‘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.

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.

Invested truth in World Bank education policy: The exclusion of educators' perspectives in the future of education

The objective of the paper is to critically review the positioning of teachers in the World Bank's Education Sector Strategy 2020. The review is framed through the lens of Habermas' communicative action theory (CAT) to show how teachers' truth, rightfulness and truthfulness are obfuscated in the new policy. Habermas centres notions of democratization and participation as key requirements for representative systems. However, as the new strategy takes shapes, what is more apparent is the further marginalization of educators and education scholars from education reforms. The review suggests that education and teachers' work is becoming further embedded in broader social and economic systems. This is despite extensive consultations that are a feature of the new strategy and its development. The paper raises questions about the work of teachers and their place within education systems whose development is influenced by agencies such as the World Bank. As more of the analytical and intellectual tasks associated with education and teachings are being taken over agencies and organisations, t...