Trust-based Recommender System for Fake News Mitigation

Sallami, Dorsaf; Salem, Rim Ben; Aïmeur, Esma

doi:10.1145/3563359.3597395

Cited by 5 publications

(2 citation statements)

References 27 publications

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“…The identified most similar documents are then used as a basis for more detailed analysis steps conducted with the goal of identifying relevant arguments better helping to win acquittal for an accused person (Mandal et al, 2017;Dhanani et al, 2021). On the negative side, such content-based recommenders are also applied by different social media and news platforms with the danger of creating so-called "echochambers" of misinformation (Sallami et al, 2023)-this is also related to the general requirement of considering and minimizing harm in recommenders (Ekstrand and Ekstrand, 2016).…”

Section: Peace Justice and Strong Institutionsmentioning

confidence: 99%

Reviews in Recommender Systems: 2022

2024

Frontiers Research Topics

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Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

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Section: Peace Justice and Strong Institutionsmentioning

confidence: 99%

Reviews in Recommender Systems: 2022

2024

Frontiers Research Topics

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“…The identified most similar documents are then used as a basis for more detailed analysis steps conducted with the goal of identifying relevant arguments better helping to win acquittal for an accused person (Mandal et al, 2017 ; Dhanani et al, 2021 ). On the negative side, such content-based recommenders are also applied by different social media and news platforms with the danger of creating so-called “echo-chambers” of misinformation (Sallami et al, 2023 )—this is also related to the general requirement of considering and minimizing harm in recommenders (Ekstrand and Ekstrand, 2016 ).…”

Section: Recommender Systems For Sustainabilitymentioning

confidence: 99%

Recommender systems for sustainability: overview and research issues

Felfernig,

Wundara,

Tran

et al. 2023

Front. Big Data

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Sustainability development goals (SDGs) are regarded as a universal call to action with the overall objectives of planet protection, ending of poverty, and ensuring peace and prosperity for all people. In order to achieve these objectives, different AI technologies play a major role. Specifically, recommender systems can provide support for organizations and individuals to achieve the defined goals. Recommender systems integrate AI technologies such as machine learning, explainable AI (XAI), case-based reasoning, and constraint solving in order to find and explain user-relevant alternatives from a potentially large set of options. In this article, we summarize the state of the art in applying recommender systems to support the achievement of sustainability development goals. In this context, we discuss open issues for future research.

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The impacts of relevance of recommendations and goal commitment on user experience in news recommender design

Pu,

Beam

2024

User Model User-Adap Inter

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Trust-based Recommender System for Fake News Mitigation

Cited by 5 publications

References 27 publications

Reviews in Recommender Systems: 2022

Reviews in Recommender Systems: 2022

Recommender systems for sustainability: overview and research issues

The impacts of relevance of recommendations and goal commitment on user experience in news recommender design

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