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Online seminar hosted by the Data Methods Initiative and MMTC presented by Ulrich Matter
4
September
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4
September
13:15
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14:45
<p>Ulrich Matter: Search Engines, Online News, and Political Polarization</p><p><a target="_blank" href="https://umatter.github.io/">Ulrich</a> is Assistant Professor at the University of St. Gallen, working on topics related to web technologies, data science, quantitative political economics, and online media economics. He is the author of the book "<a target="_blank" href="https://umatter.github.io/BigData/">Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data</a>".</p><p> </p><p>Abstract of the the paper: Algorithmic personalization of information provision has been widely debated, with concerns that it may lead to segregation and political polarization. This study aims to investigate the impact of web search personalization on political polarization, focusing on online news and Google's search engine. We designed two experiments using 300 US-based synthetic web users, or "bots," with a human-like appearance and randomized individual characteristics, who were active for a 12-month period. Our findings reveal that web search personalization indeed intensifies informational segregation between users with liberal and conservative political preferences, as well as between users with varying privacy settings. However, our results suggest that the likelihood of an increased polarization due to personalized search results is nevertheless low.</p><p>Find out more here https://www.datamethodsinitiative.org/post/ulrich-matter</p>
4
September
-
4
September
13:15
-
14:45
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Online seminar hosted by the Data Methods Initiative and MMTC presented by Ulrich Matter
Ulrich Matter: Search Engines, Online News, and Political Polarization
Ulrich is Assistant Professor at the University of St. Gallen, working on topics related to web technologies, data science, quantitative political economics, and online media economics. He is the author of the book "Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data".
Abstract of the the paper: Algorithmic personalization of information provision has been widely debated, with concerns that it may lead to segregation and political polarization. This study aims to investigate the impact of web search personalization on political polarization, focusing on online news and Google's search engine. We designed two experiments using 300 US-based synthetic web users, or "bots," with a human-like appearance and randomized individual characteristics, who were active for a 12-month period. Our findings reveal that web search personalization indeed intensifies informational segregation between users with liberal and conservative political preferences, as well as between users with varying privacy settings. However, our results suggest that the likelihood of an increased polarization due to personalized search results is nevertheless low.
Find out more here https://www.datamethodsinitiative.org/post/ulrich-matter
Organizer:
Media, Management and Transformation Centre
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Dissertation Defence - Dinesh Sundaram
12
September
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12
September
10:00
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13:00
<p><strong>Title of the thesis: </strong><em>Gas Evolution and Transport in Foundry Sands</em><br /><strong>Author of the thesis: </strong>Dinesh Sundaram<br /><strong>Third-cycle subject area:</strong> Materials and Manufacturing<br /><strong>Faculty examiner / Opponent:</strong> Professor Michal Szucki, Technische Universität Bergakademie Freiberg, Germany<br /><strong>Principal supervisor: </strong>Professor Attila Diószegi, JTH, Jönköping University</p><p>Welcome to attend the defence!</p>
12
September
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12
September
10:00
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13:00
Location
E1405 (Gjuterisalen)
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Dissertation Defence - Dinesh Sundaram
Title of the thesis: Gas Evolution and Transport in Foundry Sands
Author of the thesis: Dinesh Sundaram
Third-cycle subject area: Materials and Manufacturing
Faculty examiner / Opponent: Professor Michal Szucki, Technische Universität Bergakademie Freiberg, Germany
Principal supervisor: Professor Attila Diószegi, JTH, Jönköping University
Welcome to attend the defence!
Organizer:
School of Engineering
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Dissertation Defence - Rahel Kebede
20
September
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20
September
09:00
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12:00
<p><strong>Title of the thesis: </strong><em>Ontology and Knowledge Graph-Based Data Management for Sustainable Buildings: A Case of Digital Product Passport to Enable Circular Economy in the Built Environment</em><br /><strong>Author of the thesis: </strong>Rahel Kebede<br /><strong>Third-cycle subject area:</strong> Machine Design<br /><strong>Faculty examiner / Opponent:</strong> Associate Professor Pieter Pauwels, Eindhoven University of Technology, Netherlands<br /><strong>Principal supervisor: </strong>Associate<strong> </strong>Professor Peter Johansson JTH, Jönköping University</p><p>Welcome to attend the defence!</p>
20
September
-
20
September
09:00
-
12:00
Location
E1405 (Gjuterisalen)
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Dissertation Defence - Rahel Kebede
Title of the thesis: Ontology and Knowledge Graph-Based Data Management for Sustainable Buildings: A Case of Digital Product Passport to Enable Circular Economy in the Built Environment
Author of the thesis: Rahel Kebede
Third-cycle subject area: Machine Design
Faculty examiner / Opponent: Associate Professor Pieter Pauwels, Eindhoven University of Technology, Netherlands
Principal supervisor: Associate Professor Peter Johansson JTH, Jönköping University
Welcome to attend the defence!
Organizer:
School of Engineering
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