Leading social scientists consider cutting-edge quantitative and qualitative methodologies, analyse the logic underpinning an array of approaches to empirical enquiry, and discuss the practicalities of carrying out research in a variety of different contexts.
Department of Methodology Seminar Series
Department seminars take place in COL 8.13 from 12:30 - 14:00 (unless otherwise stated). A sandwich lunch will be provided from 12:15.
Details of future seminars are TBC.
Social and Economic Data Science Seminar Series
Data Science seminars are run in conjunction with the Departments of Mathematics and Statistics. These seminars take place from 16:15 - 17:45 in COL 8.13 (unless otherwise stated).
Speaker: Joshua A. Tucker, Professor of Politics (New York University)
Date: 17th May 2018
Time: 12.30 - 14.00pm
Free sandwich lunch will be provided from 12.15pm.
Trumping Hate on Twitter? Online Hate Speech and White Nationalist Rhetoric in the 2016 US Election Campaign and its Aftermath.
Abstract: To what extent did online hate speech and white nationalist rhetoric on Twitter increase over the course of Donald Trump's 2016 campaign and following his election? The prevailing narrative suggests that Trump's political rise---and his unexpected victory---lent legitimacy to and popularized bigoted rhetoric that was once relegated to the dark corners of the Internet. However, analysis from NYU's Social Media and Political Participation (SMaPP) lab of over 750 million tweets related to the election, in addition to almost 400 million tweets from a random sample of American Twitter users, provides little systematic evidence of increased hate speech on Twitter over this time. Using both machine-learning-augmented dictionary-based methods and a novel classification approach leveraging data from alt-right subreddits, the authors observe no persistent increase in hate speech or white nationalist language either over the course of the campaign or in the aftermath of Trump's election. While key campaign events and policy announcements produced brief spikes in hateful language, these effects quickly dissipated. Overall, and with notable caveats, the authors find---at least on Twitter---little empirical support for the proposition that the Trump phenomenon has mainstreamed online hate.