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NeMig - A Bilingual News Collection and Knowledge Graph about Migration

Iana, Andreea; Alam, Mehwish; Grote, Alexander 1,2; Nikolajevic, Nevena 3; Ludwig, Katharina; Müller, Philipp; Weinhardt, Christof ORCID iD icon 3; Paulheim, Heiko
1 FZI Forschungszentrum Informatik (FZI)
2 Karlsruher Institut für Technologie (KIT)
3 Institut für Wirtschaftsinformatik und Marketing (IISM), Karlsruher Institut für Technologie (KIT)

Abstract:

ews recommendation plays a critical role in shaping the public’s worldviews through the way in which it filters and disseminates
information about different topics. Given the crucial impact that media plays in opinion formation, especially for sensitive topics,
understanding the effects of personalized recommendation beyond accuracy has become essential in today’s digital society. In this work,
we present NeMig, a bilingual news collection on the topic of migration, and corresponding rich user data. In comparison to existing
news recommendation datasets, which comprise a large variety of monolingual news, NeMig covers articles on a single controversial
topic, published in both Germany and the US. We annotate the sentiment polarization of the articles and the political leanings of the
media outlets, in addition to extracting subtopics and named entities disambiguated through Wikidata. These features can be used to
analyze the effects of algorithmic news curation beyond accuracy-based performance, such as recommender biases and the creation of
filter bubbles. We construct domain-specific knowledge graphs from the news text and metadata, thus encoding knowledge-level
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Verlagsausgabe §
DOI: 10.5445/IR/1000165958
Veröffentlicht am 28.12.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Wirtschaftsinformatik und Marketing (IISM)
KIT-Bibliothek (BIB)
Publikationstyp Proceedingsbeitrag
Publikationsmonat/-jahr 11.2023
Sprache Englisch
Identifikator ISSN: 1613-0073
KITopen-ID: 1000165958
Erschienen in Proceedings of the International Workshop on News Recommendation and Analytics co-located with the 2023 ACM Conference on Recommender Systems (RecSys 2023)
Veranstaltung 11th International Workshop on News Recommendation and Analytics in Conjunction with ACM RecSys (INRA 2023), Singapur, Singapur, 18.09.2023 – 23.09.2023
Verlag CEUR-WS
Serie CEUR Workshop Proceedings ; Art.-Nr.: 3561
Vorab online veröffentlicht am 23.11.2023
Nachgewiesen in Scopus
arXiv
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