2023
Authors
Griné, T; Lopes, CT;
Publication
MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT I
Abstract
In a world increasingly present online, people are leaving a digital footprint, with valuable information scattered on the Web, in an unstructured manner, beholden to the websites that keep it. While there are potential harms in being able to access this information readily, such as enabling corporate surveillance, there are also significant benefits when used, for example, in journalism or investigations into Human Trafficking. This paper presents an approach for retrieving domain-specific information present on the Web using Social Media platforms as a gateway to other content existing on any website. It begins by identifying relevant profiles, then collecting links shared in posts to webpages related to them, and lastly, extracting and indexing the information gathered. The tool developed based on this approach was tested for a case study in the domain of Human Trafficking, more specifically in sexual exploitation, showing promising results and potential to be applied in a real-world scenario.
2023
Authors
Oliveira, B; Lopes, CT;
Publication
CHIIR
Abstract
Web search engines have marked everyone's life by transforming how one searches and accesses information. Search engines give special attention to the user interface, especially search engine result pages (SERP). The well-known "10 blue links"list has evolved into richer interfaces, often personalized to the search query, the user, and other aspects. More than 20 years later, the literature has not adequately portrayed this development. We present a study on the evolution of SERP interfaces during the last two decades using Google Search as a case study. We used the most searched queries by year to extract a sample of SERP from the Internet Archive. Using this dataset, we analyzed how SERP evolved in content, layout, design (e.g., color scheme, text styling, graphics), navigation, and file size. We have also analyzed the user interface design patterns associated with SERP elements. We found that SERP are becoming more diverse in terms of elements, aggregating content from different verticals and including more features that provide direct answers. This systematic analysis portrays evolution trends in search engine user interfaces and, more generally, web design. We expect this work will trigger other, more specific studies that can take advantage of our dataset.
2023
Authors
Oliveira, B; Lopes, CT;
Publication
CHIIR
Abstract
Web Search Engine Results Pages (SERP) are one of the most well-known and used web pages. These pages have started as simple "10 blue links"pages, but the information in SERP currently goes way beyond these links. Several features have been included in these pages to complement organic and sponsored results and attempt to provide answers to the query instead of just pointing to websites that might deliver that information. In this work, we analyze the appearance and evolution of SERP features in the two leading web search engines, Google Search and Microsoft Bing. Using a sample of SERP from the Internet Archive, we analyzed the appearance and evolution of these features. We found that SERP are becoming more diverse in terms of elements, aggregating content from different verticals and including more features that provide direct answers.
2022
Authors
Lopes, CT;
Publication
CoRR
Abstract
2022
Authors
Lopes, CT; Ribeiro, C; Niccolucci, F; Villalón, MP; Freire, N;
Publication
SIGIR Forum
Abstract
2025
Authors
Nemec Zlatolas, L; Mavrikiou, P; Kremer, S; Murphy, B; Teixeira Lopes, C;
Publication
Actions for Gender Balance in Informatics Across Europe
Abstract
The underrepresentation of women in informatics academia remains a significant issue. In response, Higher Education Institutions have been implementing measures to promote gender balance. To evaluate the prevalence of current recruiting, promotion and retention practices, as well as to identify new strategies, we conducted a survey with 57 respondents, mostly from EU countries. The respondents reported various measures adopted by their Higher Education Institutions (HEI) and the percentages of female representation. Our findings show that women are typically more represented at Ph.D. level compared to senior positions, such as associate or assistant professors. Our study reveals that some institutions are already implementing numerous effective practices to achieve gender balance in the recruitment, retention, and promotion of women in informatics academia, which can serve as exemplary models. Our results provide valuable insights for institutions aiming to enhance gender balance in informatics within academia. © 2025 The Editor(s) (if applicable) and The Author(s).
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