Hello,
We are pleased to announce the first seminar of the University of Manchester, Department of Social Statistics seminar series, to be held on Tuesday, October 11th at 4:00 pm (United Kingdom (GMT) time).
We have the privilege of hosting Professor Michael Schober from The New School in New York City to talk about: ‘Exploring New Ways of Using Twitter Content to Augment Survey Data’
The abstract and bio are below.
To register for the seminar, please use this link:
https://www.eventbrite.com/e/social-statistics-seminar-series-2022-23-seminar-1-tickets-424243131627
You will then be sent the link for entering the zoom room in a separate email closer to the date of the seminar.
To join the email list to receive further notifications of upcoming monthly seminars in our series, please use: http://bit.ly/socialstatslist
All the best,
Prof. Natalie Shlomo and Prof. Maria Pampaka
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Title: Exploring New Ways of Using Twitter Content to Augment Survey Data
Speaker: Michael Schober, Professor of Psychology, The New School for Social Research
October 11th, 4 pm GMT time
Registration: https://www.eventbrite.com/e/social-statistics-seminar-series-2022-23-seminar-1-tickets-424243131627
Abstract: How and in what ways can social media data best be used to connect with and enhance knowledge gained from traditional surveys? This talk presents progress on a study that takes the metaphor of social
media postings as a kind of (very large) focus group from which insights like those from focus groups can be mined. The project involves exploring the techniques of natural language processing for modeling content clusters in large Twitter data sets, new tests
of when and how findings from social media analyses do and don't align with findings from representative sample surveys, and steps towards developing a new "Tweet browser" interface that will allow analysts to explore large Twitter data sets in targeted ways.
Bio: Michael Schober is Professor of Psychology and Senior Vice Provost for Faculty Affairs at The New School in New York City. His academic training was in Cognitive Science at Brown University and in Psychology
(with a focus on psycholinguistics and dialogue) at Stanford University. His research focuses on shared understanding—and misunderstanding—in survey interviews and self-administered surveys, collaborative music-making, and everyday conversation, and how new
communication technologies (for example, social media posts) are affecting interaction dynamics and research conclusions based on data collected in new modes. His research has been supported by funding from the US National Science Foundation, the US Census
Bureau, and the UK National Centre for Research Methods. He was a co-recipient of the AAPOR Warren J. Mitofsky Innovators Award, and co-editor of the 2021 Public Opinion Quarterly special issue “New Data in Social and Behavioral Research.
