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1. What Natural Language Generation Means for Authorship and Why We Should Care

   Natural language generation (NLG) – the process wherein computers translate data into readable human languages – has become increasingly present in our modern digital climate. In the last decade, numerous companies specialising in the mass-production of computer-generated news articles have emerged; National Novel Generation Month (NaNoGenMo) has become a popular annual event; #botALLY is used to identify those in support of automated agents producing tweets. Yet NLG has not been subject to any systematic study within the humanities.

   leahhenrickson - 13.08.2018 - 21:09

2. Semiotic Engineering: an HCI Theory That Can Be Adopted for the Analysis of Works of Electronic Literature

   An increasing number of journals and conferences have been publishing articles and critical essays about electronic literature, but still mainly adopting traditional approaches to literary texts, such as close-reading (deeply rooted in the New Criticism trend), or reporting readers’ experiences (in accordance to the Reception Aesthetics). These approaches, however fruitful and well-established in literary analysis as they are, were not originally conceived to study digital texts. Therefore, they systematically fail to grasp specificities of electronic literature, unless the critic goes beyond the limits of the method and adopts other analytical tools as well.

   Jana Jankovska - 26.09.2018 - 15:52