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Session Overview |
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| 10:00 - 1:00 |
Workshop 1 Location: Room 158 Developing Dashboards in Microsoft Power BI TH Köln, Germany |
| 2:00 - 5:00 |
Workshop 5 Location: Room 158 Predicting Online Behaviour respondi & Université Paris Nanterre, France |
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| 9:00 | Track B: Big Data and Data Science Location: Room 158 In cooperation with the International Program in Survey and Data Science (IPSDS) |
| 10:45 - 11:45 |
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 Insius, Germany Impact evaluation by using text mining and sentiment analysis TU Dresden, Germany What to expect from open-ends? Ipsos |
| 12:00 - 1:00 |
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 Heinrich-Heine-Universität Düsseldorf, Germany Rank eater versus Muggle: The impact of the two consumer orientations on the ranking in the digital music market Yonsei University, Korea, Republic of (South Korea) Methods and Tools for the Automatic Sampling and Analysis of YouTube Comments 1: TU Ilmenau, Germany; 2: GESIS – Leibniz Institute for the Social Sciences, Germany |
| 3:45 - 4:45 |
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 Rheinische Fachhochschule Köln, Germany Mobile Detection of Visual Brand Touchpoints NIM, Germany Revealing consumer-brand-interactions from social media pictures - a case study from the fast-moving consumer goods industry NIM, Germany |
| 5:00 - 6:00 |
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 1: University of Göttingen, Germany; 2: University of Bergamo, Italy Exploring Instagram Data: What’s in Instagram for Market Research and Social Sciences? 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 1: Julius-Maximilians-Universität Würzburg, Germany; 2: Bergische Universität Wuppertal |
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| 9:00 | Track B: Big Data and Data Science Location: Room 158 In cooperation with the International Program in Survey and Data Science (IPSDS) |
| 9:00 - 10:00 |
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 1: GESIS - Leibniz Institute for the Social Sciences, Germany; 2: Heinrich-Heine-Universität Düsseldorf Data Literacy in the Age of Insight Democratization Norstat Deutschland GmbH, Germany Using Publicly Available Data to Examine Potential Cultural Influence on Concussion Risk in American Football Players Northern Arizona University, United States of America |
| 12:00 - 1:00 |
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 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? respondi, France Enriching an Ongoing Panel Survey with Mobile Phone Measures: The IAB-SMART App 1: Institute for Employment Research; 2: University of Mannheim; 3: University of Bamberg; 4: University of Maryland |
| 2:15 - 3:15 |
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. CentERdata - Tilburg University Squats in surveys: the use of accelerometers for fitness tasks in surveys 1: Utrecht University; 2: University of Mannheim; 3: RECSM-Universitat Pompeu Fabra Marienthal 2.0: Research into the subtle effects of unemployment using smartphones Institute for Employment Research (IAB), Germany |
| 3:30 - 4:30 |
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 Utrecht University, Netherlands, The Is influencer marketing overpromising? 1: respondi, Germany; 2: respondi, France AI Pack Screening Model - Applying Data, Expertise & Artificial Intelligence to Screen Packaging Concepts PRS IN VIVO Germany GmbH, Germany |
