PROOF

Eidloth L.

The Special Interest Group on Hypertext and the Web, SIGWEB was created in 1989 to support the community participating in the annual ACM Hypertext Conference. In its fourth decade, SIGWEB continues its efforts to support a wide range of communities and eight annual conferences. SIGWEB supports several specialized conferences, short courses, and workshops of different sizes, as well as the annual Hypertext Conference. SIGWEB sponsored conferences focus on timely topics in applied and computational hypertext and Web disciplines and provide a place for members and the entire applied Hypermedia and Web community to exchange ideas and to meet with and expand their network of colleagues. In this article, we provide a brief overview of SIGWEB sponsored conferences, in addition to events that are in cooperation with SIGWEB.

Garcia-Pueyo L.

Integrity 2024 is the fifth edition of the Workshop on Integrity in Social Networks and Media, held in conjunction with the ACM Conference on Web Search and Data Mining (WSDM) since the 2020 edition. The goal of the workshop is to bring together academic and industry researchers working on integrity, fairness, trust and safety in social networks to discuss the most pressing risks and cutting-edge technologies to reliably measure and mitigate them. The event consists of invited talks from academic experts and industry leaders as well as peer-reviewed papers and posters through an open call-for-papers. The workshop will take place on March 8th, 2024, in Mérida, Yucatán, Mexico. Call for papers and further information can be found in http://integrity-workshop.org.

Reyes E., Bernstein M., Ruffo G., Saleh I.

WS.4, the Fourth International Conference on Web Studies, was held in Mexico City, from October 30 to 31, 2023. WS is a multidisciplinary conference organized in cooperation with ACM SIGWEB since 2018. It unites scholars, artists, and professionals who consider the web as their object of inquiry.

Atzenbeck C.

Dr Mariusz Pisarski is a hypertext scholar, translator, publisher, the chief editor of "Techsty"---a Polish journal on new media and literature. He teaches creative writing, hypertext, Twine and non-linear storytelling. His translation and media translation projects include Polish editions of Michael Joyce's hypertext fictions, poetry generator "Sea and Spar Between" by Stephanie Strickland and Nick Montfort and "Hegirascope" by Stuart Moulthrop. Recently he has created the online English edition of "Twilight. A Symphony" (2022) by Michael Joyce. His forthcoming publication is "The Challenges of Born-Digital Fiction: Editions, Translations, and Emulations" (co-authored with Dene Grigar) by Cambridge University Press. He is an assistant professor at Chair of Media and Journalism, University of Information Technology and Management in Rzeszów, Poland and the secretary of Electronic Literature Research Center at Adam Mickiewicz University, Poznań.

Ceravolo P., Catarci T., Console M., Cudré-Mauroux P., Groppe S., Hose K., Pokorný J., Romero O., Wrembel R.

As companies store, process, and analyse bigger and bigger volumes of highly heterogeneous data, novel research and technological challenges are emerging. Traditional and rigid data integration and processing techniques become inadequate for a new class of data-intensive applications. There is a need for new architectural, software, and hardware solutions that are capable of providing dynamic data integration, assuring high data quality, and offering safety and security mechanisms, while facilitating online data analysis. In this context, we propose moduli , a novel disaggregated data management reference architecture for data-intensive applications that organizes data processing in various zones. Working on moduli allowed us also to identify open research and technological challenges.

Atzenbeck C.

Christian Wachter is a postdoctoral research fellow at the Digital History working group at Bielefeld University. He received his Ph.D. for his thesis on hypertext as a medium for digital historiography in 2021. In a current research project, he conducts digitally-assisted discourse analysis, examining political discourse in early twentieth-century Germany.

Shrestha S., Varde A.S.

The overconsumption of energy in recent times has motivated many studies. Some of these explore the application of web technologies and machine learning models, aiming to increase energy efficiency and reduce the carbon footprint. This paper aims to review three areas that overlap between the web and energy usage in the commercial sector: IoT (Internet of Things), cloud computing and opinion mining. The paper elaborates on problems in terms of their causes, influences, and potential solutions, as found in multiple studies across these areas; and intends to identify potential gaps with the scope for further research. In the rapidly digitizing and automated world, these three areas can offer much contribution towards reducing energy consumption and making the commercial sector more energy efficient. IoT and smart manufacturing can assist much in effective production, and more efficient technologies as per energy usage. Cloud computing, with reference to its impact on green IT (information technology), is a major area that contributes towards the mitigation of carbon footprint and the reduction of costs on energy consumption. Opinion mining is significant as per the part it plays in understanding the feelings, requirements and demands of the consumers of energy as well as the related stakeholders, so as to help create more suitable policies and hence navigate towards more energy efficient strategies. This paper offers comprehensive analyses on the literature in the concerned areas to fathom the current status and explore future possibilities of research across these areas and the related multidisciplinary avenues.

Pope J.

The Genarrator platform provides a user-friendly online visual interface toolset for the creation and hosting of interactive hypertext multi-media stories. Offered as a free-to-use tool, it currently hosts more than 1300 working narratives. While there is existing research on the reader experience with this kind of technology and the narratives it offers, comparatively little is known about the author experience. To further explore the findings from an online survey involving 24 interactive narrative undergraduate and postgraduate students who had used Genarrator for an assignment, we decided to conduct a small usability test study with those students who previously provided feedback on the tool. We employed observations, interviews, and analysis of their story-creation process to understand their overall experience. We conclude that our user experience approach, albeit limited, allowed us to observe usefully how authors use Genarrator and recognise conceptual differences between how we as tool creators see the tool and how our participants as authors view it as users.

Lee Y., Kim S.

Recommender systems aim to predict user preferences by analyzing users' past behavior. Collaborative filtering (CF) is one of the key techniques employed in recommender systems that uses explicit ( e.g. , ratings) and implicit ( e.g. , browsing) feedback from users to predict unknown feedback, providing top- N recommendations. However, CF faces challenges when dealing with sparse data, which can decrease the accuracy of recommendations. To overcome these inherent challenges in recommender systems, this article introduces the concept of "uninteresting items" that have not been rated by a user, but are unlikely to be liked even when recommended. We then review our previous works that utilize both positive preferences from rated items and negative preferences from uninteresting items to improve recommendation accuracy. Specifically, we discuss a family of our eight CF methods that are assisted by the uninteresting items: Zero-injection (ZI), l -injection, Imputation, RAGAN, and Deep-ZI, which are designed for explicit feedback, as well as gOCCF, M-BPR, and CNS, which are designed for implicit feedback. Also, we report some evaluation results for showing their effectiveness.

Roßner D.

The Special Interest Group on Hypertext and the Web, SIGWEB was created in 1989 to support the community participating in the annual ACM Hypertext Conference. In its fourth decade, SIGWEB continues its efforts to support a wide range of communities and eight annual conferences. SIGWEB supports several specialized conferences, short courses, and workshops of different sizes, as well as the annual Hypertext Conference. SIGWEB sponsored conferences focus on timely topics in applied and computational hypertext and Web disciplines and provide a place for members and the entire applied Hypermedia and Web community to exchange ideas and to meet with and expand their network of colleagues. In this article, we provide a brief overview of SIGWEB sponsored conferences, in addition to events that are in cooperation with SIGWEB.

Ho V.T.

Vinh Thinh Ho is an applied scientist at Amazon Development Center, working in Alexa AI-NLU team. He completed his PhD at Max Planck Institute for Informatics, under the supervision of Prof. Gerhard Weikum. His research broadly covers the area of semantic web, with main focuses on knowledge bases, quantity search, information extraction and retrieval, rule mining and NLP. This research conducted by Vinh Thinh Ho developed new methods for the extraction and search of quantity knowledge over web contents. Quantities are more than mere numbers. They represent measurements of various entities in the world, such as the heights of buildings, the timings of athletes, the energy efficiency of car models, or the energy production of power plants, all expressed in numbers with associated units. While modern search engines effectively support entity-centric searches and question answering, they struggle when the queries involve quantity filters, such as searching for athletes who ran 200m under 20 seconds or companies with quarterly revenue above $2 Billion. These systems fail to understand the quantities, including the condition (less than, above, etc.), the unit of interest (seconds, dollar, etc.), and the context of the quantity (200m race, quarterly revenue, etc.). QA systems based on structured knowledge bases also fail as quantities are poorly covered by state-of-the-art KBs. We developed new methods to overcome these limitations and advance the state-of-the-art on quantity knowledge extraction and search.

Knox J.

This paper discusses Instapoetry, one of the newest and most popular forms of social media literature, particularly examining the ways that the genre affords greater access to both readers and writers. While they may disagree on the inherent value of the poetry's minimalist expression, forms, and content, both critics and enthusiasts agree that Instapoetry's colloquial style makes it more "accessible." Yet such accessibility is not necessarily as comprehensive as it may seem on account of issues with platform privacy, the cult of influencerism, and algorithmic restrictions on the Instapoets that average users are exposed to. The paper reflects on the potential consequences of genre homogeneity and insufficient therapeutic accountability in an intimate public, while endeavoring to suggest steps for maintaining access in an environment of excess.

Roßner D.

The Special Interest Group on Hypertext and the Web, SIGWEB was created in 1989 to support the community participating in the annual ACM Hypertext Conference. In its fourth decade, SIGWEB continues its efforts to support a wide range of communities and eight annual conferences. SIGWEB supports several specialized conferences, short courses, and workshops of different sizes, as well as the annual Hypertext Conference. SIGWEB sponsored conferences focus on timely topics in applied and computational hypertext and Web disciplines and provide a place for members and the entire applied Hypermedia and Web community to exchange ideas and to meet with and expand their network of colleagues. In this article, we provide a brief overview of SIGWEB sponsored conferences, in addition to events that are in cooperation with SIGWEB.

Zheng Y., Hauptmann H., Guo G.

ACM Conference on Recommender Systems (RecSys) is the premier international forum for the presentation of new research results, systems and techniques in the broad field of recommender systems. RecSys 2023 will be held in Singapore and will bring together the major international research groups working on recommender systems, along with many of the world's leading companies active in e-commerce and other adjacent domains. It is a SIGCHI-sponsored conference, that will attract also several leading industry sponsors. The proceedings will be published by ACM as part of the ACM Digital Library.

Atzenbeck C.

Dr Alessio Antonini is a research fellow at the Knowledge Media Institute of the Open University (UK). He leads the "Knowledge Architectures" group that focuses on conceptual modeling for research and inter-organization infrastructures applied to, e.g., digital humanities and applied Artificial Intelligence to community and city digital innovations. His research focuses on the phenomenology and aesthetics of interactive and intelligent media, positive computing for digital healthcare and the design of ***Al-enabled health and well-being interventions. His methods focus on the scoping and design of technologies, connecting philosophy of mind, communication pragmatics, cognition and social ontology theories with information and data models, and software engineering requirements for such infrastructures. He is actively advocating and supporting the adoption of digital-informed methodologies and agenda in the Humanities, and Humanities interpretative methods in computer science.