On Wednesday, April 5, 2023, took place the online webinar “faCT or faKE? Disinformation in digital social networks”. This is the first action of the AUTh Citizen Science Hub after its establishment and was organized in collaboration with the Data and Web Science Laboratory (Datalab). The webinar was attended by approximately 200 participants, among them […]
After 3 and a half years of intensive research and innovation, we are all excited we have organized and participated in the DATUM workshop, the last time we all met in person within the RAIS Consortium. The 1st International Workshop on Data Analytics for Personal & Ubiquitous Computing was co-located with the EDBT/ICDT joint Conference
The Citizen Science Hub of the Aristotle University in Thessaloniki in cooperation with the Data and Web Science Laboratory of AUTH (Datalab) co-organizes with the Directorates of primary education in Pella, Eastern Thessaloniki, Western Thessaloniki, Western Attica, and with the Directorates of secondary education in Pella, Eastern Thessaloniki, Western Thessaloniki through the Heads of School
Online Webinar “faCT or faKE? Disinformation in digital social networks” Read More »
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
Prof. Athena Vakali, director of Datalab, will present a lecture on the subject of “Bot Detection in Online Social Networks” under the Data Science Lecture Series
Lecture on “Bot Detection in Online Social Networks” by Prof. Athena Vakali Read More »
Real and Virtual Social Interactions and Reciprocities via efficient sentiment and affective analysis methodologies for extracting or recording and analyzing emotional information in real and virtual life. Detect and characterize patterns of ‘online’ communication with patterns of ‘offline’ or face to face communication in real social networks and studying patterns of human emotions in real
Cloud-based framework for social networks trends detection and analysis via real-time large-scale data clustering techniques, evolving social graph mining with tailored data preprocessing and cleaning. Emphasis placed on analyzing societal concerns and reaching consensus on collective decision-making via tailored web mining techniques which utilize the cloud infrastructure Venus-C to help address the challenges posed by
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
Social networks nowadays are big data production engines. Their analytics can produce insights on trending topics that can be used in various domains, from advertising to politics. Social media trends are also indicators for various phenomena, from opinion shifts to emergency situations and even disease outbreaks. However, the prediction of a social network’s topic as
