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).

 
 
Session Overview
Date: Wednesday, 08/Sept/2021
10:00
-
1:00
Workshop 1
 

Changing the Question: How to collect data which is closer to the truth

Steve Wigmore

Kantar UK

Workshop 2
 

Collecting and Analyzing Twitter Data Using R

Dorian Tsolak, Stefan Knauff

Bielefeld University, Germany

1:00
-
2:00
Break
2:00
-
5:00
Workshop 3
 

Create impact with data - know your audience and comunicate well

Marcel Hebing1,2,3, Larissa Wunderlich4

1: Impact Distillery, Germany; 2: Digital Business University of Applied Sciences, Germany; 3: Alexander von Humboldt Institut für Internet und Gesellschaft, Germany; 4: larissawunderlich.de, Germany

Workshop 4
 

Introduction to Social Network Analysis using NodeXL Pro

Harald Meier1, Dr. Wasim Ahmed2

1: Social Media Research Foundation, Germany; 2: Newcastle University, United Kingdom

Date: Thursday, 09/Sept/2021
11:00 CEST Track A: Survey Research: Advancements in Online and Mobile Web Surveys
Track B: Data Science: From Big Data to Smart Data
Track C: Politics, Public Opinion, and Communication
Track D: Digital Methods in Applied Research
Track T: GOR Thesis Award 2021
11:00 - 11:30 CEST GOR 21 Conference Kick-off
11:30 - 12:30 CEST A1: Probability-based Online Panel Research
 

The Long-Term Impact of Different Offline Population Inclusion Strategies in Probability-Based Online Panels: Evidence From the German Internet Panel and the GESIS Panel

Carina Cornesse1, Ines Schaurer2

1: University of Mannheim; 2: GESIS - Leibniz Institute for the Social Sciences



Why do people participate in probability-based online panel surveys?

Sebastian Kocar, Paul J. Lavrakas

Australian National University, Australia



Lessons learned from conducting the German Internet Panel

Carina Cornesse, Ulrich Krieger

University of Mannheim, Germany

B1: Digital Trace Data and Mobile Data Collection
 

The Smartphone Usage Divide: Differences in People's Smartphone Behavior and Implications for Mobile Data Collection

Alexander Wenz, Florian Keusch

University of Mannheim, Germany



Digital trace data collection through data donation

Laura Boeschoten, Daniel Oberski

Utrecht University, Netherlands, The



Smartphone behavior during the Corona pandemic – How Germans used apps in 2020.

Konrad Grzegorz Blaszkiewicz1,2, Qais Kasem1, Clara Sophie Vetter1,3, Ionut Andone1,2, Alexander Markowetz1,4

1: Murmuras, Germany; 2: University of Bonn, Germany; 3: University of Amsterdam, Netherlands; 4: Philipps University of Marburg, Germany

C1: Social Media and Public Opinion
 

The Discourse about Racism on German Social Media - A Big Data Analysis

Anna Karmann, Dorian Tsolak, Stefan Knauff, Simon Kühne, Hendrik Lücking

Bielefeld University, Germany



Assessing when social media can complement surveys and when not: a longitudinal case study

Maud Reveilhac, Davide Morselli

Lausanne University (Switzerland), Faculty of social and political sciences, Institute of social sciences, Life Course and Social Inequality Research Centre



Personal Agenda Setting? The effect of following patterns on social media during Election

Yaron Ariel, Vered Elishar-Malka, Dana Weimann-Saks

Max Stern Academic College of Emek Yezreel, Israel

D1: GOR Best Practice Award 2021 Competition I
t.b.a.
GOR Thesis Award 2021 Competition
 

Generalized Zero and Few Shot Transfer for Facial Forgery Detection

Shivangi Aneja

Technical University of Munich, Germany



How Does Broadband Supply Affect the Participation in Panel Surveys? An analysis of mode choice and panel attrition

Maikel Schwerdtfeger1,2

1: GESIS - Leibniz-Institut für Sozialwissenschaften, Germany; 2: University of Mannheim



Voice in Online Interview Research

Aleksei Tiutchev

HTW Berlin, Germany

12:30 - 12:50 CEST Break
12:50 - 1:50 CEST P 1.1: Poster I
 

Knowing and Managing the Buyer's Reference Price is King: Experimental Survey Designs to Measure Price Perception Using the Example of Mobile Flat Rate Offers

Andreas Krämer

exeo Strategic Consulting AG, Germany



Button design on small-screen devices. An online-experiment on user performance and preferences.

Martin Liebig

Westfälische Hochschule Gelsenkirchen, Germany



Willingness to participate in in-the-moment surveys triggered by online behaviors

Carlos Ochoa, Melanie Revilla

Research and Expertise Centre for Survey Methodology, Universitat Pompeu Fabra

P 1.2: Poster II
 

Comparison of Unipolar and Bipolar Response Scales in Online Personality Testing

Vaka Vésteinsdóttir1,2, Philipp Jahn3, Ragnhildur Lilja Asgeirsdottir1,2, Haukur Freyr Gylfason4, Fridtjof Nussbeck3, Fanney Thorsdottir1,2

1: University of Iceland, Iceland; 2: RAHÍ: Rannsóknarsetur í aðferðafræði við Sálfræðideild Háskóla Íslands / Methodology Research Center at the University of Iceland; 3: University of Konstanz, Germany; 4: Reykjavik University, Iceland



Psychological factors as mediators of second screen usage during viewing sport broadcasts

Dana Weimann-Saks, Vered Elishar-Malka, Yaron Ariel

Max Stern Academic College of Emek Yezreel, Israel

P 1.3: Poster III
P 1.4: Poster IV
P 1.5: Poster V
1:50 - 2:00 CEST Break
2:00 - 3:00 CEST A2: Recruitment for Probability-based Panels
 

Enhancing Participation in Probability-Based Online Panels: Two Incentive Experiments and their Effects on Response and Panel Recruitment

Nils Witte1, Ines Schaurer2, Jette Schröder2, Jean Philippe Décieux3, Andreas Ette1

1: Federal Institute for Population Research, Germany; 2: GESIS; 3: University of Duisburg-Essen



Comparing face-to-face and online recruitment approaches: evidence from a probability-based panel in the UK

Curtis Jessop

NatCen, United Kingdom



Building an Online Panel of Migrants in Germany: A Comparison of Sampling Methods

Mariel McKone Leonard1, Sabrina J. Mayer1,2, Jörg Dollmann1,3

1: German Center for Integration and Migration Research (DeZIM), Germany; 2: University of Duisburg-Essen, Germany; 3: Mannheim Center for European Social Research (MZES), University of Mannheim, Germany

B2: Geodata in Market and Survey Research
 

Innovative segmentation using microgeography: How to identify consumers with high environmental awareness on a precise regional basis

Franziska Kern

infas360, Germany



GPS paradata: methods for CAPI interviewers fieldwork monitoring and data quality

Daniil Lebedev, Aigul Klimova

HSE University, Moscow, Russia



Combining Survey Data and Big Data to Rich Data – The Case of Facebook Activities of Political Parties on the Local Level

Mario Rudolf Roberto Datts, Martin Schultze

University of Hildesheim, Germany

C2: Misinformation
 

Emotional framing and the effectiveness of corrective information

Pirmin Stöckle

University of Mannheim, Germany



Forwarding Pandemic Online Rumors in Israel and in Wuhan, China

Vered Elishar-Malka1, Shuo Seah2, Dana Weimann-Saks1, Yaron Ariel1, Gabriel Weimann3

1: Academic College of Emek Yezreel; 2: Huazhong University of Science and Technology, China; 3: University of Haifa



Acceptance or Escape: A Study on the embrace of Correction of Misinformation on YouTube

Junmo Song

Yonsei University, Korea, Republic of (South Korea)

D2: GOR Best Practice Award 2021 Competition II
t.b.a.
 
3:00 - 3:10 CEST Break
3:10 - 4:10 CEST Keynote1
 

Election polling is not dead: Forecasts can be improved using wisdom-of-crowds questions

Mirta Galesic

Santa Fe Institute, United States of America

4:10 - 4:20 CEST Break
4:20 - 5:30 CEST A3: New Technologies in Surveys
 

Participation of household panel members in daily burst measurement using a mobile app

Annette Jäckle1, Jonathan Burton1, Mick Couper2, Brienna Perelli-Harris3, Jim Vine1

1: University of Essex, United Kingdom; 2: University of Michigan, USA; 3: University of Southampton, United Kingdom



App-Diaries – What works, what doesn’t? Results from an in-depth pretest for the German Time-Use-Survey

Daniel Knapp, Johannes Volk, Karen Blanke

Federal Statistical Office Germany (Destatis)



Using text analytics to identify safeguarding concerns within free-text comments

Sylvie Hobden, Joanna Barry

Ipsos MORI, United Kingdom



Adaptive experimentation in survey research

Bernhard Clemm Von Hohenberg

University of Amsterdam, Netherlands, The

B3: Smartphone Sensors and Passive Data Collection
 

Online Data Generated by Voice Assistants – Data Collection and Analysis Using the Example of the Google Assistant

Rabea Bieckmann

Ruhr-Universität Bochum, Germany



Eyes, Eyes, Baby: BYOD Smartphone Eye Tracking

Holger Lütters1, Antje Venjakob2

1: HTW Berlin, Germany; 2: oculid UG (haftungsbeschränkt), Germany



Separating the wheat from the chaff: a combination of passive and declarative data to identify unreliable news media

Denis Bonnay1,2, Philippe Schmitt1,3

1: Respondi; 2: Université Paris Nanterre; 3: Toulouse School of Economics



Measuring smartphone operating system versions in surveys: How to identify who has devices compatible with survey apps

Jim Vine1, Jonathan Burton1, Mick Couper2, Annette Jäckle1

1: University of Essex, United Kingdom; 2: University of Michigan, USA

C3: COVID-19 and Crisis Communication
 

The Mannheim Corona Study - Design, Implementation and Data Quality

Carina Cornesse, Ulrich Krieger

SFB 884, University of Mannheim, Germany



Tracking and driving behaviour with survey and metered data: The influence of incentives on the uptake of a COVID-19 contact tracing app

Holger Nowak, Myrto Papoutsi

respondi, Germany



Are people more likely to listen to experts than authorities during Covid-19 crisis? The case of crisis communication on Twitter during the covid-19 pandemic in Germany

Larissa Drescher1, Katja Aue1, Wiebke Schär2, Anne Götz2, Kerstin Dressel2, Jutta Roosen1

1: c3 team, Germany; 2: sine - Süddeutsches Institut für empirische Sozialforschung e.V. | sine-Institut gGmbH, Germany



Targeted communication in weather warnings: An experimental approach

Julia Asseburg1, Nathalie Popovic2

1: LINK Institut, Switzerland; 2: MeteoSchweiz, Switzerland

D3: t.b.a.
 
5:45 - 8:00 CEST Virtual GOR 21 Party
Date: Friday, 10/Sept/2021
11:00 CEST Trach A_1: Track A: Survey Research: Advancements in Online and Mobile Web Surveys
Track A_2: Track A: Survey Research: Advancements in Online and Mobile Web Surveys
Track B: Data Science: From Big Data to Smart Data
Track C: Politics, Public Opinion, and Communication
Track D: Digital Methods in Applied Research
11:00 - 12:00 CEST A4.1: Respondent Behavior and Data Quality I
 

Satisficing Behavior across Time: Assessing Negative Panel Conditioning Using a Randomized Experiment

Fabienne Kraemer1, Henning Silber1, Bella Struminskaya2, Michael Bosnjak3, Joanna Koßmann3, Bernd Weiß1

1: GESIS - Leibniz-Institute for the Social Sciences, Germany; 2: Utrecht University, Department of Methodology and Statistics, Netherlands; 3: ZPID - Leibniz-Institute for Psychology, Germany



Consistency in straightlining across waves in the Understanding Society longitudinal survey

Olga Maslovskaya

University of Southampton, United Kingdom



Effects of ‘Simple Language’ on Data Quality in Web Surveys

Irina Bauer, Tanja Kunz, Tobias Gummer

GESIS – Leibniz Institute for the Social Sciences, Germany

A4.2: Scale and Question Format
 

Investigating Direction Effects Across Rating Scales with Five and Seven Points in a Probability-based Online Panel

Jan Karem Höhne1, Dagmar Krebs2

1: University of Duisburg-Essen, Germany; 2: University of Gießen, Germany



Effects of question characteristics on item non-response in telephone and web survey modes

Oliver Lipps1,2, Gian-Andrea Monsch1

1: FORS, Switzerland; 2: University of Bern



Serious Tinder Research: Click vs. Swipe mechanism in mobile implicit research

Holger Lütters1, Steffen Schmidt2, Malte Friedrich-Freksa3, Oskar Küsgen4

1: HTW Berlin, Germany; 2: LINK Marketing Services AG, Switzerland; 3: GapFish GmbH, Germany; 4: pangea labs GmbH, Germany

B4: Social Media Data
 

Accessing in-app social media advertising data: Measuring deployment and success of ads with real participant’s data on smartphones

Qais Kasem1, Ionut Andone1,2, Konrad Blaszkiewicz1,2, Felix Metzger1,2, Alexander Markowetz1,3

1: Murmuras, Germany; 2: University of Bonn, Germany; 3: Philipps-Universität Marburg, Germany



Public attitudes to linking survey and Twitter data

Curtis Jessop1, Natasha Phillips1, Mehul Kotecha1, Tarek Al Baghal2, Luke Sloan3

1: NatCen Social Research, United Kingdom; 2: Cardiff University, United Kingdom; 3: University of Essex, United Kingdom



Estimating Individual Socioeconomic Status of Twitter Users

Yuanmo He, Milena Tsvetkova

The London School of Economics and Political Science, United Kingdom

C4: Web Tracking of News Exposure
 

Post post-broadcast democracy? News exposure in the age of online intermediaries

Sebastian Stier1, Michael Scharkow2, Frank Mangold3, Johannes Breuer1

1: GESIS – Leibniz Institute for the Social Sciences, Germany; 2: Johannes Gutenberg University Mainz; 3: University of Hohenheim



Populist Alternative News Use during Election Times in Germany

Ruben Bach, Philipp Müller

University of Mannheim, Germany



Explaining voting intention through online news consumption

François Erner1, Denis Bonnay2

1: respondi SAS, France; 2: respondi SAS, France; université paris-nanterre, France

D4: Podiumsdiskussion "16 Tage vor der Wahl – Wie ist die Demoskopie für die Bundestagswahl gerüstet?"
(in German)

Programmpartner: marktforschung.de
12:00 - 12:10 CEST Break
12:10 - 1:10 CEST Keynote 2 - t.b.a.
1:10 - 1:30 CEST Break
1:30 - 2:30 CEST A5.1: Respondent Behavior and Data Quality II
 

Looking up answers to political knowledge questions: the use of different instructions and measures for respondent behavior

Tobias Gummer1, Tanja Kunz1, Tobias Rettig2, Jan Karem Höhne3,4

1: GESIS - Leibniz Institute for the Social Sciences, Germany; 2: University of Mannheim; 3: University of Duisburg-Essen; 4: RECSM-Universitat Pompeu Fabra



Better late than not at all? A systematic review on late responding in (web) surveys

Ellen Laupper1, Esther Kaufmann2, Ulf-Dietrich Reips2

1: Swiss Federal Institute for Vocational Education and Training SFIVET, Switzerland; 2: University of Konstanz



The impact of perceived and actual respondent burden on response quality: Findings from a randomized web survey

Tanja Kunz, Tobias Gummer

GESIS - Leibniz-Institute for the Social Sciences, Germany

A5.2: Survey Invitation Methodology
 

Comparing SMS and postcard reminders

Joanna Barry, Rachel Williams, Eileen Irvin

Ipsos MORI, United Kingdom



Evaluating probability-based Text message panel survey methodology

Chintan Turakhia1, Jennifer Su2

1: SSRS, United States of America; 2: SSRS, United States of America



Expansion of an Australian probability-based online panel using ABS, IVR and SMS push-to-web

Benjamin Phillips, Charles Dove, Paul Myers, Dina Neiger

The Social Research Centre, Australia

B5: Turning Unstructured Data into Insight (with Machine Learning)
 

The Economics of Superstars: Inequalities of Visibility in the World of Online-Communication

Frank Heublein1, Reimund Homann2

1: Beck et al. GmbH, Germany; 2: IMWF Institut für Management- und Wirtschaftsforschung GmbH



Data Fusion for Better Insights: A medley of Conjoint and Time Series data

Julia Görnandt, Ricarda Heim

SKIM, Germany



Contextualizing word embeddings with semi-structured interviews

Stefan Knauff

Bielefeld University, Germany

C5: Inequalities and Political Participation
 

Representativeness in Research: How Well Do Online Samples Represent People of Color in the US?

Frances M. Barlas, Randall K. Thomas, Beatrice Abiero

Ipsos Public Affairs, United States of America



Does context matter? Exploring inequality patterns of youth political participation in Greece

Stefania Kalogeraki

University of Crete, Greece



Mobile Device Dependency in Everyday Life: Internet Use and Outcomes

Grant Blank1, Darja Groselj2

1: University of Oxford, United Kingdom; 2: University of Ljubljana, Slovenia

D5: t.b.a.
2:30 - 2:40 CEST Break
2:40 - 3:00 CEST GOR Award Ceremony
3:00 - 3:10 CEST Break
3:10 - 4:20 CEST A6.1: Social Media Sampling
 

Using Facebook for Comparative Survey Research: Customizing Facebook Tools and Advertisement Content

Anja Neundorf, Aykut Ozturk

University of Glasgow, United Kingdom



Trolls, bots, and fake interviews in online survey research: Lessons learned from recruitment via social media

Zaza Zindel

Bielefeld University, Germany



Using Social Networks to Recruit Health Professionals for a Web Survey

Henning Silber, Christoph Beuthner, Steffen Pötzschke, Bernd Weiß, Jessica Daikeler

GESIS - Leibniz Institute for the Social Sciences, Mannheim, Germany

A6.2: Web Probing and Survey Design
 

What is the optimal design of multiple probes implemented in web surveys?

Cornelia Neuert, Timo Lenzner

GESIS, Germany



Analysis of Open-text Time Reference Web Probes on a COVID-19 Survey

Kristen L Cibelli Hibben, Valerie Ryan, Hoppe Travis, Scanlon Paul, Miller Kristen

National Center for Health Statistics



Reducing Respondent Burden with Efficient Survey Invitation Design

Hafsteinn Einarsson, Alexandru Cernat, Natalie Shlomo

University of Manchester, United Kingdom



Recruitment to a probability-based panel: question positioning, staggering information, and allowing people to say they’re ‘not sure’

Curtis Jessop, Marta Mezzanzanica

NatCen, United Kingdom

A6.3: Voice Recording in Surveys
 

Willingness to provide voice-recordings in the LISS panel

Katharina Meitinger1, Matthias Schonlau2

1: Utrecht University, Netherlands; 2: University of Waterloo, Canada



Audio and voice inputs in mobile surveys: Who prefers these communication channels, and why?

Timo Lenzner1, Jan Karem Höhne2,3

1: GESIS - Leibniz Institute for the Social Sciences, Germany; 2: University of Duisburg-Essen, Germany; 3: Universitat Pompeu Fabra, Research and Expertise Centre for Survey Methodology, Barcelona, Spain



Effect of Explicit Voice-to-Text Instructions on Unit Nonresponse and Measurement Errors in a General Population Web Survey

Z. Tuba Suzer-Gurtekin, Yingjia Fu, Peter Sparks, Richard Curtin

University of Michigan, United States of America

A6.4: Representativity in Online Panels
 

Investigating self-selection bias of online surveys on COVID-19 pandemic-related outcomes and health characteristics

Bernd Weiß

GESIS - Leibniz Institute for the Social Sciences, Germany



Relationships between variables in probability-based and nonprobability online panels

Carina Cornesse, Tobias Rettig, Annelies G. Blom

University of Mannheim, Germany



Sampling in Online Surveys in Latin America: Assessing Matching vs. "Black Box" Approaches

Oscar Castorena1, Noam Lupu1, Maitagorri H Schade2, Elizabeth J Zechmeister1

1: Vanderbilt University; 2: Agora Verkehrswende

 
4:20 - 5:00 CEST Fare Well Drinks

 
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