WIAS Visiting Researcher Seminar:
Prof. BARISIONE, Mauro （December 11, 18, 20）
講演者 / Speaker
BARISIONE, Mauro (Full Professor, University of Milan）
日 時 / Date & Time
1. December 11 (Tue), 16:30～18:00, Room 708, Building No.3
2. December 18 (Tue), 14:45～16:15, Room 807, Building No.3
3. December 20 (Thu), 16:30～18:00, Meeting Room No.1, 10th Floor, Building No.3
(Campus map: Please click here)
主 旨 / Outline
Professor BARISIONE, Mauro is a founder of POMLAB（Public Opinion & Media） at University of Milan and analyzes a wide range of data including traditional mass surveys, online experiments, and social media data.
Professor BARISIONE, Mauro kindly agreed to give a series of three talks on social media data analysis, traditional content analysis, and survey experiments with the following schedule. Please feel free to come either (or all) of the talks when you are available.
1. “Detecting a digital movement of opinion from social media data and metadata”
(December 11 (Tue), 16:30～18:00, Room 708, Building No.3)
A ‘digital movement of opinion’ is a manifestation both of digital activism and social media-based public opinion. Rather than using traditional research methods, this phenomenon can be studied through a triangulation of quantitative methods (digital network and metadata analyses) and a more qualitative analysis of message contents. This allows to detect the degree of homogeneity of a discussion network, the network users’ mode of engagement, the level of their interconnectedness, and the profile of the network’s main influencers in the digital movement of opinion.
2. “Analyzing classical sociological texts through semi-supervised techniques of quantitative content analysis”
(December 18 (Tue), 14:45～16:15, Room 807, Building No.3)
This seminar offers an overview of the quantitative-qualitative techniques of content analysis which may be used in the study of scholarly literature, with a special application to social theory. Using original texts by classical and contemporary sociologists such as Weber, Durkheim, and Bourdieu, examples are provided of text-based relational analyses such as hierarchical clustering, multidimensional scaling, proximity based on word co-occurrence, together with more qualitative categorizations. This approach can shed new light on the similarities and distinctiveness in the written production of different authors.
3.”Using online survey experiments in the study of social and political prejudice”
(December 20 (Thu), 16:30～18:00, Meeting Room No.1, 10th Floor, Building No.3)
Laboratory experiments in social sciences are typically endowed with the capability of effectively isolating causal mechanisms (internal validity), but also with a weak propensity to generalize findings out of the laboratory situation. The emergence of population-based online survey experiments, in the form of so-called vignette (or multi-factorial) experiments, have granted higher internal and external validity and, by submitting randomized verbal or non-verbal cues within the framework of survey questionnaires, permitted to shed new light on dynamics of prejudice against social out-groups, as well as of attitude polarization in politics.
対 象 / Prospected Audience
Faculty and staff members of a university, grad students, undergraduates
主 催 / Organizer
Waseda Institute for Advanced Study, Waseda University
Positive/Empirical Analysis of Political Economy, Waseda University
Contact: HINO, Airo (Faculty of Political Science and Economics, Waseda University) : [email protected]
申込み / Registration
Free of charge. Please come to the event venue directly.
