Pdf Ai To Fight Disinformation A Living Lab Approach Authors Zenodo

Bonisiwe Shabane
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pdf ai to fight disinformation a living lab approach authors zenodo

TITAN presented its short paper on 'AI to Fight Disinformation' at Open Living Lab Days 2023 in Barcelona and our team from the Danish Board of Technology and VUB learned more about using the... Open Living Lab Days is an annual event that brings together professionals, researchers, and enthusiasts from various domains to exchange knowledge and insights about Living Labs. Living Labs are real-world environments where innovations are tested and developed collaboratively with end-users, enabling stakeholders to co-create solutions that address societal challenges. One of the central themes of OLLD 2023 is human centric innovation —a process where diverse stakeholders, including citizens, work together to generate ideas, innovate, and contribute to problem-solving. Co-creation has gained prominence in recent years as an essential element of successful digital transformation projects, and this human-centric design approach is at the heart of the TITAN project. By involving citizens and other stakeholders from the very beginning of the innovation process, we are helping to ensure that our AI-enabled solution for helping people counter disinformation is not only technologically sound but...

This approach promotes a user-centric mindset, fostering the creation of products and services that genuinely benefit society. We were therefore delighted to share our experiences and findings from our co-creation journey so far with a dedicated paper presentation delivered by Marie Hoff from the Danish Board of Technology and Aline Duelen... Delegates were able to get a deeper understanding of the workshop techniques we deployed to understand user needs and requirements, and in exchange we were able to gain feedback on our approach. Academia.edu no longer supports Internet Explorer. To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser. Internet and social media have revolutionised the way news is distributed and consumed.

However, the constant flow of massive amounts of content has made it difficult to discern between truth and falsehood, especially in online platforms plagued with malicious actors who create and spread harmful stories. Debunking disinformation is costly, which has put artificial intelligence (AI) and, more specifically, machine learning (ML) in the spotlight as a solution to this problem. This work revises recent literature on AI and ML techniques to combat disinformation, ranging from automatic classification to feature extraction, as well as their role in creating realistic synthetic content. We conclude that ML advances have been mainly focused on automatic classification and scarcely adopted outside research labs due to their dependence on limited-scope datasets. Therefore, research efforts should be redirected towards developing AI-based systems that are reliable and trustworthy in supporting humans in early disinformation detection instead of fully automated solutions. The objective of this article is to analyze how the disinformation industry, understood as organized and systematic practices aimed at disseminating false information with the aim of manipulating public perception, has eroded trust in...

Technological advances amplify the speed and sophistication with which disinformation spreads, making it difficult to identify and counteract false information, which could be identified with adequate digital literacy. With the use of algorithms and big data analysis, AI is used to personalize political messages, segment audiences and predict electoral trends, seeking not only to persuade voters, but also to create an immersive... To do this, the article shows cases of deceiving the audience by presenting false information in a realistic way. Thanks to the formidable development of AI and the advent of synthetic humans, we are witnessing the profound transformation of the entertainment industry and, shortly, political marketing. The rise in online misinformation in recent years threatens democracies by distorting authentic public discourse and causing confusion, fear, and even, in extreme cases, violence. There is a need to understand the spread of false content through online networks for developing interventions that disrupt misinformation before it achieves virality.

Using a Deep Bidirectional Transformer for Language Understanding (BERT) and propagation graphs, this study classifies and visualizes the spread of misinformation on a social media network using publicly available Twitter data. The results confirm prior research around user clusters and the virality of false content while improving the precision of deep learning models for misinformation detection. The study further demonstrates the suitability of BERT for Anusua Trivedi Microsoft, E-mail: antriv@microsoft.com, Alyssa Suhm Microsoft, E-mail: v-alsuhm@microsoft.com Prathamesh Mahankal University of Washington, E-mail: psm1695@uw.edu Subhiksha... This paper was published in the Conference Proceedings of OpenLivingLab Days 2023 | DOI: 10.5281/zenodo.10948803. You will find two files related to the paper: Duelen, A., Van den Broeck, W., Jennes, I., Fibecker Ladegaard, S., Hoff, M., & Bang Bådum, N. (2023).

AI to Fight Disinformation: a Living Lab Approach. In Proceedings of the OpenLivingLab Days Conference 2023: Living Labs for an Era of Transitions. How human-centric innovation is changing our lives (pp. 148-156). ENoLL - European Network of Living Labs. https://openlivinglabdays.com/wp-content/uploads/2023/10/OLLD-2023-Proceedings.pdf

The 'Dataset of co-creation TITAN' contains the results of the three first exercises of the co-creation workshops. The '3.1 Report on citizen co-created design principles for TITAN Conceptual Architecture' is the Deliverable that was linked to the results of the co-creation activities that are partly described in the paper.

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TITAN Presented Its Short Paper On 'AI To Fight Disinformation'

TITAN presented its short paper on 'AI to Fight Disinformation' at Open Living Lab Days 2023 in Barcelona and our team from the Danish Board of Technology and VUB learned more about using the... Open Living Lab Days is an annual event that brings together professionals, researchers, and enthusiasts from various domains to exchange knowledge and insights about Living Labs. Living Labs are real-worl...

This Approach Promotes A User-centric Mindset, Fostering The Creation Of

This approach promotes a user-centric mindset, fostering the creation of products and services that genuinely benefit society. We were therefore delighted to share our experiences and findings from our co-creation journey so far with a dedicated paper presentation delivered by Marie Hoff from the Danish Board of Technology and Aline Duelen... Delegates were able to get a deeper understanding of th...

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However, the constant flow of massive amounts of content has made it difficult to discern between truth and falsehood, especially in online platforms plagued with malicious actors who create and spread harmful stories. Debunking disinformation is costly, which has put artificial intelligence (AI) and, more specifically, machine learning (ML) in the spotlight as a solution to this problem. This wor...

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Technological advances amplify the speed and sophistication with which disinformation spreads, making it difficult to identify and counteract false information, which could be identified with adequate digital literacy. With the use of algorithms and big data analysis, AI is used to personalize political messages, segment audiences and predict electoral trends, seeking not only to persuade voters, ...

Using A Deep Bidirectional Transformer For Language Understanding (BERT) And

Using a Deep Bidirectional Transformer for Language Understanding (BERT) and propagation graphs, this study classifies and visualizes the spread of misinformation on a social media network using publicly available Twitter data. The results confirm prior research around user clusters and the virality of false content while improving the precision of deep learning models for misinformation detection...