Lara Fontanella
Biographic Data
| ID | 4264612 |
|---|---|
| NAME | Lara Fontanella |
| GIVEN NAMES | Lara |
| FAMILY NAME | Fontanella |
| SIGNATURE | FONTANELLA L |
| AFFILIATIONS | University of Chieti-Pescara |
| ORCID | 0000-0002-5441-0035 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 19 |
| WORKS AS AUTHOR | 15 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
Beyond words
The rapid advancement of Generative AI, particularly large language models (LLMs), has sparked an extensive debate regarding the use of synthetic data in social research. Beyond the profound epistemological implications of this possibility, the first prerequisite for its feasibility is to test if such models adjust their responses to capture the vast individual and social diversity found in human populations and, if so, to what extent their outpu…
Assessing long-term strategies to effectively counteracting online misogynistic speech using a Delphi-based future scenarios approach
This paper addresses the pressing issue of online misogynistic speech, which has proliferated with the widespread use of social media platforms. We examine the role of prosumers in content creation and dissemination, highlighting the dual nature of their engagement. While this participatory dynamic amplifies diverse voices, it also facilitates the spread of offensive and harmful content, contributing to online harassment and misogyny. Recognising…
Proposing the use of psychometric network analysis to investigate the relationship between teachers and technology
This study investigates the impact of technology integration in school context on teacher burnout, examining factors such as technostress, negative thinking and resistance to innovation among teachers. The research utilizes a questionnaire combining the Copenhagen Burnout Inventory and technology-related items, administered to 430 Italian school teachers from diverse regions and educational levels. The analysis employs psychometric network analys…
The Italian Manosphere
The digital sphere is pivotal in shaping social norms, and the Italian “manosphere” is a key player in this process. This study examines the composition and structure of the Italian manosphere, an intricate online ecosystem characterised by antifeminist and often misogynistic ideologies. Through a comprehensive analysis of Facebook networks and blog presentations from various groups, we mapped and classified the main actors within this ecosystem,…
What Your Face Says
Two studies investigated how facial signals of communion and agency intersect to shape first impressions. Study 1 primarily investigated how enhancing or reducing facial signals of communion or agency affected impressions of these dimensions. Results demonstrated that the manipulation of facial signals of communion affected impressions of both communion and agency, whereas the manipulation of facial signals of agency affected only impressions of …
How do we study misogyny in the digital age? A systematic literature review using a computational linguistic approach
Nowadays, despite centuries of striving for equality, women still face higher levels of discrimination compared to men in nearly every aspect of life. Recently, this systemic inequality has manifested in cyberspace through the proliferation of abusive content that is even more aggressive than what one would expect in the 21st century. Various research disciplines are now attempting to characterise this new manifestation of misogyny. The endeavour…
An Italian lexical resource for incivility detection in online discourses
The exponential growth of social media has brought an increasing propagation of online hostile communication and vitriolic discourses, and social media have become a fertile ground for heated discussions that frequently result in the use of insulting and offensive language. Lexical resources containing specific negative words have been widely employed to detect uncivil communication. This paper describes the development and implementation of an i…
World Futures Day 2022
Exploring the research dynamics of futures studies
Thirty years of research into hate speech
The exponential growth of social media has brought with it an increasing propagation of hate speech and hate based propaganda. Hate speech is commonly defined as any communication that disparages a person or a group on the basis of some characteristics such as race, colour, ethnicity, gender, sexual orientation, nationality, religion. Online hate diffusion has now developed into a serious problem and this has led to a number of international init…
Emerging Topics in Brexit Debate on Twitter Around the Deadlines
The present study is focused on the online debate relating to the Brexit process, three years and half since the historical referendum that has sanctioned the divide of the United Kingdom from the European Union. In our analysis we consider a corpus of approximately 33 million Brexit related tweets, shared on Twitter for 58 weeks, spanning from 31 December 2019 to 9 February 2020. Due to its great accessibility to data, Twitter constitutes a conv…
Do Gender Differences in Social Institutions Matter in Shaping Gender Equality in Education and the Labour Market? Empirical Evidences from Developing Countries
Simple Structure Detection Through Bayesian Exploratory Multidimensional IRT Models
In modern validity theory, a major concern is the construct validity of a test, which is commonly assessed through confirmatory or exploratory factor analysis. In the framework of Bayesian exploratory Multidimensional Item Response Theory (MIRT) models, we discuss two methods aimed at investigating the underlying structure of a test, in order to verify if the latent model adheres to a chosen simple factorial structure. This purpose is achieved wi…
Identifying Students at Risk of Academic Failure Within the Educational Data Mining Framework
Stereotyping Roma people in Italy
Stereotyping Roma people in Italy
Do Gender Differences in Social Institutions Matter in Shaping Gender Equality in Education and the Labour Market? Empirical Evidences from Developing Countries
Exploring the research dynamics of futures studies
Emerging Topics in Brexit Debate on Twitter Around the Deadlines
The present study is focused on the online debate relating to the Brexit process, three years and half since the historical referendum that has sanctioned the divide of the United Kingdom from the European Union. In our analysis we consider a corpus of approximately 33 million Brexit related tweets, shared on Twitter for 58 weeks, spanning from 31 December 2019 to 9 February 2020. Due to its great accessibility to data, Twitter constitutes a conv…
World Futures Day 2022
Stereotyping Roma people in Italy
Identifying Students at Risk of Academic Failure Within the Educational Data Mining Framework
Simple Structure Detection Through Bayesian Exploratory Multidimensional IRT Models
In modern validity theory, a major concern is the construct validity of a test, which is commonly assessed through confirmatory or exploratory factor analysis. In the framework of Bayesian exploratory Multidimensional Item Response Theory (MIRT) models, we discuss two methods aimed at investigating the underlying structure of a test, in order to verify if the latent model adheres to a chosen simple factorial structure. This purpose is achieved wi…
Do Gender Differences in Social Institutions Matter in Shaping Gender Equality in Education and the Labour Market? Empirical Evidences from Developing Countries
Thirty years of research into hate speech
The exponential growth of social media has brought with it an increasing propagation of hate speech and hate based propaganda. Hate speech is commonly defined as any communication that disparages a person or a group on the basis of some characteristics such as race, colour, ethnicity, gender, sexual orientation, nationality, religion. Online hate diffusion has now developed into a serious problem and this has led to a number of international init…
Emerging Topics in Brexit Debate on Twitter Around the Deadlines
The present study is focused on the online debate relating to the Brexit process, three years and half since the historical referendum that has sanctioned the divide of the United Kingdom from the European Union. In our analysis we consider a corpus of approximately 33 million Brexit related tweets, shared on Twitter for 58 weeks, spanning from 31 December 2019 to 9 February 2020. Due to its great accessibility to data, Twitter constitutes a conv…
An Italian lexical resource for incivility detection in online discourses
The exponential growth of social media has brought an increasing propagation of online hostile communication and vitriolic discourses, and social media have become a fertile ground for heated discussions that frequently result in the use of insulting and offensive language. Lexical resources containing specific negative words have been widely employed to detect uncivil communication. This paper describes the development and implementation of an i…
World Futures Day 2022
Exploring the research dynamics of futures studies
How do we study misogyny in the digital age? A systematic literature review using a computational linguistic approach
Nowadays, despite centuries of striving for equality, women still face higher levels of discrimination compared to men in nearly every aspect of life. Recently, this systemic inequality has manifested in cyberspace through the proliferation of abusive content that is even more aggressive than what one would expect in the 21st century. Various research disciplines are now attempting to characterise this new manifestation of misogyny. The endeavour…
Proposing the use of psychometric network analysis to investigate the relationship between teachers and technology
This study investigates the impact of technology integration in school context on teacher burnout, examining factors such as technostress, negative thinking and resistance to innovation among teachers. The research utilizes a questionnaire combining the Copenhagen Burnout Inventory and technology-related items, administered to 430 Italian school teachers from diverse regions and educational levels. The analysis employs psychometric network analys…
The Italian Manosphere
The digital sphere is pivotal in shaping social norms, and the Italian “manosphere” is a key player in this process. This study examines the composition and structure of the Italian manosphere, an intricate online ecosystem characterised by antifeminist and often misogynistic ideologies. Through a comprehensive analysis of Facebook networks and blog presentations from various groups, we mapped and classified the main actors within this ecosystem,…
What Your Face Says
Two studies investigated how facial signals of communion and agency intersect to shape first impressions. Study 1 primarily investigated how enhancing or reducing facial signals of communion or agency affected impressions of these dimensions. Results demonstrated that the manipulation of facial signals of communion affected impressions of both communion and agency, whereas the manipulation of facial signals of agency affected only impressions of …
Beyond words
The rapid advancement of Generative AI, particularly large language models (LLMs), has sparked an extensive debate regarding the use of synthetic data in social research. Beyond the profound epistemological implications of this possibility, the first prerequisite for its feasibility is to test if such models adjust their responses to capture the vast individual and social diversity found in human populations and, if so, to what extent their outpu…
Assessing long-term strategies to effectively counteracting online misogynistic speech using a Delphi-based future scenarios approach
This paper addresses the pressing issue of online misogynistic speech, which has proliferated with the widespread use of social media platforms. We examine the role of prosumers in content creation and dissemination, highlighting the dual nature of their engagement. While this participatory dynamic amplifies diverse voices, it also facilitates the spread of offensive and harmful content, contributing to online harassment and misogyny. Recognising…
Computer Science (8 works) · Sociology (7 works) · Artificial Intelligence (5 works) · Data science (5 works) · Psychology (5 works) · Artificial Intelligence (4 works) · Political science (4 works) · Social media (4 works) · Social Psychology (4 works) · World Wide Web (4 works)