Conference Agenda

Session Overview
Date: Wednesday, 06/Mar/2019
Workshop 1
Location: Room 158

Developing Dashboards in Microsoft Power BI

Gernot Heisenberg

TH Köln, Germany

Workshop 5
Location: Room 158

Predicting Online Behaviour

Denis Bonnay

respondi & Université Paris Nanterre, France

Date: Thursday, 07/Mar/2019
9:00 Track B: Big Data and Data Science
Location: Room 158

In cooperation with the International Program in Survey and Data Science (IPSDS)
B02: Text Mining and NLP
Location: Room 158
Chair: Florian Keusch, Universität Mannheim & DGOF, Germany

Towards the Human-Machine-Symbiosis: Artificial Intelligence as a Support for Natural Language Clustering

Marc Egger, André Lang

Insius, Germany

Impact evaluation by using text mining and sentiment analysis

Cathleen M. Stuetzer, Marcel Jablonka, Stephanie Gaaw

TU Dresden, Germany

What to expect from open-ends?

Eva Wittmann, Sara Wilkinson, Cecile Carre


B03: Data from Video and Music Platforms
Location: Room 158
Chair: Simon Kühne, University Bielefeld, Germany

Why not to use popularity scores from platforms. The hidden biases of YouTube data

Merja Mahrt

Heinrich-Heine-Universität Düsseldorf, Germany

Rank eater versus Muggle: The impact of the two consumer orientations on the ranking in the digital music market

Junmo Song, Eehyun Kim

Yonsei University, Korea, Republic of (South Korea)

Methods and Tools for the Automatic Sampling and Analysis of YouTube Comments

M. Rohangis Mohseni1, Johannes Breuer2, Julian Kohne2

1: TU Ilmenau, Germany; 2: GESIS – Leibniz Institute for the Social Sciences, Germany

B05: Images and Virtual Reality in Market Research
Location: Room 158
Chair: Ruben Bach, University of Mannheim, Germany

If I can virtually touch it, I’ll buy it? Analysing the influence of (non) interactive product presentations in the online-grocery sector

Melanie Bender, Christian Bosau

Rheinische Fachhochschule Köln, Germany

Mobile Detection of Visual Brand Touchpoints

René Schallner, Carolin Kaiser

NIM, Germany

Revealing consumer-brand-interactions from social media pictures - a case study from the fast-moving consumer goods industry

Carolin Kaiser, René Schallner, Vladimir Manewitsch

NIM, Germany

B06: Social Media and Online Communities
Location: Room 158
Chair: René Schallner, NIM, Germany

Optimized Strategies for Enhancing the Territorial Coverage in Twitter Data Collection

Stephan Schlosser1, Michela Cameletti2, Daniele Toninelli2

1: University of Göttingen, Germany; 2: University of Bergamo, Italy

Exploring Instagram Data: What’s in Instagram for Market Research and Social Sciences?

Yannick Rieder1, Simon Kühne2, Daniel Jörgens3

1: Janssen-Cilag GmbH, Germany; 2: Universität Bielefeld, Germany; 3: KTH Royal Institute of Technology, Sweden

The keyboard is the key—Language cues in online dating

Dorothea C. Adler1, Maximilian T. P. Freiherr von Andrian-Werburg1, Frank Schwab1, Sascha Schwarz2, Benjamin P. Lange1

1: Julius-Maximilians-Universität Würzburg, Germany; 2: Bergische Universität Wuppertal

Date: Friday, 08/Mar/2019
9:00 Track B: Big Data and Data Science
Location: Room 158

In cooperation with the International Program in Survey and Data Science (IPSDS)
B07: Opportunities and Challenges of Digitalization
Location: Room 158
Chair: Cathleen M. Stuetzer, TU Dresden & DGOF, Germany

The Variable Harmonization Hub: A case study in Big Data and digital documentation

Kristi Winters1, Inga Brentel2, Martin Friedrichs1

1: GESIS - Leibniz Institute for the Social Sciences, Germany; 2: Heinrich-Heine-Universität Düsseldorf

Data Literacy in the Age of Insight Democratization

Angelika Satzl, Dominik Racké

Norstat Deutschland GmbH, Germany

Using Publicly Available Data to Examine Potential Cultural Influence on Concussion Risk in American Football Players

Heidi A. Wayment, Ann H. Huffman, Brian A. Eiler, Patrick C. Doyle

Northern Arizona University, United States of America

B09: Using Smartphone Data for Social Science Research
Location: Room 158
Chair: Anne Elevelt, Utrecht University, Netherlands, The

Process Quality and Adherence in a Mobile App Study to Collect Expenditure Data within a Probability Household Longitudinal Study

Carli Lessof1, Annette Jäckle2, Mick Couper3, Thomas F Crossley2

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

The Appiness project - How do (un)happy people behave online?

François Erner

respondi, France

Enriching an Ongoing Panel Survey with Mobile Phone Measures: The IAB-SMART App

Georg-Christoph Haas1,2, Frauke Kreuter1,2,4, Sebastian Bähr1, Florian Keusch2, Mark Trappmann1,3

1: Institute for Employment Research; 2: University of Mannheim; 3: University of Bamberg; 4: University of Maryland

B10: Mobility and Activity Data from Smartphones
Location: Room 158
Chair: Emily Gilbert, University College London, United Kingdom

What Really Makes You Move? Identifying Relationships between Physical Activity and Health through Applying Machine Learning Techniques on High Frequency Accelerometer and Survey Data.

Joris Mulder, Natalia Kieruj, Seyit Höcük, Pradeep Kumar

CentERdata - Tilburg University

Squats in surveys: the use of accelerometers for fitness tasks in surveys

Anne Elevelt1, Jan Karem Höhne2,3, Annelies Blom2

1: Utrecht University; 2: University of Mannheim; 3: RECSM-Universitat Pompeu Fabra

Marienthal 2.0: Research into the subtle effects of unemployment using smartphones

Sebastian Bähr

Institute for Employment Research (IAB), Germany

B11: Online Reputation and Influencer Marketing
Location: Room 158
Chair: Christian Kämper, Interrogare GmbH, Germany

The Reputation Effects in C2C Online Markets: A Meta-analysis

Ruohuang Jiao, Wojtek Przepiorka, Vincent Buskens

Utrecht University, Netherlands, The

Is influencer marketing overpromising?

François Erner2, Jonathan Heinemann1

1: respondi, Germany; 2: respondi, France

AI Pack Screening Model - Applying Data, Expertise & Artificial Intelligence to Screen Packaging Concepts

Christian Dössel, Hervé Turpault

PRS IN VIVO Germany GmbH, Germany