Conference on Harmful Online Communication (CHOC2023)

Harmful Online Communication refers to a variety of ongoing activities on communication platforms such as Twitter, Facebook, TikTok, Telegram and many more. Independent of the platform, harm can, for example, occur in the form of hate speech towards different groups, including racist or sexist content. Harmful online communication can also include aspects of mis- and disinformation, or threats of physical violence. Depending on the type of content, different strategies may be needed to detect it and to apply appropriate counter measures.

The aim of this conference is to bring together a group of experts in computer-based detection and analysis of harmful online communication to discuss new developments in the field. The focus will lie on theoretical concept definitions, data quality, and comparative measurement tools. This will benefit the field of harmful online communication studies by building a community around validity and reliability and creating a baseline that can inform the building of comparative research and shared knowledge. The output of the conference will inform the future work in Computational Social Sciences and help more traditional social scientists to improve their use of data from online platforms.

16th – 17th November 2023

The conference will be hybrid. The onsite part will take place at the GESIS Leibniz Institute of Social Sciences in Cologne. We have limited capacities for onsite participants. Priority will be given to participants who were selected in the call for abstracts (see below), additional seats will be made available after the call is closed. Online participation will be available independently of the call. Registration (via GESIS Training).

Meet the experts – GESIS online talks on Social Science Methods and Research Data

The meet-the-experts season Data Services, Data Archiving, and Research Data Management covers core activities of GESIS. These activities aim at handling quantitative research data published by external researchers as well as by researchers from our own institute. We introduce the criteria for a trustworthy digital repository, show how GESIS ensures high quality of research data through its Data Services, and present how standardized metadata can help to find, analyze, and reuse existing datasets.

Introduction to domain-specific data infrastructures: DP-R|EX

Research data infrastructures (RDI) address the information needs of researchers when searching for existing data and when dealing with data they have collected themselves. In the past, it has been shown that domain-specific services are particularly popular among research communities. One of the reasons lies in the preselection of relevant topical data and further helpful information, as studies are often described only in general terms and thus it is difficult to obtain detailed information easily. On the other hand, domain-specific RDIs can employ the terminologies used in the corresponding research to describe the contents and methods more profoundly. In this session, Alexander Jedinger (GESIS), Marlene Hilgenstock (GESIS), and Pascal Kolkwitz-Anstötz (GESIS) will give an overview of the claims and benefits of the BMBF-funded project “data portal for racism and right-wing extremism research: DP-R|EX”. In addition, they will provide insights in the development and use of an own integrated data explorer and outline the documentation standards (metadata) that have been developed to support the purposeful search of topical data.

Tuesday, 9th November 2023
13:00-14:00 (CET)

The Lecture will be held in English. Registration (via Zoom). Update: the slides are available here.

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