General Online Research Conference 2024 (GOR 24)
Rheinische Fachhochschule Cologne - Campus Vogelsanger Straße
21 - 23 February 2024
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Session Overview | |
Location: Seminar 4 (Room 1.11) Rheinische Fachhochschule Köln Campus Vogelsanger Straße Vogelsanger Str. 295 50825 Cologne Germany |
Date: Wednesday, 21/Feb/2024 | |
10:00am - 1:00pm |
Workshop 2 Location: Seminar 4 (Room 1.11) Chair: Blanka Szeitl, HUN-REN, Hungary Probability theory in survey methods HUN-REN, Hungary |
1:30pm - 4:30pm |
Workshop 4 Location: Seminar 4 (Room 1.11) Chair: Ji-Ping Lin, Academia Sinica, Taiwan Why Data Science and Open Science Are Key to Build Smart Big Data: An Example Based on a Decade Research on Hard-to-Reach Population in Taiwan Academia Sinica, Taiwan |
Date: Thursday, 22/Feb/2024 | |
10:45am - 11:45am |
C1: Media Consumption Location: Seminar 4 (Room 1.11) Chair: Felix Cassel, University of Gothenburg, Sweden Anxiety and Psychological distance as a drive of mainstream and online media consumption during war The Max Stern Yezreel Valley College, Israel Engagement Dynamics and Dual Screen Use During the 2022 FIFA World Cup Max Stern Academic College of Emek Yezreel |
12:00pm - 1:15pm |
C2: Online research, attitudes, preferences, behavior Location: Seminar 4 (Room 1.11) Chair: Dana Weimann Saks, The Max Stern Yezreel Valley College, Israel Correlating Abortion Attitude Measures Across Surveys: A Novel Approach to Leveraging Historical Survey Data University of Michigan, United States of America Does survey response quality vary by respondents’ political attitudes? Evidence from the GGGS 2021 University of Bonn, Germany Building the city: a novel study on architectural style preferences in Sweden University of Gothenburg, Sweden Frequency Matters? Assessing the Impact of Online Interruptions on Work Pace 1: Max Stern Academic College of Emek Yezreel; 2: Shenkar College of Engineering, Design and Art |
3:45pm - 4:45pm |
C3: Artificial Intelligence Location: Seminar 4 (Room 1.11) Chair: Julia Susanne Weiß, GESIS, Germany AI: Friend or Foe? Concerns and Willingness to Embrace AI technologies in Israel 1: Academic College of Emek Yezreel, Israel; 2: Bar-Ilan University, Israel Human Accuracy in Identifying AI-Generated Content 1: HTW Berlin, Germany; 2: horizoom GmbH, Germany; 3: pangea labs GmbH, Germany Industry study: Experiences, expectations, hopes and challenges of working with AI in qualitative research. KERNWERT, Germany |
5:00pm - 6:00pm |
C4: Political Communication and Social Media Location: Seminar 4 (Room 1.11) Chair: Josef Hartmann, Verian (formerly Kantar Public), Germany Mapping news sharing on Twitter: A bottom-up approach based on network embeddings 1: Weizenbaum-Institut e.V., Germany; 2: Max-Planck-Institut für Mathematik in den Naturwissenschaften, Germany; 3: Sciences Po, médialab, Paris, France Individual-level and party-level factors of German MPs’ general and migration-related political communication in parliament and on Facebook between 2013 and 2017 Hertie School, Germany |
Date: Friday, 23/Feb/2024 | |
11:45am - 12:45pm |
C5: Politics, Media, Trust Location: Seminar 4 (Room 1.11) Chair: Felix Gaisbauer, Weizenbaum-Institut e.V., Germany What makes media contents credible? A survey experiment on the relative importance of visual layout, objective quality and confirmation bias for public opinion formation Konstanz University, Germany Sharing is caring! Youth Political Participation in the Digital Age GESIS, Germany Navigating Political Turbulence: A Study of Trust and online / offline Engagement in Unstable Political Contexts The Max Stern Yezreel Valley College, Israel |
2:00pm - 3:00pm |
B6.2: AI Tools for Survey Research 2 Location: Seminar 4 (Room 1.11) Chair: Florian Keusch, University of Mannheim, Germany Vox Populi, Vox AI? Estimating German Public Opinion Through Language Models 1: LMU Munich, Germany; 2: University of Mannheim, Germany Integrating LLMs into cognitive pretesting procedures: A case study using ChatGPT GESIS - Leibniz Institute for the Social Sciences, Germany Using Large Language Models for Evaluating and Improving Survey Questions 1: University of Mannheim, Germany; 2: LMU Munich, Germany |
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