Empowerment

This entry discusses the various roles of media and communication in terms of empowerment and social change. It does so by focusing on a temporal and historical dimension which relates to innovations in terms of media and communication technologies going from the print-press over radio broadcasting and the internet. Besides this, we also identify a special dimension going from the local to the trans-national, but also exposing media and communication as a space of contention. Finally, a strategic dimension is identified focusing on how political actors and social movements frame issues and attempt to influence, at times successfully at other times less so, the process of meaning making

Journalistic transgressions in the representation of Jeremy Corbyn: from watchdog to attack dog

This research critically assesses the press coverage of Jeremy Corbyn during his leadership bid and subsequent first months as the leader of the United Kingdom’s Labour Party. A content analysis (n = 812) found that the British press offered a distorted and overly antagonistic view of the long-serving MP. Corbyn is often denied a voice and news organisations tended to prize anti-Corbyn sources over favourable ones. Much of the coverage is decidedly scornful and ridicules the leader of the opposition. This analysis also tests a set of normative conceptions of the media in a democracy. In view of this, our research contends that the British press acted more as an attackdog than a watchdog when it comes to the reporting of Corbyn. We conclude that the transgression from traditional monitorial practices to snarling attacks is unhealthy for democracy, and it furthermore raises serious ethical questions for UK journalism and its role in society

When our watchdog becomes a bloodthirsty attackdog, be wary

Jeremy Corbyn has been variously described in the British press as unelectable, comic and highly dangerous. How should a healthy democracy respond to politicians pursuing a different kind of democracy

Journalistic representations of Jeremy Corbyn in the British Press: from "watchdog" to "attackdog"

Academic report on journalistic representations of Jeremy Corbyn

Investigating the reliability of coronal emission measure distribution diagnostics using 3D radiative MHD simulations

Determining the temperature distribution of coronal plasmas can provide stringent constraints on coronal heating. Current observations with the Extreme ultraviolet Imaging Spectrograph onboard Hinode and the Atmospheric Imaging Assembly onboard the Solar Dynamics Observatory provide diagnostics of the emission measure distribution (EMD) of the coronal plasma. Here we test the reliability of temperature diagnostics using 3D radiative MHD simulations. We produce synthetic observables from the models, and apply the Monte Carlo Markov chain EMD diagnostic. By comparing the derived EMDs with the "true" distributions from the model we assess the limitations of the diagnostics, as a function of the plasma parameters and of the signal-to-noise of the data. We find that EMDs derived from EIS synthetic data reproduce some general characteristics of the true distributions, but usually show differences from the true EMDs that are much larger than the estimated uncertainties suggest, especially when structures with significantly different density overlap along the line-of-sight. When using AIA synthetic data the derived EMDs reproduce the true EMDs much less accurately, especially for broad EMDs. The differences between the two instruments are due to the: (1) smaller number of constraints provided by AIA data, (2) broad temperature response function of the AIA channels which provide looser constraints to the temperature distribution. Our results suggest that EMDs derived from current observatories may often show significant discrepancies from the true EMDs, rendering their interpretation fraught with uncertainty. These inherent limitations to the method should be carefully considered when using these distributions to constrain coronal heating.Comment: Accepted for publication on The Astrophysical Journal. 25 pages, 29 figures. Paper version with full resolution images and appendixes can be found at: http://folk.uio.no/bdp/papers/3dEMD_ptesta.pd

Using Markov Models and Statistics to Learn, Extract, Fuse, and Detect Patterns in Raw Data

Many systems are partially stochastic in nature. We have derived data driven approaches for extracting stochastic state machines (Markov models) directly from observed data. This chapter provides an overview of our approach with numerous practical applications. We have used this approach for inferring shipping patterns, exploiting computer system side-channel information, and detecting botnet activities. For contrast, we include a related data-driven statistical inferencing approach that detects and localizes radiation sources.Comment: Accepted by 2017 International Symposium on Sensor Networks, Systems and Securit

The Grizzly, September 1, 2005

Class of 2009 Arrives on Campus • Residence Life Office Hires Three New RDs • Construction Projects Underway • CIE Continues to Attract Attention • Kaleidoscope: Perfect Combination of Style and Function • Left Side of the Hallway, Slow Down • For Sexual Health, Ursinus Students Need Not Look Far • If We Knew Then, What We Know Now: Tips for Freshmen from Experienced Classmates • Opinions: A Day at Citizen\u27s Bank Park; Three Decent Reasons for Approving John Roberts (A Democrat\u27s Opinion); Marching with the Penguins; How to Build a Stronger Facebook Profile • Bears Look to Bounce Back in 2005 • Field Hockey Looks to Defend Title on New Fieldhttps://digitalcommons.ursinus.edu/grizzlynews/1586/thumbnail.jp