Hay critica de arquitectura en la red?

 Thanks to the powerful internet, voices that speak about architecture increase every day. This super-populated architectural Speaker’s Corner, is so noisy that it’s even difficult to listen what each speaker is saying. The possibility of saying has turned up to be more important than the relevance of what is actually said. It´s no longer important who says each thing. Our hope is that among all this shouting and screaming we’ll be able to extract something intelligible and able to construct a discourse for architecture. Is this the new format of architectural critic? Transparency is the fundamental value that rules over information transmission in the new digital universe. Transparency that intends to minimise all negativity. By definition it’s positive, operational, flat and sameness. It offers undoubtable advantages in terms of speed, accessibility and amount of information. However, theoretical knowledge must, also by definition, include negativity. And negativity slowens, blocks and limits. The goal of theoretical critic is to segregate, separate and differentiate. It searches a certain truth that is neither transparent nor positive. It must also operate and define what is false. Simple accumulation of information and communication doesn't search or achieve a true conclusion. This paper outlines a taxonomy of the different voices speaking about architecture in the internet. Even though these architectural nano-discourses declare explicitly that they don’t want to replace traditional critic, the role they play particularly in architecture education, is very similar. And their unequivocal search for transparency based on freedom of speech and information, pulls them away from the capacities of traditional critic, of course in terms of format, but also for reason of much deeper importance.

Opening up a can of worms: how do decision-makers decide when witnesses are telling the truth?

Correctly determining witness credibility is integral to a fair trial. Assessments of credibility made by the triers of fact are made, amongst other things, by reference to behavioural stereotypes that are commonly thought to be associated with lying and truth-telling. These stereotypes are worthless but pervasive. In this study, potential jurors were given information such as would be given by way of judicial direction and/or expert testimony on those behavioural indicia that are useful in detecting deception. Major changes in perceptions of what does and does not work were found. This has significant implications for the conduct of criminal trials. Recommendations are presented which, it is argued, can be of real, practical, assistance in enabling decision-makers to assess the credibility of witnesses. © 2013 The Australian and New Zealand Association of Psychiatry, Psychology and Law.

‘A cataclysm of truth from the crisis of falsehood’: reading Habermas on Calvino

Interest in the possibility of a Habermasian approach to literary criticism has recently been sparked by several book-length contributions from scholars working in the field of Frankfurt School Critical Theory. This article seeks to clarify the conceptual stakes in the current debate, which concern whether literature makes truth claims or merely imaginatively discloses new perceptions with a truth potential, by returning to Habermas’s most extended encounter with a literary work since the 1970s. Against the background of the philosophical issues, I re-read to Calvino’s highly self-reflexive If on a Winter’s Night a Traveller to show that in The Philosophical Discourse of Modernity, Habermas has managed to get everything backwards. Literature here reads philosophy alright, but not in the sense of the ludic deconstruction of rational argumentation into rhetorical play that Habermas supposes. Using the notion of an ontological poetics of self-reflexive literature, and with some help from Lacanian psychoanalysis, I interpret Calvino’s novel as a sustained meditation on the connection between authentic literature and the desire to read. In this light, it not only looks like Habermas has missed his polemical target, but, also, and more significantly, it becomes clear that abandonment of the link between literature and truth is misguided.

Surveillance, responsibility and control: an analysis of government and industry discourses about 'problem' and 'responsible' gambling

Background: Discussions of gambling have traditionally focused on ideas of “problem” and “responsible” gambling. However, few studies have examined how Institutions attempt to exert social control over gamblers in order to promote so-called “responsible” behaviour. In this study, we examine the way “problem” and “responsible” gambling are discussed by Australian governments and the gambling industry, using a theoretical framework based on the work of Foucault.

Method: We conducted a thematic analysis of discourses surrounding problem and responsible gambling in government and gambling industry websites, television campaigns and responsible gambling materials.

Results: Documents distinguished between gambling, which was positive for the community, and problem gambling, which was portrayed as harmful and requiring medical intervention. The need for responsible gambling was emphasised in many of the documents, and reinforced by mechanisms including self-monitoring, self-control and surveillance of gamblers.

Conclusions: Government and industry expect gamblers to behave “responsibly”, and are heavily influenced by neoliberal ideas of rational, controlled subjects in their conceptualisation of what constitutes “responsible behaviour”. As a consequence, problem gamblers become constructed as a deviant group. This may have significant consequences for problem gamblers, such as the creation of stigma.

6 million spam tweets: a large ground truth for timely Twitter spam detection

Twitter has changed the way of communication and getting news for people's daily life in recent years. Meanwhile, due to the popularity of Twitter, it also becomes a main target for spamming activities. In order to stop spammers, Twitter is using Google SafeBrowsing to detect and block spam links. Despite that blacklists can block malicious URLs embedded in tweets, their lagging time hinders the ability to protect users in real-time. Thus, researchers begin to apply different machine learning algorithms to detect Twitter spam. However, there is no comprehensive evaluation on each algorithms' performance for real-time Twitter spam detection due to the lack of large groundtruth. To carry out a thorough evaluation, we collected a large dataset of over 600 million public tweets. We further labelled around 6.5 million spam tweets and extracted 12 light-weight features, which can be used for online detection. In addition, we have conducted a number of experiments on six machine learning algorithms under various conditions to better understand their effectiveness and weakness for timely Twitter spam detection. We will make our labelled dataset for researchers who are interested in validating or extending our work.