Berta Chulvi

Universitat Politècnica de València | UPV · PRHLT

Internet and social media have revolutionised the way news is distributed and consumed. However, the constant flow of massive amounts of content has made it difficult to discern between truth and falsehood, especially in online platforms plagued with malicious actors who create and spread harmful stories. Debunking disinformation is costly, which h...

p>Depression has long been studied in the NLP field, with most works focusing on individuals' negative emotions. People with depression also experience happiness, but this was not extensively studied.Previous works have shown that approaches relying on sentiment or emotion classification are unsuitable for extracting the expressions of feelings tha...

p>Depression has long been studied in the NLP field, with most works focusing on individuals' negative emotions. People with depression also experience happiness, but this was not extensively studied.Previous works have shown that approaches relying on sentiment or emotion classification are unsuitable for extracting the expressions of feelings tha...

The spread of health misinformation has the potential to cause serious harm to public health, from leading to vaccine hesitancy to adoption of unproven disease treatments. In addition, it could have other effects on society such as an increase in hate speech towards ethnic groups or medical experts. To counteract the sheer amount of misinformation,...

This study uses natural language processing (NLP) tools to analyze how politicians recreate the stereotype of immigrants in the Spanish Parliament. An interdisciplinary approach from computational linguistics and social psychology has been used to construct a variety of indices about content and linguistic styles. The analysis of 2,516 parliamentar...

A new experiment tested — and confirmed — the hypothesis that being the perpetrator of the discrimination of the minority subsequently makes one perceive this minority as more threatening. The experimental procedure assumed that the act of marking corrections of the linguistic errors of a person was a performative act that improves the image of com...

We describe several approaches to text-and graph-based classification for detecting COVID-19 conspiracies on Twitter. We tackle the tasks of text classification with and without graph data, and classification of Twitter users based on user graph. To this end, we experiment with large transformer ensembles, GPT-3-based techniques, and a variety of g...

In this paper we raise the research question of whether fake news and hate speech spreaders share common patterns in language. We compute a novel index, the ingroup vs outgroup index, in three different datasets and we show that both phenomena share an "us vs them" narrative.

Mental disorders are an important public health issue. Computational methods have the potential to aid with the detection of risky behaviors online, through extracting information from social media in order to detect users at risk of developing mental disorders. In this domain, understanding the behavior of the computational models used is crucial....

The paper gives a brief overview of three shared tasks which have been organized at the PAN 2022 lab on digital text forensics and stylometry hosted at the CLEF 2022 conference. The tasks include authorship verification across discourse types, multi-author writing style analysis and author profiling. Some of the tasks continue and advance past edit...

Among the many tasks of the authorship field, Authorship Identification aims at uncovering the author of a document, while Author Profiling focuses on the analysis of personal characteristics of the author(s), such as gender, age, etc. Methods devised for such tasks typically focus on the style of the writing, and are expected not to make inference...

Authorship Identification is the branch of authorship analysis concerned with uncovering the author of a written document. Methods devised for Authorship Identification typically employ stylometry (the analysis of unconscious traits that authors exhibit while writing), and are expected not to make inferences grounded on the topics the authors usual...

Gypsies have been a marginalized and persecuted minority for more than five centuries. The experiment carried out compares the influence of a victimized minority-which accommodates itself to the prevailing society of victims-with an active minority that opts for vindicate the rights that are already guaranteed to the majority of individuals by soci...

The paper gives a brief overview of the four shared tasks to be organized at the PAN 2022 lab on digital text forensics and stylometry hosted at the CLEF 2022 conference. The tasks include authorship verification across discourse types, multi-author writing style analysis, author profiling, and content profiling. Some of the tasks continue and adva...

Dans ce dossier, on a surtout cherché à illustrer et documenter l’impact du Covid-19 sur la santé et la sécurité au travail dans les lieux de travail en Europe. Pour commencer, Berta Chulvi nous emmène à Barcelone dans le quartier ouvrier d’el Besòs i el Maresme où on découvre que la contamination s’arrête bizarrement à l’avenue Diagonal comme si l...

Gypsies have been a marginalized and persecuted minority for more than five centuries. The experiment carried out compares the influence of a victimized minority-which accommodates itself to the prevailing society of victims-with an active minority that opts for vindicate the rights that are already guaranteed to the majority of individuals by soci...

In this report, our main aim has been to illustrate and document the impact of Covid-19 on workers and the experience of the pandemic as an occupational health and safety issue around Europe. As a starting point, Berta Chulvi takes us to the working-class district of El Besòs i el Maresme in Barcelona, where we find, strangely, that infection stops...

The paper gives a brief overview of the three shared tasks organized at the PAN 2021 lab on digital text forensics and stylometry hosted at the CLEF conference. The tasks include authorship verification across domains, author profiling for hate speech spreaders, and style change detection for multi-author documents. In part the tasks are new and in...

Mental disorders are an important public health issue, and computational methods have the potential to aid with detection of risky behaviors online, through extracting information from social media in order to retrieve users at risk of developing mental disorders. At the same time, state-of-the-art machine learning models are based on neural networ...

Mental disorders can severely affect quality of life, constitute a major predictive factor of suicide, and are usually underdiagnosed and undertreated. Early detection of signs of mental health problems is particularly important, since unattended, they can be life-threatening. This is why a deep understanding of the complex manifestations of mental...

The next time you see an attractively packaged food product in a supermarket or an advertisement, take a moment to think about all the links in the chain that that product passed through to get to you. To help stimulate the thought process, this special report offers you an insight into the daily lives of the food chain workers, who are sometimes f...

Stereotype is a type of social bias massively present in texts that computational models use. There are stereotypes that present special difficulties because they do not rely on personal attributes. This is the case of stereotypes about immigrants, a social category that is a preferred target of hate speech and discrimination. We propose a new appr...

The paper gives a brief overview of the three shared tasks to be organized at the PAN 2021 lab on digital text forensics and stylometry hosted at the CLEF conference. The tasks include authorship verification across domains, author profiling for hate speech spreaders, and style change detection for multi-author documents. In part the tasks are new...

The concept of this article is that the symbolic relationships between human beings and animals serve as a model for the relationships between the majority and the ethnic minority. We postulate that there are two representations that serve to organize these relationships between human beings and animals: a domestic and a wild one. If the domestic a...

En: Cuadernos de pedagogía Barcelona 2007, n. 370, julio-agosto ; p. 46-49 Las dificultades para la inserción laboral de los jóvenes con discapacidad psíquica no radican en la falta de competencias. Se expone la eficacia del Programa de Garantía Social, impartido en un colegio público de educación especial en el que se dan clases de formación profe...

Se estudia la relación entre asimilación cultural de una minoría y el prejuicio hacia ella. Se desarrolla la hipótesis de un prejuicio genealógico: una jerarquía social anclada en una representación temporal del grupo. En un experimento 2 (minoría gitana sedentarizada frente a nómada) x 2 (temporal de la práctica cultural de la minoría (pretérita f...

Los estudios sobre el racismo indican que en la actualidad en el contexto occidental predomina la discriminación latente sobre la manifiesta. Aún replicándose este patrón, también se observa que unas minorías son más discriminadas que otras. Se plantea que el enfoque de las representaciones sociales puede resultar más adecuado que los enfoques acti...

The authors propose, following a historical review of the discrimination experienced by Gypsies in Spain beginning in the fifteenth century, that wen a minority resists the majority's attempts to convert it, the social representation of the minority is modified, becoming more negative, and discrimination is enhanced. (PsycINFO Database Record (c) 2...