A Web Infrastructure for Certifying Multimedia News Content for Fake News Defense

In dealing with altered visual multimedia content, also referred to as fake news, we present a ready-to-deploy extension of the current public key infrastructure (PKI), to provide an endorsement and integrity check platform for newsworthy visual multimedia content. PKI, which is primarily used for Web domain authentication, can directly be utilized with any visual multimedia file. Unlike many other fake news researches that focus on technical multimedia data processing and verification, we enable various news organizations to use our developed program to certify/endorse a multimedia news content when they believe this news piece is truthiness and newsworthy. Our program digitally signs the multimedia news content with the news organization's private key, and the endorsed news content can be posted not only by the endorser, but also by any other websites. By installing a web browser extension developed by us, an end user can easily verify whether a multimedia news content has been endorsed and by which organization. During verification, our browser extension will present to the end user a floating logo next to the image or video. This logo, in the shape of a shield, will show whether the image has been endorsed, by which news organization, and a few more pieces of essential text information of the news multimedia content. The proposed system can be easily integrated to other closed-web system such as social media networks and easily applied to other non-visual multimedia files.Comment: 7 pages, 6 figure

Design decisions of collaborative tools that reduce the impact of fake news

The phenomenon of dissemination and consumption of fake news brings with it the permanent risk of harm to people, companies, or entities referenced in the content of the messages or publications. An important aspect to consider in the proliferation of disinformation is the design of collaborative tools in which fake news are disseminated; which can be improved through knowledge of the factors that facilitate or prevent its propagation. Thus, this research work proposes the construction of a reference model of the impact of fake news, which allows obtaining metrics of the damage they can cause and the factors that increase or reduce it, in order to provide a catalog of design recommendations/decisions that reduce said impact.Facultad de Informátic

Decisioning 2022 : Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture

Sustainable agriculture is one of the Sustainable Development Goals (SDG) proposed by UN (United Nations), but little systematic work on Knowledge Discovery and Decision Making has been applied to it. Knowledge discovery and decision making are becoming active research areas in the last years. The era of FAIR (Findable, Accessible, Interoperable, Reusable) data science, in which linked data with a high degree of variety and different degrees of veracity can be easily correlated and put in perspective to have an empirical and scientific perception of best practices in sustainable agricultural domain. This requires combining multiple methods such as elicitation, specification, validation, technologies from semantic web, information retrieval, formal concept analysis, collaborative work, semantic interoperability, ontological matching, specification, smart contracts, and multiple decision making. Decisioning 2022 is the first workshop on Collaboration in knowledge discovery and decision making: Applications to sustainable agriculture. It has been organized by six research teams from France, Argentina, Colombia and Chile, to explore the current frontier of knowledge and applications in different areas related to knowledge discovery and decision making. The format of this workshop aims at the discussion and knowledge exchange between the academy and industry members.Laboratorio de Investigación y Formación en Informática Avanzad