Web site editor

This web site is edited by the Luxembourg Institute of Science and Technology (LIST). For any question concerning this web site or its content, do not hesitate to contact us:

Luxembourg Institute of Science and Technology

Att: Fintan MC GEE

5, avenue des Hauts Fourneaux

L-4362 Esch-sur-Alzette

Luxembourg

Email: fintan.mcgee@list.lu

RCS number: J53

VAT number:  LU 27327040

Purpose

This website is dedicated to the project entitled “Integrating CONtent and NETwork structure for detecting, understanding, and mitigating online misbehaviour – CON-NET”. 

The project is a CHIST-ERA project and is run by the following partners:

1. LIST 

2. Aalto University, Finland

3. Sabanci University, Turkey

4. University of Limerick, Ireland

5. Vrije Universiteit Brussel, Belgium

Online misbehaviour means that the information received via social media cannot be taken at face value. Sharing of misleading, out of context or simply false information, and coordination of behaviours ("brigading") distorts the quality of information we receive online, regardless of whether the misbehaviour is intentional. Additionally, by design, each user of modern internet products (e.g., search; social media) is exposed to a unique view of the information landscape without necessarily realizing that this is the case. Every user should be able to answer the questions: "How am I being misinformed?" and "How does my unique position shape the information I receive?" Leveraging a multilayer network approach to detect misbehaviour and describe users' positions in the dynamic information space, the CON-NET project will enable users to answer these questions for themselves or indeed any other network entity. CON-NET will apply machine learning techniques to process the vast amounts of data and identify trends, signals, and suspicious behaviours as well as misbehaving entities, and we will further augment this with a visual analytics approach, including a human in the loop to provide context and human understanding of the concept of misinformation. We will address the complexity of online social media networks by taking a multilayer network approach to their analysis. The aspects for the network will characterise the different platforms, types of entities and interactions, language, media, as well as how they evolve over time. The multilayer network will be annotated via the machine learning and visualised via an online platform. This platform will push back the frontiers of multilayer network visualization to allow an end user to better understand the source and impact of online misbehaviour and misinformation.

Funding

The CON-NET project has received funding from FNR, the Academy of Finland, Tübitak and the Irish research Council.

Use of this website

LIST and the consortium members within the CON-NET project accept no responsibility with regard to:

• the use of the information published in this web site. Its content is provided on an indicative basis only. It may not be fully complete, exhaustive or updated;
• any and all damages which may occur on your IT installation using this web site; and 

• any service interruption of this web site, whether temporary or permanent.

   

This web site may provide links to sites that are not under LIST or the consortium members within the CON-NET project's control. Therefore, we accept no responsibility with any of their content, products or services.

The present liability section is not intended to limit any requirements laid down in applicable law or to exclude liability for matters which may not be excluded under applicable law.

Intellectual Property

This website (including any text, image, video or software) is protected by Intellectual Property, including copyright, trademarks and patents. LIST and the consortium members within the CON-NET project (and its licensors) reserves all these rights.

@2022, all rights reserved.

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Modifications

We may change this legal notice at any time and without any prior notice. 

Applicable law and jurisdiction

This legal notice and the use of this website shall be governed by the law of Luxembourg and any related litigation subject to the exclusive Luxembourg jurisdiction.