Closing the PDF gap: ReadCube’s experiments in reader‐focused design

Study on the Application of Web2.0 in Advertising Communication

Cloud applications have reshaped the model of services and infrastructure of the Internet. Search engines, social networks, content delivery and retail and e-commerce sites belong to this group of applications. An important element in the architecture of data centers where these applications run is the communication infrastructure, commonly known as data center networks (DCNs). A critical challenge DCNs have to address is the processing of the traffic of cloud applications, which due to its properties is essentially different to the traffic of other Internet applications. In order to improve the responsiveness and throughput of applications, DCNs should be able to prioritize short flows (a few kB) over long flows (several MB). However, given the time and space variations the traffic presents, the information about flow sizes is not available in advance in order to plan the flow scheduling. There has been a wealth of solutions developed in this space, and prior work includes flow scheduling mechanisms optimizing for a specific workload but fall short when workloads are not known in advance, or comprise a collection of applications changing dynamically. In this paper, we present an adaptable mechanism called Adaptable Workload-Agnostic Flow Scheduling (AWAFS). It is an adaptable approach that can adjust in an agnostic way the scheduling configuration of DCN forwarding devices. This agnostic adjustment contributes to reduce the Flow Completion Time (FCT) of those short flows, representing around 85% of the traffic handled by cloud applications. AWAFS operates by observing the traffic and detecting statistical properties that provide a hint to adapt the scheduling parameters. Our evaluation results based on simulation show that AWAFS can reduce the average FCT of short flows between 16.9% and 45.2% when compared to the best existing agnostic non-adaptable solution, without inducing starvation on long flows. Indeed, it can provide improvements as high as 39% for long flows. Additionally, AWAFS can improve the FCT for short flows in scenarios with high heterogeneity in the traffic present in the network, with a reduction up to 5% for the average FCT and 15% for the tail FCT.

Algorithmic tools are employed from search engines and content platforms to social media, while the so called legacy media is also resorting to these tools. Moreover, automated production of media content is increasingly being boosted by artificial intelligence (AI) across the media sector. At the same time, automation is accompanied by powerful demands for accountability which in turn are instrumentally linked to transparency demands. These demands stem from a combination of ethical guidelines and legal requirements, leaving transparency itself a rather ambiguous principle. This Chapter asks what transparency means in terms of media practices in the era of algorithmic journalism. The Chapter builds on EU level ethical guidelines for AI as well as identifying and elaborating on some existing forms of transparency regulation as a background and in comparison to emerging issues. Moreover, it presents some pioneering self-regulatory solutions from Finland which draw from established ethical guidelines for journalists. For its part, this Chapter also seeks answers to questions on the meaning of and opportunities for accountable use of artificial intelligence in the media sector. In this regard, the aim is to inform law and policy by employing a rights-based approach to transparency in algorithmic journalism. The focus of this Chapter is on automation in content production by legacy media. With that in mind, transparency is mainly discussed with regard to editorial media which is regulated and self-regulated across technologies and platforms. However, the applicability of the analysis may be wider, especially in terms of fundamental requirements for the use of automation and AI in the media sector.

The Demo Track is one of the most exciting parts of any Web Conference. It allows researchers and practitioners to demonstrate new systems in an engaging and hands-on manner to the community. The Web has been driven forward by building systems and technology. The demo track is a venue that encourages this sort of important type of result This year the track received 71 submissions of those 30 were accepted for a 42% accept rate. We had a comprehensive review procedure that looked at a number of dimensions including the novelty of the demo, its fit with the conference, its research content, and its potential for audience engagement. We were pleased by the number of submissions that included links to online demonstrations and/or videos. This gave reviewers additional information about how the demo would be presented. Overall, we had 232 reviews across all submissions. Many of the reviews provided not only a their expert judgement but ways in which the submissions could be improved. It is often difficult judging demonstrations as there are multiple factors to be taken into account. We want to thank the entire committee for taking the time to support the track. The resulting set of selected demos reflects the wide-variety of technology and research interests impacting the wide. Demonstrations cover topics such as using data on the web, the integration of the web and the physical world, knowledge graphs, search engines, security and privacy, and dealing with multimedia data. We believe that these demos provide an exciting taste of the future of the Web.

The information industry is now moving into the third generation of the delivery of research content to the market. End users want their content on any device, anywhere, anytime and they want to receive only the content that they need.This has implications for all players in the sector – publishers, agents, libraries, end users – and the way in which their roles will need to change. Standing still is not an option. However, with change comes opportunity, and there are some strong opportunities for agents going forward in providing additional shared services to both publishers and customers. Helping them deal with the change while at the same time providing more effective and efficient solutions to their current challenges is a real opportunity.

The amount of unuseful contents, such as hoaxes or false news, and non-educational content bring negative impact to the society, especially to the students. People who were influenced by hoaxes and non-educational digital content from the news and various digital contents, responded by writing negative comments on digital media. By utilizing digital literacy, it will contribute positive conduct in responding various digital content, for example being educated with positive content and contributing to the society by creating qualify digital content. Because of this reason, a digital content model contains social science education is needed as a media literacy to educate students and to digital society in general. High quality of digital content has certain standards so that it will bring positive influence when it is distributed in digital media. Digital contents are not just the process of digitizing traditional content into digital media. Furthe more, various parameters of digital content, such as: Search Engine Optimization, writing mechanism, knowledge, social studies competency, digital media and digital copyright are part of the fundamental elements of qualify digital content models, which is built using transdisciplinary knowledge.

With the spread of service platforms that enable users to generate content, people use user-generated content (UGC) to search for and access information on the web instead of search engines. Attackers can also use UGC on a service platform (UGC platform) to spread web-based social engineering (SE) attacks to a large number of people. In this paper, we focus on a type of web-based SE attack, called an event-synced navigation attack, which generates UGC with links navigating users to malicious websites and distribute it synced with a real-life event at a specific time. To understand the attacks in the wild, we propose a new system for detecting event-synced navigation attacks in real time by capturing the inevitable footprints left by attacks that affect a large number of users. We evaluate each of the three steps of the proposed system and finally find that the system can classify malicious and non-malicious UGC with 97% accuracy. Furthermore, we perform a comprehensive measurement study on event-synced navigation attacks spread from popular UGC platforms (Twitter, Facebook, YouTube, and Reddit) and confirm that many event-synced navigation attacks are deployed in the wild.

Online content platforms are concerned about the freshness of their content updates to their end customers, and increasingly more platforms now invite and pay the crowd to share real-time information (e.g., news and sensor data) to help reduce their ages of information (AoI). How much crowdsourced data to sample and buy over time is a critical question for a platform's AoI management, requiring a good balance between its AoI and the incurred sampling cost. This question becomes more interesting by considering the stage after sampling, where two platforms coexist in sharing the content delivery network of limited bandwidth, and one platform's update may jam or preempt the other's under negative network externalities. When the two selfish platforms know each other's sampling costs, we formulate their interaction as a non-cooperative game and show both want to over-sample to reduce their own AoI, causing the price of anarchy (PoA) to be infinity. To remedy this huge efficiency loss, we propose a non-monetary trigger mechanism of punishment in a repeated game to enforce the platforms' cooperation to achieve the social optimum. We also study the more challenging incomplete information scenario that platform 1 knows more information about sampling cost than platform 2 by hiding its sampling cost information in the Bayesian game. Perhaps surprisingly, we show that even platform 1 may get hurt by knowing more information. We successfully redesign the trigger-and-punishment mechanism to negate platform 1's information advantage and ensure no cheating. As compared to the social optimum, extensive simulations show that the mechanisms can remedy the huge efficiency loss due to platform competition in different information scenarios.

Introduction: Examines the implications of marketing in improving content related to scientific production, focusing on Academic Search Engine Optimization (ASEO) and highlighting the role of Digital Scientific Marketing. Methodology: It presents the constructive stages of Digital Scientific Marketing from the ASEO perspective, considering the Author dimension and the formal and informal channels that constitute digital information environments. Results: Describes the stages of Planning, Persona Definition, Content Creation and Definition, Content Distribution, Content Evaluation, and Result Measurement for the application of Digital Scientific Marketing in the ASEO context. Conclusion: The application of Digital Scientific Marketing requires reflection on the target audience and the proper delivery of content, taking into account social media metrics and effective audience engagement. Integrating Digital Scientific Marketing with Academic Search Engine Optimization (ASEO) provides new perspectives for scientific research, aiming to reach audiences beyond the specialized public. This approach can foster research in various knowledge areas and lead to the development of new lines of investigation.

Thangka is integral part of Tibetan painting art, is also a bright pearl in the treasure house of world culture as well as a valuable cultural heritage of the world. Thangka's digital works are meaningful and valuable, since in today's fast-growing information age, multimedia data is becoming more and more common in people's daily applications, however this data is nearly useless if there is no computer-aided browsing, searching, and retrieving mechanism to obtain the desired contents. And it involves many research content such as database management system, feature extraction and presentation, content-based image retrieval, semantic-based image retrieval and search engines of Thangka image and so on. In this paper, the characteristics of Thangka image, content-based image retrieval (CBIR) system for Thangka is introduced, and a semantic-based image retrieval and multimedia presentation management system model for Thangka image is also proposed.

Many online services, including search engines, content delivery networks, ad networks, and fraud detection utilize IP geolocation databases to map IP addresses to their physical locations. However, IP geolocation databases are often inaccurate. We present a novel IP geolocation technique based on combining propagating IP location information through traceroutes with IP interpolation. Using a large ground truth set, we show that physical locations of IP addresses can be propagated along traceroute paths. We also experiment with and expand upon the concept of IP range location interpolation, where we use the location of individual addresses in an IP range to assign a location to the entire range. The results show that our approach significantly outperforms commercial geolocation by up to 31 percentage points. We open source several components to aid in reproducing our results.

The rapid penetration of mobile technologies across Sub-Saharan African urban centers has redefined the entrepreneurial landscape, enabling startups to leverage mobile commerce (m-commerce) platforms for business growth and customer engagement. This review paper explores the multifaceted dimensions of m-commerce adoption and its synergy with digital branding techniques to foster scalable growth among startups in cities such as Lagos, Nairobi, Accra, and Kigali. It examines the infrastructural, socio-economic, and regulatory drivers influencing mobile commerce uptake, including mobile broadband expansion, fintech integration, and evolving consumer behavior in urban ecosystems. The paper also delves into contemporary digital branding strategies—such as social media storytelling, influencer marketing, personalized content delivery, and search engine optimization—that are tailored to resonate with digitally savvy urban populations. Drawing from recent empirical studies, case analyses, and theoretical frameworks, this review highlights how startups effectively align mobile technology with brand positioning to achieve market differentiation and sustained engagement. Furthermore, it investigates challenges such as digital literacy gaps, platform scalability, cyber-security vulnerabilities, and limited access to capital. The paper proposes a model for strategic integration of m-commerce functionalities with agile branding approaches to enhance visibility, trust, and conversion in dynamic urban markets. By synthesizing evidence from technology, marketing, and entrepreneurship literature, this study contributes to the discourse on inclusive digital transformation and provides actionable insights for startup founders, policy-makers, and innovation hubs aiming to strengthen Africa’s digital economy through mobile-enabled entrepreneurship. Keywords: Mobile Commerce, Digital Branding, Startup Growth, Sub-Saharan Africa, Urban Entrepreneurship, Technology Adoption.

Emerging methods for content delivery such as quote-searching and entity-searching, enable users to quickly identify novel and relevant information from unstructured texts, news articles, and media sources. These methods have widespread applications in web surveillance and crime informatics, and can help improve intention disambiguation, character evaluation, threat analysis, and bias detection. Furthermore, quote-based and entity-based searching is also an empowering information retrieval tool that can enable non-technical users to gauge the quality of public discourse, allowing for more fine-grained analysis of core sociological questions. The paper presents a prototype search engine that allows users to search a news database containing quotes using a combination of strings and things. The ingestion pipeline, which forms the backend of the service, comprises of the following modules i) a crawler that ingests data from the GDELT Global Quotation Graph ii) a named entity recognition (NER) filter that labels data on the fly iii) an indexing mechanism that serves the data to an Elasticsearch cluster and iv) a user interface that allows users to formulate queries. The paper presents the high-level configuration of the pipeline and reports basic metrics and aggregations.

A Content and Comparative Analysis of Strategic Management Research in the Baltic Area: A Research Agenda for Qualitative Studies