Daniel Gática-Pérez
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View article: Decoding community proximity discourse: A mixed-methods comparative analysis of online local and national newspapers in Romandy, Switzerland
Decoding community proximity discourse: A mixed-methods comparative analysis of online local and national newspapers in Romandy, Switzerland Open
This paper presents a mixed-method approach to analyzing news media, combining quantitative linguistic metrics with qualitative discourse frameworks. We first extract linguistic features such as quotations, readability levels, and lexical …
View article: Assessment of Personality Dimensions Across Situations Using Conversational Speech
Assessment of Personality Dimensions Across Situations Using Conversational Speech Open
Prior research indicates that users prefer assistive technologies whose personalities align with their own. This has sparked interest in automatic personality perception (APP), which aims to predict an individual's perceived personality tr…
View article: Co-Designing with Multiple Stakeholders and Datasets: A Community-Centered Process to Understand Youth Deviance in the Italian City of Turin
Co-Designing with Multiple Stakeholders and Datasets: A Community-Centered Process to Understand Youth Deviance in the Italian City of Turin Open
This paper presents the co-design and design evaluation of Sbocciamo Torino civic tool, which helps understand and act upon the issues of youth deviance in the Italian city of Turin through multi-stakeholder collaboration and collaborative…
View article: Decoding community proximity discourse: a mixed-methods comparative analysis of online local and national newspapers in Romandy, Switzerland
Decoding community proximity discourse: a mixed-methods comparative analysis of online local and national newspapers in Romandy, Switzerland Open
This paper presents a mixed-method approach to analyzing news media, combining quantitative linguistic metrics with qualitative discourse frameworks. We first extract linguistic features such as quotations, readability levels, and lexical …
View article: Decoding community proximity discourse: a mixed-methods comparative analysis of online local and national newspapers in Romandy, Switzerland
Decoding community proximity discourse: a mixed-methods comparative analysis of online local and national newspapers in Romandy, Switzerland Open
This paper presents a mixed-method approach to analyzing news media, combining quantitative linguistic metrics with qualitative discourse frameworks. We first extract linguistic features such as quotations, readability levels, and lexical …
View article: Inferring Mood-While-Eating with Smartphone Sensing and Community-Based Model Personalization
Inferring Mood-While-Eating with Smartphone Sensing and Community-Based Model Personalization Open
The interplay between mood and eating episodes has been extensively researched within the fields of nutrition, psychology, and behavioral science, revealing a connection between the two. Previous studies have relied on questionnaires and m…
View article: DiversityOne: A Multi-Country Smartphone Sensor Dataset for Everyday Life Behavior Modeling
DiversityOne: A Multi-Country Smartphone Sensor Dataset for Everyday Life Behavior Modeling Open
Understanding everyday life behavior of young adults through personal devices, e.g., smartphones and smartwatches, is key for various applications, from enhancing the user experience in mobile apps to enabling appropriate interventions in …
View article: Decoding community proximity discourse: a mixed-methods comparative analysis of online local and national newspapers in Romandy, Switzerland
Decoding community proximity discourse: a mixed-methods comparative analysis of online local and national newspapers in Romandy, Switzerland Open
This paper presents a mixed-method approach to analyzing news media, combining quantitative linguistic metrics with qualitative discourse frameworks. We first extract linguistic features such as quotations, readability levels, and lexical …
View article: Decoding Community Proximity Discourse: A Mixed-Methods Comparative Analysis of Online Local and National Newspapers in Romandy, Switzerland
Decoding Community Proximity Discourse: A Mixed-Methods Comparative Analysis of Online Local and National Newspapers in Romandy, Switzerland Open
This paper introduces a mixed-method approach to media analysis, integrating quantitative linguistic metrics with qualitative content analysis grounded in Fairclough's model of discourse analysis—to incorporate external socio-cultural cont…
View article: Generative AI Literacy: Twelve Defining Competencies
Generative AI Literacy: Twelve Defining Competencies Open
This article introduces a competency-based model for generative artificial intelligence (AI) literacy covering essential skills and knowledge areas necessary to interact with generative AI. The competencies range from foundational AI liter…
View article: Human Interest or Conflict? Leveraging LLMs for Automated Framing Analysis in TV Shows
Human Interest or Conflict? Leveraging LLMs for Automated Framing Analysis in TV Shows Open
In the current media landscape, understanding the framing of information is\ncrucial for critical consumption and informed decision making. Framing analysis\nis a valuable tool for identifying the underlying perspectives used to present\ni…
View article: M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training
M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training Open
Over the years, multimodal mobile sensing has been used extensively for inferences regarding health and well-being, behavior, and context. However, a significant challenge hindering the widespread deployment of such models in real-world sc…
View article: Learning About Social Context From Smartphone Data: Generalization Across Countries and Daily Life Moments
Learning About Social Context From Smartphone Data: Generalization Across Countries and Daily Life Moments Open
Understanding how social situations unfold in people's daily lives is relevant to designing mobile systems that can support users in their personal goals, well-being, and activities. As an alternative to questionnaires, some studies have u…
View article: ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees
ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees Open
Graph Neural Networks (GNNs) have become a popular tool for learning on graphs, but their widespread use raises privacy concerns as graph data can contain personal or sensitive information. Differentially private GNN models have been recen…
View article: Understanding the Social Context of Eating with Multimodal Smartphone Sensing: The Role of Country Diversity
Understanding the Social Context of Eating with Multimodal Smartphone Sensing: The Role of Country Diversity Open
Understanding the social context of eating is crucial for promoting healthy eating behaviors. Multimodal smartphone sensor data could provide valuable insights into eating behavior, particularly in mobile food diaries and mobile health app…
View article: GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation Open
In this paper, we study the problem of learning Graph Neural Networks (GNNs) with Differential Privacy (DP). We propose a novel differentially private GNN based on Aggregation Perturbation (GAP), which adds stochastic noise to the GNN's ag…
View article: Keep Sensors in Check: Disentangling Country-Level Generalization Issues in Mobile Sensor-Based Models with Diversity Scores
Keep Sensors in Check: Disentangling Country-Level Generalization Issues in Mobile Sensor-Based Models with Diversity Scores Open
Machine learning models trained with passive sensor data from mobile devices can be used to perform various inferences pertaining to activity recognition, context awareness, and health and well-being. Prior work has improved inference perf…
View article: Urban Crowdsourcing Platforms across the World: A Systematic Review
Urban Crowdsourcing Platforms across the World: A Systematic Review Open
Urban crowdsourcing platforms are becoming increasingly important, especially considering the relevance of citizen-centricity in smart cities. This systematic review aims at analyzing existing academic literature on urban crowdsourcing pla…
View article: Diversity and neocolonialism in Big Data research: Avoiding extractivism while struggling with paternalism
Diversity and neocolonialism in Big Data research: Avoiding extractivism while struggling with paternalism Open
The extractive logic of Big Data-driven technology and knowledge production has raised serious concerns. While most criticism initially focused on the impacts on Western societies, attention is now increasingly turning to the consequences …
View article: Referencing in YouTube Knowledge Communication Videos
Referencing in YouTube Knowledge Communication Videos Open
In recent years, there has been widespread concern about misinformation and hateful content on social media that are damaging societies. Being one of the most influential social media that practically serves as a newsearch engine, YouTube …
View article: Framing the News: From Human Perception to Large Language Model Inferences
Framing the News: From Human Perception to Large Language Model Inferences Open
Identifying the frames of news is important to understand the articles'\nvision, intention, message to be conveyed, and which aspects of the news are\nemphasized. Framing is a widely studied concept in journalism, and has emerged\nas a new…
View article: Inferring Mood-While-Eating with Smartphone Sensing and Community-Based Model Personalization
Inferring Mood-While-Eating with Smartphone Sensing and Community-Based Model Personalization Open
The interplay between mood and eating episodes has been extensively researched, revealing a connection between the two. Previous studies have relied on questionnaires and mobile phone self-reports to investigate the relationship between mo…
View article: Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework
Examining European Press Coverage of the Covid-19 No-Vax Movement: An NLP Framework Open
This paper examines how the European press dealt with the no-vax reactions against the Covid-19 vaccine and the dis- and misinformation associated with this movement. Using a curated dataset of 1786 articles from 19 European newspapers on …
View article: Learning About Social Context from Smartphone Data: Generalization Across Countries and Daily Life Moments
Learning About Social Context from Smartphone Data: Generalization Across Countries and Daily Life Moments Open
Understanding how social situations unfold in people's daily lives is relevant to designing mobile systems that can support users in their personal goals, well-being, and activities. As an alternative to questionnaires, some studies have u…
View article: Understanding the Social Context of Eating with Multimodal Smartphone Sensing: The Role of Country Diversity
Understanding the Social Context of Eating with Multimodal Smartphone Sensing: The Role of Country Diversity Open
Understanding the social context of eating is crucial for promoting healthy eating behaviors. Multimodal smartphone sensor data could provide valuable insights into eating behavior, particularly in mobile food diaries and mobile health app…
View article: Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK
Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK Open
Smartphones enable understanding human behavior with activity recognition to support peoples daily lives. Prior studies focused on using inertial sensors to detect simple activities (sitting, walking, running, etc.) and were mostly conduct…
View article: ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees
ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees Open
Graph Neural Networks (GNNs) have become a popular tool for learning on graphs, but their widespread use raises privacy concerns as graph data can contain personal or sensitive information. Differentially private GNN models have been recen…
View article: LEVERAGING OR EXPLOITING? BREAKING THROUGH DATA COLONIALISM AND ETHNOCENTRISM WHEN BUILDING A DIVERSITY-AWARE SOCIAL PLATFORM.
LEVERAGING OR EXPLOITING? BREAKING THROUGH DATA COLONIALISM AND ETHNOCENTRISM WHEN BUILDING A DIVERSITY-AWARE SOCIAL PLATFORM. Open
The extractive logic of data-driven technology and knowledge production has raised serious concerns. While this discourse initially focused on the impact on Western societies, attention is increasingly turning to the consequences for count…