disseminazione di messaggi in una rete peer-to-peer. La tesi tratta lo sviluppo, l'implementazione e l'analisi di quattro nuovi algoritmi di gossip "a due fasi". Gli algoritmi sono stati sviluppati e testati con il simulatore LUNES per poi essere analizzati in vari confronti con gli algoritmi classici dell'ambito, ovvero Fixed Probability e Conditional Broadcast. Le prove sono state effettuate su varie tipologie di grafi, ovvero Random, Scale-free, Small-world e K-Regular.

A century of gossip, or, The real and the seeming /

At head of title: New England life.

Samuel Pepys : administrator, observer, gossip /

Mode of access: Internet.

A little gossip about printing /

Mode of access: Internet.