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Related papers: Trust and Trustworthiness in Social Recommender Sy…

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One main challenge in social media is to identify trustworthy information. If we cannot recognize information as trustworthy, that information may become useless or be lost. Opposite, we could consume wrong or fake information with major…

Social and Information Networks · Computer Science 2019-04-17 Jamal Al Qundus , Adrian Paschke

The rise of social media and online social networks has been a disruptive force in society. Opinions are increasingly shaped by interactions on online social media, and social phenomena including disagreement and polarization are now…

Social and Information Networks · Computer Science 2017-12-29 Cameron Musco , Christopher Musco , Charalampos E. Tsourakakis

Information has exploded on the Internet and mobile with the advent of the big data era. In particular, recommendation systems are widely used to help consumers who struggle to select the best products among such a large amount of…

Information Retrieval · Computer Science 2022-10-17 Mirae Kim , Simon Woo

Social media are pervaded by unsubstantiated or untruthful rumors, that contribute to the alarming phenomenon of misinformation. The widespread presence of a heterogeneous mass of information sources may affect the mechanisms behind the…

Social and Information Networks · Computer Science 2017-07-11 Fabiana Zollo , Walter Quattrociocchi

The paper develops a stochastic model of drift in human beliefs that shows that today's sheer volume of accessible information, combined with consumers' confirmation bias and natural preference to more outlying content, necessarily lead to…

Social and Information Networks · Computer Science 2021-01-19 Chao Xu , Jinyang Li , Tarek Abdelzaher , Heng Ji , Boleslaw K. Szymanski , John Dellaverson

Social media plays a crucial role in shaping society, often amplifying polarization and spreading misinformation. These effects stem from complex dynamics involving user interactions, individual traits, and recommender algorithms driving…

Information Retrieval · Computer Science 2025-04-16 Sabrina Guidotti , Sabrina Patania , Giuseppe Vizzari , Dimitri Ognibene , Gregor Donabauer , Udo Kruschwitz , Davide Taibi

Social networks offer a ready channel for fake and misleading news to spread and exert influence. This paper examines the performance of different reputation algorithms when applied to a large and statistically significant portion of the…

Social and Information Networks · Computer Science 2018-03-07 Luca de Alfaro , Massimo Di Pierro , Rakshit Agrawal , Eugenio Tacchini , Gabriele Ballarin , Marco L. Della Vedova , Stefano Moret

Media seems to have become more partisan, often providing a biased coverage of news catering to the interest of specific groups. It is therefore essential to identify credible information content that provides an objective narrative of an…

Artificial Intelligence · Computer Science 2017-05-16 Subhabrata Mukherjee , Gerhard Weikum

In recent years, malicious information had an explosive growth in social media, with serious social and political backlashes. Recent important studies, featuring large-scale analyses, have produced deeper knowledge about this phenomenon,…

Social and Information Networks · Computer Science 2020-01-29 Francesco Pierri , Carlo Piccardi , Stefano Ceri

Previous work suggests that people's preference for different kinds of information depends on more than just accuracy. This could happen because the messages contained within different pieces of information may either be well-liked or…

Computers and Society · Computer Science 2022-07-01 Alexandros Efstratiou , Emiliano De Cristofaro

Trust is long recognized to be an important factor in Recommender Systems (RS). However, there are different perspectives on trust and different ways to evaluate it. Moreover, a link between trust and transparency is often assumed but not…

Information Retrieval · Computer Science 2023-04-18 Clara Siepmann , Mohamed Amine Chatti

An important challenge in the process of tracking and detecting the dissemination of misinformation is to understand the political gap between people that engage with the so called "fake news". A possible factor responsible for this gap is…

Social and Information Networks · Computer Science 2017-07-18 Manoel Horta Ribeiro , Pedro H. Calais , Virgílio A. F. Almeida , Wagner Meira

Recent years have witnessed remarkable progress towards computational fake news detection. To mitigate its negative impact, we argue that it is critical to understand what user attributes potentially cause users to share fake news. The key…

Computers and Society · Computer Science 2021-07-16 Lu Cheng , Ruocheng Guo , Kai Shu , Huan Liu

The plague of false information, popularly called fake news has affected lives of news consumers ever since the prevalence of social media. Thus understanding the spread of false information in social networks has gained a lot of attention…

Social and Information Networks · Computer Science 2021-02-05 Bhavtosh Rath , Wei Gao , Jaideep Srivastava

Recommender systems are the algorithms which select, filter, and personalize content across many of the worlds largest platforms and apps. As such, their positive and negative effects on individuals and on societies have been extensively…

The increasing reliance on digital platforms shapes how individuals understand the world, as recommendation systems direct users toward content "similar" to their existing preferences. While this process simplifies information retrieval,…

Computational Engineering, Finance, and Science · Computer Science 2024-12-17 Minhyeok Lee

The number of Internet users had grown rapidly enticing companies and cooperations to make full use of recommendation infrastructures. Consequently, online advertisement companies emerged to aid us in the presence of numerous items and…

Information Retrieval · Computer Science 2018-11-30 S. M. Mahdi Seyednezhad , Kailey Nobuko Cozart , John Anthony Bowllan , Anthony O. Smith

Social-media platforms have created new ways for citizens to stay informed and participate in public debates. However, to enable a healthy environment for information sharing, social deliberation, and opinion formation, citizens need to be…

Social and Information Networks · Computer Science 2021-11-05 Cigdem Aslay , Antonis Matakos , Esther Galbrun , Aristides Gionis

Recent years have seen a marked increase in the spread of misinformation, a phenomenon which has been accelerated and amplified by social media such as Facebook and Twitter. While some actors spread misinformation to push a specific agenda,…

Social and Information Networks · Computer Science 2020-04-10 Mayee F. Chen , Miklos Z. Racz

The status-quo of misinformation moderation is a central authority, usually social platforms, deciding what content constitutes misinformation and how it should be handled. However, to preserve users' autonomy, researchers have explored…

Human-Computer Interaction · Computer Science 2024-03-19 Farnaz Jahanbakhsh , David R. Karger