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Article
Publication date: 12 November 2018

Olga Papadopoulou, Markos Zampoglou, Symeon Papadopoulos and Ioannis Kompatsiaris

As user-generated content (UGC) is entering the news cycle alongside content captured by news professionals, it is important to detect misleading content as early as possible and…

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Abstract

Purpose

As user-generated content (UGC) is entering the news cycle alongside content captured by news professionals, it is important to detect misleading content as early as possible and avoid disseminating it. The purpose of this paper is to present an annotated dataset of 380 user-generated videos (UGVs), 200 debunked and 180 verified, along with 5,195 near-duplicate reposted versions of them, and a set of automatic verification experiments aimed to serve as a baseline for future comparisons.

Design/methodology/approach

The dataset was formed using a systematic process combining text search and near-duplicate video retrieval, followed by manual annotation using a set of journalism-inspired guidelines. Following the formation of the dataset, the automatic verification step was carried out using machine learning over a set of well-established features.

Findings

Analysis of the dataset shows distinctive patterns in the spread of verified vs debunked videos, and the application of state-of-the-art machine learning models shows that the dataset poses a particularly challenging problem to automatic methods.

Research limitations/implications

Practical limitations constrained the current collection to three platforms: YouTube, Facebook and Twitter. Furthermore, there exists a wealth of information that can be drawn from the dataset analysis, which goes beyond the constraints of a single paper. Extension to other platforms and further analysis will be the object of subsequent research.

Practical implications

The dataset analysis indicates directions for future automatic video verification algorithms, and the dataset itself provides a challenging benchmark.

Social implications

Having a carefully collected and labelled dataset of debunked and verified videos is an important resource both for developing effective disinformation-countering tools and for supporting media literacy activities.

Originality/value

Besides its importance as a unique benchmark for research in automatic verification, the analysis also allows a glimpse into the dissemination patterns of UGC, and possible telltale differences between fake and real content.

Details

Online Information Review, vol. 43 no. 1
Type: Research Article
ISSN: 1468-4527

Keywords

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Book part
Publication date: 31 August 1999

Maria Birbili

Abstract

Details

Explorations in Methodology
Type: Book
ISBN: 978-1-84950-886-5

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Book part
Publication date: 22 October 2020

Evi Karathanasopoulou

This chapter looks at web-radio and podcasting in Greece, exploring their past, current status and considering possible futures. The analysis begins from broadcast radio in order…

Abstract

This chapter looks at web-radio and podcasting in Greece, exploring their past, current status and considering possible futures. The analysis begins from broadcast radio in order to explore the, sometimes complex, relationships between traditional and new digital formats, particularly as these exist in an already financially and politically challenging terrain. Some tensions are revealed as the author, via primary and secondary research, navigates the radio landscape in a country that is now emerging from a long financial crisis. As there is very little writing on Greek Podcasting, this chapter aims to provide a snapshot of what currently exists and to suggest possible functions and creative avenues for it in Greece moving forward.

Details

The Emerald Handbook of Digital Media in Greece
Type: Book
ISBN: 978-1-83982-401-2

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Article
Publication date: 2 August 2024

María Calero, Tatiana Pina, Olga Mayoral, José Cantó, M. Ángeles Ull and Amparo Vilches

The purpose of this research is to analyse the level of knowledge about the Sustainable Development Goals (SDGs) of pre-service teachers in Early Childhood and Primary School…

116

Abstract

Purpose

The purpose of this research is to analyse the level of knowledge about the Sustainable Development Goals (SDGs) of pre-service teachers in Early Childhood and Primary School Education at the University of Valencia (Spain) and the origin of this knowledge over several academic years, as well as to compare it with that of students of the Degree in Environmental Sciences at the same university.

Design/methodology/approach

A questionnaire was designed, validated and administrated to 1,040 students of Degree in Early Childhood Education, Primary School Education and Environmental Science of the University of Valencia to analyse their knowledge of the SDGs and their evolution over three academic years (2019–20, 2020–21, 2021–22).

Findings

Statistical analysis shows that most of the participants are either unaware of the SDGs and their importance or have insufficient knowledge of the SDGs and their linkages.

Practical implications

The need to continue promoting teaching resources to favour the implementation of education for the SDG in initial teacher training is highlighted.

Social implications

Pre-service teachers can become agents of change if they understand the magnitude and complexity of the socio-environmental crisis and get involved through their educational action in the required measures to advance in the construction of more sustainable societies.

Originality/value

This study aims to emphasize the necessary training and involvement of students of the Degree in Early Childhood Education, Primary School Education and Environmental Science at the University of Valencia to advance in the transition to Sustainability.

Details

International Journal of Sustainability in Higher Education, vol. 26 no. 2
Type: Research Article
ISSN: 1467-6370

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Book part
Publication date: 28 November 2024

Olga Suhomlinova and Saoirse Caitlin O'Shea

Abstract

Details

Transgender and Non-binary Prisoners' Experiences in England and Wales
Type: Book
ISBN: 978-1-80071-045-0

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Abstract

Details

Competitiveness Review: An International Business Journal , vol. 32 no. 3
Type: Research Article
ISSN: 1059-5422

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