Political Liberalism. Neutrality and the Political

Abstract. The paper examines the current discussion in liberalism around the issue of the "neutrality" of the state. It scrutinizes the "political liberalism" defended by John Rawls and Charles Larmore and shows that the consequence of their approach is to evacuate the dimension of "the political" from the idea of a well-ordered society. By presenting the exclusions existing in their model of liberal society as the product of free agreement resulting from rational procedures, "political liberals" offer us a picture in which antagonism, violence and power have only disappeared because they have been made invisible. The consequence is to leave liberalism unable to conceptualize power and antagonism. The paper concludes that there cannot be such a thing as a "neutral justification of the neutrality of the state" (Larmore 1987) and that a pluralist perfectionist perspective like the one proposed by Joseph Raz offers a more adequate way to envisage the specificity of modern pluralist democracy.     

Turf wars: Using social media network analysis to examine the suspected astroturfing campaign for the Adani Carmichael Coal mine on Twitter

This article uses social media network analysis (SMNA) to examine whether there was an astroturfing campaign on Twitter in support of the Adani Carmichael coal mine in 2017. It shows that SMNA can be used to visualize and analyze outsider lobbying activity in issue arenas and is capable of identifying networks of fake opinion. This study found that in April 2017, there was a small network of accounts that made a series of suspiciously similar pro‐Adani tweets that could be considered a form of duplicitous lobbying. However, this study concludes that these posts were likely a weak influence on public opinion in Australia and largely ineffectual as a lobbying tactic. Nevertheless, this analysis shows how communitas public interests can be subverted by covert social media campaigns used in support of corporatas goals, as well as the role digital research methods can play in protecting the integrity on public debates by exposing disingenuous actors.     

Fusing algorithms and analysts: open-source intelligence in the age of ‘Big Data’

In the age of ‘Big Data’, the potential value of open-source information for intelligence-related purposes is widely recognised. Of late, progress in this space has increasingly become associated with software that can expand our ability to gather, filter, interrelate and manipulate data through automated processes. The trend towards automation is both innovative and necessary. However, techno-centric efforts to replace human analysts with finely crafted algorithms across the board, from collection to synthesis and analysis of information, risk limiting the potential of OSINT rather than increasing its scope and impact. Effective OSINT systems must be carefully designed to facilitate complementarity, exploit the strengths, and mitigate the weaknesses of both human analysts and software solutions, obtaining the best contribution from both. Drawing on insights from the field of cognitive engineering, this article considers at a conceptual level how this might be achieved.     

Drug markets in the community: a London borough case study

This paper explores the characteristics of local drugs markets through the examination of a single London borough case study. The picture that emerges in a borough not known for having a ‘drugs problem’ is of an entrenched, thriving and widespread drugs economy. Crucially, it is embedded within the local communities. Most worryingly, crack cocaine is being dealt in 15 out of 16 wards, with the front-line dealing predominantly carried out by youths as young as 15. Indeed, there are signs that the market has reached saturation point, while law enforcement merely scratches the surface. These findings reinforce the view that studies of organised crime must be sensitive to the local impacts of global markets, and that public policy debates about the responses to illegal drugs markets must be renewed and refreshed.     

Analysis and Discrimination of Single‐Layer White Architectural Paint Samples,

Comparative analyses of 50 single‐layer white architectural paints were conducted to determine the discrimination power using standard techniques and to provide a basis for assessing significance when paints with limited features are not discriminated. Utilizing Fourier transform infrared spectroscopy (FTIR), 68 undifferentiated pairs resulted, yielding a discrimination of 94.45%. Adding stereomicroscopy, scanning electron microscopy (SEM) with energy dispersive spectroscopy (EDS) and backscatter electron (BSE) imaging, and pyrolysis‐gas chromatography/mass spectrometry (Py‐GC/MS), the overall discrimination was 99.35%. The study included blind verification replicates, which resulted in the only pairs without indications of physical or chemical differences. The remaining groups of undifferentiated samples contained subtle differences by at least one technique, but were considered undifferentiated for the discrimination power evaluations. This study demonstrates a high degree of discrimination of single‐layer white architectural paints using methods of analysis often encountered in forensic science laboratories.