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Media Content Production & Analysis

Home / Research / Work Package 3

About us

Home / Research / Work Package 3

/ Introduction

WP3 will produce novel tools for computational journalism to produce quality generated content in terms of both trustworthiness and engagement as well as fact checking software. Central research questions are: How can we computationally produce unbiased, high-quality multi-modal content effectively? How can we analyse user-generated content accurately to generate more valuable insights? 

Objective: We aim to develop solutions that produce verified and relevant content effectively while employing engaging narratives. We will collaborate closely with media production companies to integrate and test the methods and tools we develop in realistic production settings, thus increasing industry relevance. Our ultimate objective is to analyse user-generated and other media content with respect to quality and validity, extract data, information and knowledge from media content and provide this to algorithms that support (semi-)automated multi-modal content production. 

/ Introduction

WP3 will produce novel tools for computational journalism to produce quality generated content in terms of both trustworthiness and engagement as well as fact checking software. Central research questions are: How can we computationally produce unbiased, high-quality multi-modal content effectively? How can we analyse user-generated content accurately to generate more valuable insights? 

Objective: We aim to develop solutions that produce verified and relevant content effectively while employing engaging narratives. We will collaborate closely with media production companies to integrate and test the methods and tools we develop in realistic production settings, thus increasing industry relevance. Our ultimate objective is to analyse user-generated and other media content with respect to quality and validity, extract data, information and knowledge from media content and provide this to algorithms that support (semi-)automated multi-modal content production. 

/ Introduction

WP3 will produce novel tools for computational journalism to produce quality generated content in terms of both trustworthiness and engagement as well as fact checking software. Central research questions are: How can we computationally produce unbiased, high-quality multi-modal content effectively? How can we analyse user-generated content accurately to generate more valuable insights? 

Objective: We aim to develop solutions that produce verified and relevant content effectively while employing engaging narratives. We will collaborate closely with media production companies to integrate and test the methods and tools we develop in realistic production settings, thus increasing industry relevance. Our ultimate objective is to analyse user-generated and other media content with respect to quality and validity, extract data, information and knowledge from media content and provide this to algorithms that support (semi-)automated multi-modal content production. 

/ People

Bjørnar Tessem

Bjørnar Tessem

Work Package Co-Leader & Task Leader

Andreas Lothe Opdahl

Andreas Lothe Opdahl

Work Package Leader & Task Leader

Duc-Tien Dang-Nguyen

Duc-Tien Dang-Nguyen

Task Leader

Enrico Motta

Enrico Motta

Work Package Advisor & Key Researcher

The Open University

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Vinay Setty

Vinay Setty

Task Leader

Are Tverberg

Are Tverberg

Industry WP3 Co-Leader

TV 2

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Sohali Ahmed Khan

Sohali Ahmed Khan

PhD Candidate

Ulrik Wilhelm Koren

Ulrik Wilhelm Koren

Research Assistant

Torstein Hatlebakk

Torstein Hatlebakk

Research Assistant

/ Publications

2021

Automatiske nyhende Online

Lars Nyre; Bjørnar Tessem

Dag og Tid 2021, visited: 26.03.2021.

BibTeX | Links:

2020

A knowledge-graph platform for newsrooms Journal Article

Arne Berven; Ole A. Christensen; Sindre Moldeklev; Andreas Lothe Opdahl; Kjetil A. Villanger

Computers in Industry, 123 (103321), 2020, (Pre SFI).

Abstract | BibTeX | Links:

Experiments in Lifelog Organisation and Retrieval at NTCIR Book Chapter

Cathal Gurrin; Hideo Joho; Frank Hopfgartner; Liting Zhou; Rami Albatal; Graham Healy; Duc-Tien Dang Nguyen

Evaluating Information Retrieval and Access Tasks, Chapter 13, pp. 187-203, Springer, Singapore, 2020, (Pre SFI).

Abstract | BibTeX | Links:

AI-KG: an automatically generated knowledge graph of artificial intelligence Conference

Danilo Dessì; Francesco Osborne; Diego Reforgiato Recupero; Davide Buscaldi; Enrico Motta; Harald Sack

nternational Semantic Web Conference, Springer, 2020, (Pre SFI).

Abstract | BibTeX | Links:

Truth be told: Fake news detection using user reactions on reddit Journal Article

Vinay Setty; Erlend Rekve

Proceedings of the 29th acm international conference on information knowledge management, pp. 3325–3328, 2020, (Pre SFI).

Abstract | BibTeX | Links:

Analysis and design of computational news angles Journal Article

Enrico Motta; Enrico Daga; Andreas Lothe Opdahl; Bjørnar Tessem

IEEE Access, 8 , pp. 120613-120626, 2020, (Pre SFI).

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Ontologies for finding journalistic angles Journal Article

Andreas Lothe Opdahl; Bjørnar Tessem

Software and Systems Modeling, pp. 1-17, 2020, (Pre SFI).

Abstract | BibTeX | Links:

Brenda: Browser extension for fake news detection Journal Article

Bjarte Botnevik; Eirik Sakariassen; Vinay Setty

Proceedings of the 43rd international acm sigir conference on research and development in information retrieval, pp. 2117–2120, 2020, (Pre SFI).

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Towards a Framework for Visual Intelligence in Service Robotics: Epistemic Requirements and Gap Analysis Journal Article

Agnese Chiatti; Enrico Motta; Enrico Daga

Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning (KR 2020), pp. 905–916, 2020, (Pre SFI).

Abstract | BibTeX | Links:

Named entity extraction for knowledge graphs: A literature overview Journal Article

Tareq Al-Moslmi; Marc Gallofré Ocaña; Andreas Lothe Opdahl; Csaba Veres

IEEE Access, 8 , pp. 32862-32881, 2020, (Pre SFI).

Abstract | BibTeX | Links:

Morphological filter detector for image forensics applications Journal Article

G. Boato; Duc-Tien Dang Nguyen; F.G.B. De Natale

IEEE Access, 8 , pp. 13549-13560, 2020, (Pre SFI).

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2019

Analogical News Angles from Text Similarity Conference

Bjørnar Tessem

Artificial Intelligence XXXVI, (11927), Springer International Publishing, 2019, (Pre SFI).

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Capturing themed evidence, a hybrid approach Conference

Enrico Daga; Enrico Motta

roceedings of the 10th International Conference on Knowledge Capture, 2019, (Pre SFI).

Abstract | BibTeX | Links:

Hierarchical attention networks to learn latent aspect embeddings for fake news detection Conference

Rahul Mishra; Vinay Setty

Proceedings of the 2019 acm sigir international conference on theory of information retrieval, Association for Computing Machinery, New York, 2019, (Pre SFI).

Abstract | BibTeX | Links:

Supporting Journalistic News Angles with Models and Analogies Conference

Bjørnar Tessem; Andreas Lothe Opdahl

2019 13th International Conference on Research Challenges in Information Science (RCIS), 2019, (Pre SFI).

Abstract | BibTeX | Links:

2018

Towards a big data platform for news angles Workshop

Marc Gallofré Ocaña; Lars Nyre; Andreas Lothe Opdahl; Bjørnar Tessem; Christoph Trattner; Csaba Veres

Norwegian Big Data Symposium 2018, 2018, (Pre SFI).

Abstract | BibTeX | Links:

Challenges and opportunities within personal life archives Conference

Duc-Tien Dang Nguyen; Michael Alexander Riegler; Liting Zhou; Cathal Gurrin

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018, (Pre SFI).

Abstract | BibTeX | Links:

Neural embeddings for news events Conference

Vinay Setty; Katja Hose

The 41st international acm sigir conference on research development in information retrieval, Association for Computing Machinery Association for Computing Machinery, New York, 2018, (Pre SFI).

Abstract | BibTeX | Links:

AUGUR: forecasting the emergence of new research topics Conference

Angelo Antonio Salatino; Francesco Osborne; Enrico Motta

Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018, (Pre SFI).

Abstract | BibTeX | Links:

2017

Verifying information with multimedia content on twitter: A comparative study of automated approaches Journal Article

Christina Boididou; Stuart Middleton; Zhiwei Jin; Symeon Papadopoulos; Duc-Tien Dang Nguyen; G. Boato; Ioannis (Yiannis) Kompatsiaris

Multimedia Tools and Applications, 77 (12), pp. 15545-15571, 2017, (Pre SFI).

Abstract | BibTeX | Links:

Multimodal Retrieval with Diversification and Relevance Feedback for Tourist Attraction Images Journal Article

Duc-Tien Dang Nguyen; Luca Piras; Giorgio Giacinto; G. Boato; Francesco G. B. DE Natale

14 (4), pp. 1-24, 2017, (Pre SFI).

Abstract | BibTeX | Links:

Modeling event importance for ranking daily news events Conference

Vinay Setty; Abhijit Anand; Arunav Mishra; Avishek Anand

Proceedings of the tenth acm international conference on web search and data mining, Association for Computing Machinery New York, 2017, (Pre SFI).

Abstract | BibTeX | Links:

Business models for academic prototypes: A new approach to media innovation Journal Article

Lars Nyre; Joao Ribeiro; Bjørnar Tessem

he Journal of Media Innovations, 4 (2), pp. 4-19, 2017, (Pre SFI).

Abstract | BibTeX | Links: