This paper introduces the 20 workshops that were organized at The Web Conference 2023.

This is the 9th edition of the workshop series labeled “AW4City – Web Applications and Smart Cities”, which started back in Florence in 2015 and kept on taking place every year in conjunction with the WWW conference series. Last year the workshop was ...

The internet has ingrained itself into every aspect of our lives, but there's one aspect of the digital world that some take for granted. Did you ever notice that many links, specifically hyperlinks, are blue? When a coworker casually asked me why links ...

Locating and characterizing polarization is one of the most important issues to enable a healthier web ecosystem. Finding groups of nodes that form strongly stable agreements and participate in collective conflicts with other groups is an important ...

The use of pretrained embeddings has become widespread in modern e-commerce machine learning (ML) systems. In practice, however, we have encountered several key issues when using pretrained embedding in a real-world production system, many of which ...

Online stores in the US offer a unique scenario for Cross-Lingual Information Retrieval (CLIR) due to the mix of Spanish and English in user queries. Machine Translation (MT) provides an opportunity to lift relevance by translating the Spanish queries to ...

Searching for local communities is an important research challenge that allows for personalized community discovery and supports advanced data analysis in various complex networks, such as the World Wide Web, social networks, and brain networks. The ...

Social Media (SM) has become a stage for people to share thoughts, emotions, opinions, and almost every other aspect of their daily lives. This abundance of human interaction makes SM particularly attractive for social sensing. Especially during ...

Social media platforms provide fertile ground for investigating the processes of identity creation and communication that shape individual and public opinion. The computational methods used in social network analysis have opened the way for new ...

Building machine learning models can be a time-consuming process that often takes several months to implement in typical business scenarios. To ensure consistent model performance and account for variations in data distribution, regular retraining is ...

We have developed a conversational assistant called the Decision Assistant (DA) to help customers make purchase decisions. To answer customer queries successfully, we use a question and answering (QnA) system that retrieves data on product pages and ...

Social media have been deliberately used for malicious purposes, including political manipulation and disinformation. Most research focuses on high-resource languages. However, malicious actors share content across countries and languages, including low-...

Market sentiment analysis on social media content requires knowledge of both financial markets and social media jargon, which makes it a challenging task for human raters. The resulting lack of high-quality labeled data stands in the way of conventional ...

During the last decades, Anti-Financial Crime (AFC) entities and Financial Institutions have put a constantly increasing effort to reduce financial crime and detect fraudulent activities, that are changing and developing in extremely complex ways. We ...

Personalized Search(henceforth called P10d Search) focuses to deliver user-specific search results based on the previous purchases. Search engine retrieves the result based on the defined relevancy algorithm. When a user searches a keyword, search ...

Nowadays, false and unverified information on social media sway individuals’ perceptions during major geo-political events and threaten the quality of the whole digital information ecosystem. Since the Russian invasion of Ukraine, several fact-checking ...

Signed network graphs provide a way to model complex relationships and interdependencies between entities: negative edges allow for a deeper study of social dynamics. One approach to achieving balance in a network is to model the sources of conflict ...

Previous research has identified phenomena such as cyberbystander intervention and various other forms of responses to aggressive or hateful behaviours online. In the online media ecosystem, some people from marginalized communities and their allies ...

Graph neural networks have achieved state-of-the-art performance on graph-related tasks through layer-wise neighborhood aggregation. Previous works aim to achieve powerful capability via designing injective neighborhood aggregation functions in each ...

This paper describes a system for monitoring in real time the level of violence on Web platforms through the use of an artificial intelligence model to classify textual data according to their content. The system was successfully implemented and tested ...