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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 Leader & Task Leader

Fazle Rabbi

Fazle Rabbi

Work Package Co-Leader

University of Bergen

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Andreas Lothe Opdahl

Andreas Lothe Opdahl

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

Eivind Throndsen

Eivind Throndsen

Work Package Industry leader

Schibsted

Sohali Ahmed Khan

Sohali Ahmed Khan

PhD Candidate

Bahareh Fatemi

Bahareh Fatemi

Researcher

Gunhui Xiao

Gunhui Xiao

Researcher

Yngve Lamo

Yngve Lamo

Researcher

Høgskulen på Vestlandet

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Sergej Stoppel

Sergej Stoppel

WolftTech

Lasse Lambrechts

Lasse Lambrechts

BT

Morten Langfeldt Dahlback

Morten Langfeldt Dahlback

Faktisk.no

Are Tverberg

Are Tverberg

Industry WP3 Co-leader

TV2 AS

Peter Røysland Aarnes

Peter Røysland Aarnes

PhD candidate

University of Stavanger

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/ Publications

2024

Adane Nega Tarekegn; Fazle Rabbi; Bjørnar Tessem

Large Language Model Enhanced Clustering for News Event Detection Conference

AIMEDIA : AI-based Media Disruption and Transformation, 2024.

Abstract | BibTeX | Links:

Sohail Ahmed Khan; Duc-Tien Dang-Nguyen

CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection Conference

ACM International Conference on Multimedia Retrieval (ICMR), 2024.

Abstract | BibTeX | Links:

2023

Bahareh Fatemi; Fazle Rabbi; Andreas L. Opdahl

Evaluating the Effectiveness of GPT Large Language Model for News Classification in the IPTC News Ontology Journal Article

In: IEEE Access, 2023.

Abstract | BibTeX | Links:

Sohail Ahmed Khan; Duc-Tien Dang-Nguyen

Deepfake Detection: Analysing Model Generalisation Across Architectures, Datasets and Pre-Training Paradigms Conference

IEEE Access, 2023.

Abstract | BibTeX | Links:

Fazle Rabbi; Bahareh Fatemi; Yngve Lamo; Andreas L. Opdahl

A model-based framework for NEWS content analysis Journal Article

In: 12th International Conference on Model-Based Software and Systems Engineering, 2023.

Abstract | BibTeX | Links:

Bjørnar Tessem; Are Tverberg; Njål Borch

The future technologies of journalism Conference

Centeris, 2023.

Abstract | BibTeX | Links:

Marc Gallofré Ocaña; Andreas L. Opdahl

A software reference architecture for journalistic knowledge Journal Article

In: Knowledge-based Systems, vol. 276, 2023.

Abstract | BibTeX | Links:

Bjørnar Tessem; Marc Gallofré Ocaña; Andreas L. Opdahl

Construction of a relevance knowledge graph with application to the LOCAL news angle Proceedings Article

In: CEUR Workshop Proceedings (CEUR-WS.org) , 2023.

Abstract | BibTeX | Links:

Bahareh Fatemi; Fazle Rabbi; Bjørnar Tessem

Fairness in automated data journalism systems Journal Article

In: NIKT: Norsk IKT-konferanse for forskning og utdanning, 2023.

Abstract | BibTeX | Links:

Sohail Ahmed Khan; Ghazaal Sheikhi; Andreas L. Opdahl; Fazle Rabbi; Sergej Stoppel; Christoph Trattner; Duc-Tien Dang-Nguyen

Visual User-Generated Content Verification in Journalism: An Overview Journal Article

In: IEEE Access, 2023.

Abstract | BibTeX | Links:

2021

Are Tverberg; Ingrid Agasøster; Mads Grønbæck; Marius Monsen; Robert Strand; Kristian Eikeland; Eivind Throndsen; Lars Westvang; Tove B. Knudsen; Eivind Fiskerud; Rune Skår; Sergej Stoppel; Arne Berven; Glenn Skare Pedersen; Paul Macklin; Kenneth Cuomo; Loek Vredenberg; Kristian Tolonen; Andreas L. Opdahl; Bjørnar Tessem; Csaba Veres; Duc-Tien Dang-Nguyen; Enrico Motta; Vinay Jayarama Setty

WP3 2021 M3.1 Report The industrial expectations to, needs from and wishes for the work package Technical Report

University of Bergen, MediaFutures 2021.

BibTeX | Links:

Lars Nyre; Bjørnar Tessem

Automatiske nyhende Online

Dag og Tid 2021, visited: 26.03.2021.

BibTeX | Links:

2020

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

A knowledge-graph platform for newsrooms Journal Article

In: Computers in Industry, vol. 123, no. 103321, 2020, (Pre SFI).

Abstract | BibTeX | Links:

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

Experiments in Lifelog Organisation and Retrieval at NTCIR Book Chapter

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

Abstract | BibTeX | Links:

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

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

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

Abstract | BibTeX | Links:

Vinay Setty; Erlend Rekve

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

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

Abstract | BibTeX | Links:

Enrico Motta; Enrico Daga; Andreas L. Opdahl; Bjørnar Tessem

Analysis and design of computational news angles Journal Article

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

Abstract | BibTeX | Links:

Andreas L. Opdahl; Bjørnar Tessem

Ontologies for finding journalistic angles Journal Article

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

Abstract | BibTeX | Links:

Bjarte Botnevik; Eirik Sakariassen; Vinay Setty

Brenda: Browser extension for fake news detection Journal Article

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

Abstract | BibTeX | Links:

Agnese Chiatti; Enrico Motta; Enrico Daga

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

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

Abstract | BibTeX | Links:

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

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

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

Abstract | BibTeX | Links:

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

Morphological filter detector for image forensics applications Journal Article

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

Abstract | BibTeX | Links:

2019

Bjørnar Tessem

Analogical News Angles from Text Similarity Conference

Artificial Intelligence XXXVI, no. 11927, Springer International Publishing, 2019, (Pre SFI).

Abstract | BibTeX | Links:

Enrico Daga; Enrico Motta

Capturing themed evidence, a hybrid approach Conference

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

Abstract | BibTeX | Links:

Rahul Mishra; Vinay Setty

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

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:

Bjørnar Tessem; Andreas L. Opdahl

Supporting Journalistic News Angles with Models and Analogies Conference

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

Abstract | BibTeX | Links:

2018

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

Towards a big data platform for news angles Workshop

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

Abstract | BibTeX | Links:

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

Challenges and opportunities within personal life archives Conference

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

Abstract | BibTeX | Links:

Vinay Setty; Katja Hose

Neural embeddings for news events Conference

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:

Angelo Antonio Salatino; Francesco Osborne; Enrico Motta

AUGUR: forecasting the emergence of new research topics Conference

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

Abstract | BibTeX | Links:

2017

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

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

In: Multimedia Tools and Applications, vol. 77, no. 12, pp. 15545-15571, 2017, (Pre SFI).

Abstract | BibTeX | Links:

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

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

In: vol. 14, no. 4, pp. 1-24, 2017, (Pre SFI).

Abstract | BibTeX | Links:

Vinay Setty; Abhijit Anand; Arunav Mishra; Avishek Anand

Modeling event importance for ranking daily news events Conference

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:

Lars Nyre; Joao Ribeiro; Bjørnar Tessem

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

In: he Journal of Media Innovations, vol. 4, no. 2, pp. 4-19, 2017, (Pre SFI).

Abstract | BibTeX | Links:

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