7 results for "Taboada, Maite"
Showing 1–7 · 0.83 seconds · RSS
-
Journal Article Full text
Reported speech and gender in the news: Who is quoted, how are they quoted, and why it matters
News stories have a well-defined generic structure, consisting of components such as headline, lede, and body, with reported speech a prominent feature, especially in hard news stories. Reported speech serves multiple purposes, from providing evidentiality and intertextuality to contributing to the…
-
Journal Article Full text
Characterising Online News Comments: A Multi-Dimensional Cruise Through Online Registers
News organisations often allow public comments at the bottom of their news stories. These comments constitute a fruitful source of data to investigate linguistic variation online; their characteristics, however, are rather understudied. This paper thus contributes to the description of online news…
-
Journal Article Full text
Gender Bias in the News: A Scalable Topic Modelling and Visualization Framework
We present a topic modelling and data visualization methodology to examine gender-based disparities in news articles by topic. Existing research in topic modelling is largely focused on the text mining of closed corpora, i.e., those that include a fixed collection of composite texts. We showcase a…
-
Book
https://maitetaboada.github.io/python_text_analysis/
This book is an introduction to python through practical applications in text analysis, especially for the humanities and social sciences.
-
Journal Article Full text
The SFU Opinion and Comments Corpus: A Corpus for the Analysis of Online News Comments
We present the SFU Opinion and Comments Corpus (SOCC ), a collection of opinion articles and the comments posted in response to the articles. The articles include all the opinion pieces published in the Canadian newspaper The Globe and Mail in the 5-year period between 2012 and 2016, a total of…
-
Book Full text
Introduction to the special issue on Language in Social Media: Exploiting discourse and other contextual information
Social media content is changing the way people interact with each other and share information, personal messages, and opinions about situations, objects, and past experiences. Most social media texts are short online conversational posts or comments that do not contain enough information for…
-
Journal Article Full text
The Gender Gap Tracker: Using Natural Language Processing to measure gender bias in media
We examine gender bias in media by tallying the number of men and women quoted in news text, using the Gender Gap Tracker, a software system we developed specifically for this purpose. The Gender Gap Tracker downloads and analyzes the online daily publication of seven English-language Canadian news…