Agnieszka Karlińska

Also published as: Agnieszka Karlinska


2024

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BAN-PL: A Polish Dataset of Banned Harmful and Offensive Content from Wykop.pl Web Service
Anna Kolos | Inez Okulska | Kinga Głąbińska | Agnieszka Karlinska | Emilia Wisnios | Paweł Ellerik | Andrzej Prałat
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

Since the Internet is flooded with hate, it is one of the main tasks for NLP experts to master automated online content moderation. However, advancements in this field require improved access to publicly available accurate and non-synthetic datasets of social media content. For the Polish language, such resources are very limited. In this paper, we address this gap by presenting a new open dataset of offensive social media content for the Polish language. The dataset comprises content from Wykop.pl, a popular online service often referred to as the Polish Reddit, reported by users and banned in the internal moderation process. It contains a total of 691,662 posts and comments, evenly divided into two categories: harmful and neutral (non-harmful). The anonymized subset of the BAN-PL dataset consisting on 24,000 pieces (12,000 for each class), along with preprocessing scripts have been made publicly available. Furthermore the paper offers valuable insights into real-life content moderation processes and delves into an analysis of linguistic features and content characteristics of the dataset. Moreover, a comprehensive anonymization procedure has been meticulously described and applied. The prevalent biases encountered in similar datasets, including post-moderation and pre-selection biases, are also discussed.

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Using Bibliodata LODification to Create Metadata-Enriched Literary Corpora in Line with FAIR Principles
Agnieszka Karlinska | Cezary Rosiński | Marek Kubis | Patryk Hubar | Jan Wieczorek
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

This paper discusses the design principles and procedures for creating a balanced corpus for research in computational literary studies, building on the experience of computational linguistics but adapting it to the specificities of the digital humanities. It showcases the development of the Metadata-enriched Polish Novel Corpus from the 19th and 20th centuries (19/20MetaPNC), consisting of 1,000 novels from 1854–1939, as an illustrative case and proposes a comprehensive workflow for the creation and reuse of literary corpora. What sets 19/20MetaPNC apart is its approach to balance, which considers the spatial dimension, the inclusion of non-canonical texts previously overlooked by other corpora, and the use of a complex, multi-stage metadata enrichment and verification process. Emphasis is placed on research-oriented metadata design, efficient data collection and data sharing according to the FAIR principles as well as 5- and 7-star data standards to increase the visibility and reusability of the corpus. A knowledge graph-based solution for the creation of exchangeable and machine-readable metadata describing corpora has been developed. For this purpose, metadata from bibliographic catalogs and other sources were transformed into Linked Data following the bibliodata LODification approach.

2022

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Towards a contextualised spatial-diachronic history of literature: mapping emotional representations of the city and the country in Polish fiction from 1864 to 1939
Agnieszka Karlińska | Cezary Rosiński | Jan Wieczorek | Patryk Hubar | Jan Kocoń | Marek Kubis | Stanisław Woźniak | Arkadiusz Margraf | Wiktor Walentynowicz
Proceedings of the 6th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature

In this article, we discuss the conditions surrounding the building of historical and literary corpora. We describe the assumptions and method of making the original corpus of the Polish novel (1864-1939). Then, we present the research procedure aimed at demonstrating the variability of the emotional value of the concept of “the city” and “the country” in the texts included in our corpus. The proposed method considers the complex socio-political nature of Central and Eastern Europe, especially the fact that there was no unified Polish state during this period. The method can be easily replicated in studies of the literature of countries with similar specificities.