Call for Papers

General Online Research 2023 (GOR 23, https://www.gor.de)

When: 20 – 22 September 2023

Where: University of Kassel, Kassel, Germany

You can download the Call for Papers for the GOR Best Practice Award Competition here (Extended Deadline: 21 May 2023).
You can download the Call for Papers for Track D “Innovation in Practice” here (Extended Deadline: 21 May 2023).
You can download the Call for Papers for the GOR Thesis Award Competition here (Deadline: 30 April 2023).
For information on poster submission, please see call below (point 6, submission deadline 31 May 2023).

Until 5 April 2023: abstract submissions for tracks A, B and C
Until 30 April 2023: abstract submissions for GOR Thesis Award 2023
Until 21 May 2023: abstract submissions for GOR Best Practice 2023 and Track D Session “Innovation in Practice”
Until 31 May 2023: abstract submissions for poster and GOR Poster Award 2023

Main topics: Online and Mobile Web Surveys, Data Science, Big Data, Smart Data, Political Research, Public Opinion, Political Online Communication, Online Market Research

GOR is organized by the German Society for Online Research (DGOF, https://www.dgof.de/) since 1997. Each year more than 300 participants attend the conference to discuss current developments in online research and best practices for their work in industry and academia. With more than 100 presentations addressing various subtopics of online research, GOR provides intensive training and networking opportunities.

Partner and Co-Organizer: University of Kassel, Prof. Dr. Bettina Langfeldt

Conference Topics

This year’s conference seeks submissions in:

Survey Research: Advancements in Online and Mobile Web Surveys (Track A)
Data Science: From Big Data to Smart Data (Track B)
Politics, Public Opinion, and Communication (Track C)
Innovation in Practice (Track D)

The programme committee invites presenters from industry, academia, official statistics, government agencies, and other sectors to submit their work for presentation. Submissions will be accepted on the basis of a double-blind peer review process.

Submission Types

Survey Research: Advancements in Online and Mobile Web Surveys (Track A): We welcome presentations that advance the methodology of online and mobile web surveys. Topics include the whole range of online survey research, for example, online panel quality, mobile web surveys, survey design and survey gamification, data collection, the use of paradata, as well as all aspects of the total survey error framework (coverage, sampling, nonresponse, measurement, adjustment, weighting). Submissions come from diverse fields such as market research, sociology, political science, psychology, and computer sciences, and they make use of various quantitative and qualitative approaches, such as online experiments or content analysis. Contributions that show how online and mobile web surveys perform compared to classical approaches (face to face, telephone, paper) are especially welcome.
Data Science: From Big Data to Smart Data (Track B): We welcome submissions with a focus on the use of large and complex data sets in conjunction with traditional survey data collection methods or as stand-alone applications to answer research questions in the social sciences, market research, and related fields. Presentations will cover a broad range of topics related to data generation (e.g., data mining, web scraping, use of sensors and wearables, data donation, Internet-of-Things and other digital trace sources), data curation and storage (e.g., database management, data munging, record linkage), data analysis (e.g., predictive analytics, computational social sciences, machine learning, content and sentiment analysis, geospatial analytics, image analytics), and data output and access (e.g., data visualization, data confidentiality and statistical disclosure control, data security, ethics). Latest techniques and developments, innovative tools and developments in ResearchTech stack, theoretical approaches, case studies, applications, limitations, and discussions of best practices in different fields (e.g., social media and network analysis, mobile ethnography, behaviour tracking, analysis of online search data, business intelligence, administrative data) are all welcome.
Politics, Public Opinion and Communication (Track C): We welcome submissions that are at the intersection of research on politics, public opinion, and communication on the one hand and online research on the other. Topics relevant to this track include (but are not limited to) trends in public opinion and political attitudes, patterns of online news consumption, communication in election campaigns, implications of digital technology for politics and democracy, the role of social media and bots for political discourse, incivility and hate speech online, media effects on political attitudes and engagement, roots and consequences of misinformation and fake news, and methodological issues in using online data for political, public opinion, and communication research. Contributions that present new descriptive findings are as welcome as observational studies in general, experimental work, case studies, applications, or methodological innovations.
Innovation in Practice (Track D Session): We invite you to submit a contribution to the session “Innovation in Practice” at GOR 23. Relevant are case studies and innovative developments from practice in areas such as ResearchTech, insight platforms, artificial intelligence, text analytics, automation or neuromarketing, as well as other new methodological approaches related to online research. In order to provide an overview of relevant news in exciting sessions, we have decided on sessions with 3-4 presentations of 10 minutes each, followed by 5 minutes of Q&A. Presentations can be in German or in English. Submit your abstract for Track D “Innovation in Practice”(max. 1 page) to office@dgof.de.
Best Practice Presentations (including the GOR Best Practice Award 2023 competition): The call is open for best cases in which online research methods and/or data science techniques have been successfully applied in a market research context, whether solely or in combination with traditional methods. The submission should also showcase the excellent collaboration between the agency/market researcher and the client. Cases that include innovative data sources like social media, geotags tracking data, VR or big data are welcome, but it’s not limited to these. What is decisive is the impact the project has generated. There must be at least two authors/presenters, one from the agency and one from client side. For internal projects it can be the project lead and business stakeholder. Please avoid being too promotional in your submission. Shortlisted presenting teams will receive 2 GOR tickets for the price of one.
Posters (including the GOR Poster Award 2023 competition): Posters offer the opportunity to present late breaking research, highlight specific research findings, and discuss work in progress. Authors are expected to present their poster during a poster session. A poster may cover any of the topics of GOR. Posters will be on display for the duration of the conference. All submissions in this category are considered for the GOR Poster Award 2023.
Thesis Presentations (including the GOR Thesis Award 2023 competition):Up to 3 bachelor/master/diploma theses and up to 3 doctoral theses will be selected to be presented at GOR in this category. The best ones will be awarded a prize in their respective categories: for the best doctoral thesis and for the best bachelor/master/diploma thesis. The conference fee is waived for all presenters in the Thesis Award competition. Accommodation and travel expenses need to be covered by the contestants. Theses must have been submitted in 2021 or 2022. The thesis language can be either English or German, but the presentation shall be in English. Submissions for the GOR Thesis Award 2023 competition should include the thesis as a PDF-file, an extended anonymized abstract (limited to 7000 characters (including spaces) in English), a cover letter in English written by the contestant with details on affiliation, degree programme, supervisors, graduation date, and mark received for the thesis together with an agreement to present the results at the GOR conference. A Thesis Award Jury will select presenters and winners.

Deadlines

5 April 2023: Deadline for abstract submissions for Tracks A – C
30 April 2023: Deadline for abstract submissions for GOR Best Practice Award 2023, GOR Thesis Award, 2023 and the Track D Session “Innovation in Practice”
21 May 2023: Extended Deadline for abstract submissions for GOR Best Practice Award 2023 & Track D Session “Innovation in Practice”
31 May 2023: Deadline for Poster submissions (incl. GOR Poster Award 2023) and presenting author registration (usually the first author)
25 June 2023: Deadline for early bird registration & for presenters of a Poster, Track D and Best Practice nominees (usually one presenter from the research company and one presenter from the customer side)

Submission Format and Submission Procedure

The official conference language is English. Abstracts should be submitted online to one of the tracks via https://www.conftool.org/gor23

The abstract can be up to 350 words. Abstracts will be peer-reviewed with respect to the quality of each of the four paragraphs in the abstract.

Template for abstract submission (except for Track D “Innovation in Practice”):

Relevance & Research Question: —your text here—

Methods & Data: —your text here—

Results: —your text here—

Added Value: —your text here—

Please use the above template for your abstract submission (one paragraph for each criterion and include the keywords at the beginning of each paragraph). Incomplete abstracts with respect to the formal criteria above are likely to be rejected. Please note that purely promotional presentations will not be considered. Submissions that do not focus on online research but, for example, merely use online data collection (e.g., through a web survey) to answer a substantive research question might also not be considered. If your research is still work in progress, and therefore final empirical results are not available by the time of submission, you will be asked to hand in your results later. In this case, please note in the comments field during submission at what date you will be able to update your abstract. Please note that we cannot accept presentations unless final results are available. Please consider a poster presentation for work in progress. Presentations last 15 minutes followed by 5 minutes of discussion.

Review Process

All abstracts are scored in a double-blind peer review by members of the GOR International Board of Reviewers according to the criteria mentioned in the submission format (clarity and quality of the four aspects: relevance & research question, methods & data, results, added value). Most submissions receive feedback and comments from 3 reviewers, together with the final decision of acceptance or rejection. The chances of acceptance are increased if all four criteria are addressed in the abstract. The programme committee is in charge of the final decisions based on the reviews. In case of multiple submissions by the same author(s) the programme committee reserves the right to limit the number of accepted submissions.

Members of the programme committee are:

Assistant Prof. Dr. Bella Struminskaya (Programme chair), DGOF Board & Utrecht University

Prof. Dr. Simon Kühne (Vice programme chair), DGOF Board & Bielefeld University

Dr. Otto Hellwig (Track A), DGOF Board and respondi & Bilendi

Dr. Carina Cornesse (Track A), DIW Berlin

Dr. Stefan Oglesby (Track B), DGOF Board & Data IQ AG

Prof. Dr. Florian Keusch (Track B), DGOF Board & University of Mannheim

Anna Rysina (Track C), Kantar Public

Dr. Bernhard Clemm von Hohenberg (Track C), University of Amsterdam

Yannick Rieder (GOR Best Practice Award 2023 competition), The Janssen Pharmaceutical Companies of Johnson & Johnson

Alexandra Wachenfeld-Schell (GOR Best Practice Award 2023 competition), DGOF Board & GIM Gesellschaft für Innovative Marktforschung

Dr. Olaf Wenzel (GOR Thesis Award 2023 competition), Wenzel Marktforschung