A knowledge-graph platform for newsrooms

Berven, Arne; Christensen, Ole A.; Moldeklev, Sindre; Opdahl, Andreas L.; Villanger, Kjetil J.

doi:10.1016/j.compind.2020.103321

Cited by 13 publications

(10 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The developed system incorporated various KG embedding approaches so as to retrieve, for a given entity (i.e., publication, author, domain and venue), all related and semantically-matched entities. Other studies were further established systems over KGs to benefit news and journalism domain [174][175][176].…”

Section: Society and Politicsmentioning

confidence: 99%

Domain-specific knowledge graphs: A survey

Abu-Salih

2021

Journal of Network and Computer Applications

211

View full text Add to dashboard Cite

Section: Society and Politicsmentioning

confidence: 99%

Domain-specific knowledge graphs: A survey

Abu-Salih

2021

Journal of Network and Computer Applications

211

View full text Add to dashboard Cite

“…This creative process involves different tasks such as discovering, collecting, organising, contextualising and publishing [56,57]. JKPs guide news professionals in writing up their stories [29], support them with contextual background knowledge [12,13,29], provide the means for comparing current events with other events [23] and facilitate access to previous work for creating similar content for a different audience, region or language [42]. JKPs also support news professionals with verification [58] tasks like fact-checking [19,59], provenance [15], rights and authorship management [35].…”

Section: Personalisationmentioning

confidence: 99%

“…Compared to this study, Opdahl et al [28] was not restricted to JKPs and did not analyse the challenges and opportunities nor the current and future directions of JKPs. We conducted a qualitative meta-analysis (see Appendix A for a detailed description of the meta-analysis method), and we examined the existing JKPs in light of our experiences with developing JKPs along with an industry partner for the international newsroom market [29].…”

Section: Introductionmentioning

confidence: 99%

Supporting Newsrooms with Journalistic Knowledge Graph Platforms: Current State and Future Directions

Ocaña

Opdahl

2022

Technologies

View full text Add to dashboard Cite

Increasing competition and loss of revenues force newsrooms to explore new digital solutions. The new solutions employ artificial intelligence and big data techniques such as machine learning and knowledge graphs to manage and support the knowledge work needed in all stages of news production. The result is an emerging type of intelligent information system we have called the Journalistic Knowledge Platform (JKP). In this paper, we analyse for the first time knowledge graph-based JKPs in research and practice. We focus on their current state, challenges, opportunities and future directions. Our analysis is based on 14 platforms reported in research carried out in collaboration with news organisations and industry partners and our experiences with developing knowledge graph-based JKPs along with an industry partner. We found that: (a) the most central contribution of JKPs so far is to automate metadata annotation and monitoring tasks; (b) they also increasingly contribute to improving background information and content analysis, speeding-up newsroom workflows and providing newsworthy insights; (c) future JKPs need better mechanisms to extract information from textual and multimedia news items; (d) JKPs can provide a digitalisation path towards reduced production costs and improved information quality while adapting the current workflows of newsrooms to new forms of journalism and readers’ demands.

show abstract

“…As technology develops, the printed media readers also use the Internet in their daily life which causes a high frequency of internet usage among the printed media readers. News platforms, or journalistic knowledge platforms, support computational journalism through integrated content and software components that support all stages of news production (Berven et al, 2020).…”

mentioning

confidence: 99%

“…Journalism is challenged by digitalisation and social media, resulting in lower subscription numbers and reduced advertising income. Information and communication techniques (ICT) offer new opportunities (Berven et al, 2020). Also, from the perspective of human interest journalism, which is guided by commercial logic and oriented to readers as consumers, the media is seen as having the capacity to sell consumers to advertising organizations (Lica, 2013) Discussing suaramerdeka.com from the description above, there are several things that need to be underlined for further study.…”

mentioning

confidence: 99%

Information Disruption in Online Journalism in the Era of the Industrial Revolution 5.0

Lestari

Fitri

2021

JTM

View full text Add to dashboard Cite

This study examines the barriers to online journalism in the 5.0 industry era in facing market competition. This research was conducted on suaramerdeka.com as a large newspaper company in Central Java that can still survive in the midst of global competition in the mass media competition. Critical perspective with Fairclough's Critical Discourse Analysis design used in this study. The novelty of this research is specifically to answer the challenges of online journalism in the era of the industrial revolution 5.0 in terms of human resources. The findings of this study are related to the routine of news production in the suaramerdeka.com media, the speed of news updates, the accuracy and balance of the news. The human resources of news seekers and editing teams are not yet fully prepared to face the challenges of the new era. The results of this study shows that 1) the news production dependent on HR factor, company factor and managing editor; 2) the news delivery planning dependent on the market need, the news content of the printed Suara Merdeka aims at fulfilling the needs of the people of Central Java, suaramerdeka.com seeks to meet the needs of the people of Central Java around the world.

show abstract

A knowledge-graph platform for newsrooms

Cited by 13 publications

References 16 publications

Domain-specific knowledge graphs: A survey

Domain-specific knowledge graphs: A survey

Supporting Newsrooms with Journalistic Knowledge Graph Platforms: Current State and Future Directions

Information Disruption in Online Journalism in the Era of the Industrial Revolution 5.0

Contact Info

Product

Resources

About