The journalistic revelations about the Greek wiretapping scandal have intensified user engagement in the digital conversation. About 70% of the relevant tweets are posted by accounts that tend to mostly follow parties and members of the political Left than the Right. In any case, this conversation continues to polarize the two groups. iMEdD Lab and […]
We would like to thank iMΕdD – incubator for Media Education and Development. and Kelly Kiki for their article featuring the Ukraine Data Observatory (https://undo.csd.auth.gr/), a web app developed by our team. Check out the article here.
Check out how the Ukraine Data Observatory (UNDO) has been disseminated through media during the past few days. Below, you can find some indicative links from greek press websites and our latest interview with ERT, where Ilias Dimitriadis explains UNDO in detail at Omicron 3 tv show. In order to check out the tool visit
The Ukraine Data Observatory (by Datalab AUTh) is a platform for analyzing and visualizing data related to the war between Ukraine and Russia that broke out on February 24, 2022. It collects tweets from the social network of Twitter, and aims to inform the international community about the related trends, discussed topics, and most active
The Twitter Monitoring App has been launched by members of the Data and Web Science Lab (DATALAB), the research group of the Department of Informatics, Aristotle University of Thessaloniki, Greece, being specialized in ICT research and innovation on data science and multi-scope analytics. The current implementation is part of a data research and analysis project commonly initiated and collaboratively implemented with iMEdD Lab, the data journalism unit of the non-profit journalism organization iMEdD(incubator for Media Education and Development), located in Athens, Greece, with a mission to support transparency, meritocracy, and excellence in the journalism field.
Political polarization refers to the divergence of political opinions away from the center / neutral opinions towards ideological extremes. Political discussions can frequently become polarized, a phenomenon becoming more intense in social media discussions, such as Twitter.
The project aimed at detecting user communities (in Twitter) based on users’ mentions and conversations in the context of specific topics. It has managed monitoring activity in microblogs (Twitter) to detect when and how communities evolve (emerge, gain / lose strength, merge, collapse) and also analyzed users’ activity in the identified communities to discover their
