The second RAT Community Meeting on 27th September in Hamburg will gather researchers interested in utilizing search engine data for their research.
Key features of the program include:
- Showcases: Gain insights into how respected researchers use RAT to investigate a wide range of topics such as climate change, politics, health, and more.
- Tutorials: Learn how to effectively use this powerful tool in your research, from data collection to in-depth analysis. Improve your skills and unlock RAT‘s potential.
- Developer Session: Join us for an in-depth developer session where we’ll explore the full potential of RAT and discuss how to extend RAT together.
- Poster Session: Explore how RAT has been applied in various research projects and how RAT’s functionality has been expanded through add-ons.
Program:
9:00 – 9:30: Welcome
9:30 – 11:00: Introductory Talks
- RAT: A flexible tool for search engine studies – Dirk Lewandowski
This talk introduces the RAT software and its components. You will learn what types of studies can be conducted using the software. Furthermore, RAT’s modules for designing studies, collecting data, collecting assessments from jurors, and automatic data analysis will be explained.
- What’s new in RAT? – Sebastian Sünkler and Tuhina Kumar
Over the last year, we’ve added a lot of new functionality to RAT, which makes the software even more flexible. Furthermore, an improved user interface makes designing and conducting studies much easier.
- Generating queries for your search engine study – Dirk Lewandowski
The first step in search engine studies is to generate a list of queries. Often, researchers just use what comes to mind or use pre-defined list of query words. However, do people actually search for these words? RAT can help you generate query lists that consider how often these queries are searched for.
11:00 – 13:00: Hands-on tutorials and Developer Session
- How to RAT? A Hands-On Tutorial to Designing and Conducting Studies With RAT – Sebastian Schultheiß and Tuhina Kumar
In this tutorial, you will explore the functionality of RAT and design your own studies. You will be introduced to creating a study, collecting data from search engines, and analyzing the results.
- Evidential value of search engine studies – Dirk Lewandowski
Search engine studies are often criticized, among others, for the arbitrary choice of search queries and the low number of results considered. With RAT and add-ons like the Query Sampler, we address some of these concerns. However, much more needs to be done to increase the evidential value of search engine studies. In this tutorial, participants will discuss how to improve research designs for such studies and how the collected data can be analyzed to obtain meaningful results. The tutorial will contain a presentation and group discussions.
- Developer Session for RAT – Sebastian Sünkler
Join us for an in-depth developer session where we’ll explore the full potential of RAT. This session is designed to guide you through the process of setting up and configuring your own installation, ensuring that you have complete control over your environment. We’ll also delve into the mechanics of extending RAT, providing insights into how you can customize and enhance its functionality to better suit your needs.
Additionally, we will open the floor for a collaborative discussion on the future development of the software. This is a unique opportunity to exchange ideas, discuss potential features, and explore avenues for future collaboration in improving and expanding the software together.
13:00 – 14:00: Lunch break
14:00 – 16:15: Showcases
- Tracing the Climate Change Counter Movement across platforms. Reflections on the role of search engines – Jutta Haider, University of Borås, Sweden
- Bias in Library Search Systems – Daniel Klein, Hamburg University of Applied Sciences, Germany
Libraries use search engines to enable users to explore the entire collection quickly. In contrast to Google or Bing, the search results displayed by online library systems are considered neutral and objective, although they can also be biased according to specific criteria. However, little research has been done into the biases of library search engines to date. We investigated the search results of the online library catalogue Katalogplus from the Hamburg State and University Library for system-based biases. The results illustrate the need for more scientific research into library search systems.
- Active break including a quiz – Helena Häußler
- Which parties would Google and Bing support in the 2024 European Parliament election? An analysis of stance in their search results – Hanna Käfer, Hamburg University of Applied Sciences, Germany
- How helpful is Dr. Google when you’ve got a sexually transmitted disease? Comparing
Search Engines for Health Information – Aylin Imeri, Ruhr University Bochum, Germany
Nowadays, apart from asking or seeking advice from doctors, Dr. Google seems to be another option for individuals. According to the Statista Research Department (August 26, 2024), about 46% of people living in Germany searched for health-related information on Google in 2023.
In our case study, we show to what extent the three search engines (Google, Bing and DuckDuckGo) have similarities and differences when it comes to information about sexually transmitted diseases (STD). Among other aspects, we analyzed whether a website was search engine optimized (SEO) and what type of domains were represented between the three search engines.
16:15 – 18:00: Poster session and Get together
- Natalie Tutzer, Take Part Media + Science; PH Freiburg: SEO for reliable healthcare information online
- Duc Tran, Hamburg University of Applied Sciences: The Manosphere: How a pro-gender ideology is presented in Google’s and Bing’s search results
- Ritu Shetkar, University of Duisburg-Essen: Visualizing retrieval study results
- Esther von der Weiden, University of Duisburg-Essen: To what degree do news websites point to external sources?
- Mazlum Demirpence, University of Duisburg-Essen: Representation of Political Topics in Search Engines
- Kiran Mishra, University of Duisburg-Essen: Development of a classifier to measure the commerciality of Web Documents
- Affaf Asif, University of Duisburg-Essen: Does Google prefer websites with AdSense advertising?
- Kardelen Bilir, University of Duisburg-Essen: Topic Extraction and Generation From Websites
- Camilla De Amicis: The SEO Effect. Mapping the optimized landscape around controversial policy issues in Italy