This paper investigates the use of ‘lexical bundles’ in two broad corpora of journalistic writing. The aim of this study is to compare the use of lexical bundles in the two domains, one consisted of newspaper articles written in English and published in England and the other one comprised of newspaper articles written in Persian from Iranian publications. For this purpose, the frequency...

The technology that allows readers to post anonymous online comments on newspaper websites gives readers unprecedented opportunities to participate, but poses challenges to the journalistic value of transparency, practice of gatekeeping, and conception of expertise. This nationwide survey of 583 U.S. journalists explores whether the technology has affected their work practices, workplaces, or n...

The abstract aims to connect various fields of knowledge, including journalism, information sciences, and human cognition. It analyzes Recommendation Systems (RS) on the Web in order to understand how they are changing user-experiences and, consequently, affecting the fundamental structures of journalism. Today’s networks are decentralized with few barriers to entry. They provide new ways of co...

This paper describes a general framework for measuring text reuse. This term is used to describe how content from a single or multiple number of known sources can be reused either verbatim (word-for-word copy) or otherwise rewritten depending upon factors influencing the creation of a new document. These may include reduction/ increase in length, change of style, simplification of content, shif...

Public Good Software’s products match journalistic articles and other narrative content to relevant charitable causes and nonprofit organizations so that readers can take action on the issues raised by the articles’ publishers. Previously an expensive and laborintensive process, application of machine learning and other automated textual analyses now allow us to scale this matching process to t...