MEMO98
MEMO98 is a non-profit non-government organisation that has been monitoring the media in context of elections and other events for more than 20 years, and has carried out its activities in more than 50 countries. Recently, the organisation has also been dealing with the impact of social media on the integrity of electoral processes.
The information environment has significantly changed in recent years, especially due to the advent of social media. Apart from some positive aspects, such as the enhanced possibilities of receiving and sharing information, social media has also enabled the dissemination of misinformation to a wide audience quickly and at low cost. MEMO98 analysed the election campaign of the parliamentary elections held on July 11, 2021 in Moldova on five social media platforms: Facebook, Instagram, Odnoklassniki, Telegram and YouTube.
Social media data was collected using CrowdTangle (a Facebook-owned social media analysis tool). The number of posts interactions of candidates and individual political parties on Facebook alone was 1.82 million. The number of posts interactions of party chairmen climbed to 1.09 million. Prior to the start of this project, MEMO98 had no experience with using tools for big data processing and analysis. NCC experts helped design a solution for data processing and visualization utilizing the freely available software Gephi [1] in the HPC environment. The output is a so-called network map, an interactive scheme for finding and analysing the dissemination of specific terms and web addresses in the context of the election campaign. As part of the project, NCC also provided access to computing resources for solution testing, as well as individual training so that MEMO98 can work independently with this solution in the HPC environment in the future.
Preliminary results and conclusions of the monitoring are published by MEMO98 on its website [2].
References
[1] Bastian M., Heymann S., Jacomy M. (2009). Gephi: an open source software for exploring and manipulating networks. International AAAI Conference on Weblogs and Social Media.
[2] Network mapping, Moldova Early Parliamentary Elections July 2021, Monitoring of Social Media – Preliminary Findings. Available here:
https://memo98.sk/article/moldovan-social-media-reflected-a-division-in-society
Intent Classification for Bank Chatbots through LLM Fine-Tuning 12 Sep - Tento článok hodnotí použitie veľkých jazykových modelov na klasifikáciu intentov v chatbote s preddefinovanými odpoveďami, určenom pre webové stránky bankového sektora. Zameriavame sa na efektivitu modelu SlovakBERT a porovnávame ho s použitím multilingválnych generatívnych modelov, ako sú Llama 8b instruct a Gemma 7b instruct, v ich predtrénovaných aj fine-tunovaných verziách. Výsledky naznačujú, že SlovakBERT dosahuje lepšie výsledky než ostatné modely, a to v presnosti klasifikácie ako aj v miere falošne pozitívnych predikcií.
Leveraging LLMs for Efficient Religious Text Analysis 5 Aug - The analysis and research of texts with religious themes have historically been the domain of philosophers, theologians, and other social sciences specialists. With the advent of artificial intelligence, such as the large language models (LLMs), this task takes on new dimensions. These technologies can be leveraged to reveal various insights and nuances contained in religious texts — interpreting their symbolism and uncovering their meanings. This acceleration of the analytical process allows researchers to focus on specific aspects of texts relevant to their studies.
Mapping Tree Positions and Heights Using PointCloud Data Obtained Using LiDAR Technology 25 Jul - Cieľom spolupráce medzi Národným superpočítačovým centrom (NSCC) a firmou SKYMOVE, v rámci projektu Národného kompetenčného centra pre HPC, bol návrh a implementácia pilotného softvérového riešenia pre spracovanie dát získaných technológiou LiDAR (Light Detection and Ranging) umiestnených na dronoch.