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Article: When a luxury brand bursts: Modelling the social media viral effects of negative stereotypes adoption leading to brand hate.

Pantano, Eleonora

Journal of business research

2020 Volume 123, Page(s) 117–125

Abstract: In early 2020, the World Health Organization (WHO) developed the term "infodemic" to describe the velocity at which data can be exchanged among people, in a free virtual space where firms have limited control over the information diffusion. In particular, ...

Abstract	In early 2020, the World Health Organization (WHO) developed the term "infodemic" to describe the velocity at which data can be exchanged among people, in a free virtual space where firms have limited control over the information diffusion. In particular, the diffusion of information on social media has analogies with the transmission (contagion) of social phenomena and infectious diseases. The aim of this research is to model the viral effects of a luxury marketing campaign when adopting negative stereotypes to increase the market share in a growing market. The campaign generated 506,127 likes of celebrity endorsers/influencers and 17,984 comments spread worldwide in a relatively short period, producing a "burst". Findings revealed the unexpected social burst occurred with negative consumers' evaluation, which has been amplified becoming dramatically damaging for the brand (brand hate).
Keywords	covid19
Language	English
Publishing date	2020-10-06
Publishing country	United States
Document type	Journal Article
ISSN	0148-2963
ISSN	0148-2963
DOI	10.1016/j.jbusres.2020.09.049
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: No time to lie: Examining the identity of pro-vaccination and anti-vaccination supporters through user-generated content.

Kadić-Maglajlić, Selma / Lages, Cristiana R / Pantano, Eleonora

Social science & medicine (1982)

2024 Volume 347, Page(s) 116721

Abstract: Objective: This study delves into the social identity of pro-vaccination and anti-vaccination supporters, emphasizing an understanding of the values that shape these distinct identities. Furthermore, the research highlights that user-generated content ... ...

Abstract	Objective: This study delves into the social identity of pro-vaccination and anti-vaccination supporters, emphasizing an understanding of the values that shape these distinct identities. Furthermore, the research highlights that user-generated content pertaining to vaccines offers valuable insights into the underlying personal values of both pro-vaccination and anti-vaccination groups. Method: We constructed a textual dataset based on 142,596 tweets. This data was analyzed in three steps. First, the linguistic characteristics of the textual data, together with the underlying personal values of the text creators, were identified using LIWC software. Second, the identified personal values were used as an input for the moderation analysis, which examined the relationship between personal values and social identity for pro- and anti-vaccination groups. Finally, an automated, in-depth text analysis was conducted in Mathematica to understand the narratives created by both groups. Results: The study findings indicate that both pro-vaccination and anti-vaccination supporters display characteristics of subcultures with distinct group identities. Consequently, based on the results, there is a need for more tailored public health communication strategies that address these two groups separately. Conclusions: Understanding how users create health-related content based on their personal values is crucial. Acknowledging and appreciating the diverse personal values and identities within different groups in the vaccination discourse can inform health communication efforts, aligning these efforts with the specific values of each group. This targeted communication is vital for effectively conveying relevant peer-reviewed health information amid the abundance of health-related user-generated content.
MeSH term(s)	Humans ; Social Media ; Vaccination ; Vaccines ; Health Communication ; Narration
Chemical Substances	Vaccines
Language	English
Publishing date	2024-03-01
Publishing country	England
Document type	Journal Article
ZDB-ID	4766-1
ISSN	1873-5347 ; 0037-7856 ; 0277-9536
ISSN (online)	1873-5347
ISSN	0037-7856 ; 0277-9536
DOI	10.1016/j.socscimed.2024.116721
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Article ; Online: Jewels from chaos: A fascinating journey from abstract forms to physical objects.

Bertacchini, Francesca / Pantano, Pietro S / Bilotta, Eleonora

Chaos (Woodbury, N.Y.)

2023 Volume 33, Issue 1, Page(s) 13132

Abstract: An intellectual journey that began with the discovery of strange attractors derived from Chua's circuit, their translation into physical shapes by means of 3D printers, and finally, to the production of jewelry is presented. After giving the mathematical ...

Abstract	An intellectual journey that began with the discovery of strange attractors derived from Chua's circuit, their translation into physical shapes by means of 3D printers, and finally, to the production of jewelry is presented. After giving the mathematical characteristics of Chua's circuit, we explain the chaotic design process, used for creating jewels, providing specifications of the used methodological approach, for its reproduction. We discuss the feasibility of this approach and the transmission of scientific contents on chaos theory, usually restricted to university students, in a high school Science, Technology, Engineering, Art, and Mathematics course, for the realization of advanced educational processes, implemented both in computational and real environments. We think that the idea of transforming science into art forms can drive students in acquiring scientific knowledge and skills, allowing them to discover the inner beauty of chaos.
Language	English
Publishing date	2023-01-21
Publishing country	United States
Document type	Journal Article
ZDB-ID	1472677-4
ISSN	1089-7682 ; 1054-1500
ISSN (online)	1089-7682
ISSN	1054-1500
DOI	10.1063/5.0130029
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: A social robot connected with chatGPT to improve cognitive functioning in ASD subjects.

Bertacchini, Francesca / Demarco, Francesco / Scuro, Carmelo / Pantano, Pietro / Bilotta, Eleonora

Frontiers in psychology

2023 Volume 14, Page(s) 1232177

Abstract: Neurodevelopmental Disorders (NDDs) represent a significant healthcare and economic burden for families and society. Technology, including AI and digital technologies, offers potential solutions for the assessment, monitoring, and treatment of NDDs. ... ...

Abstract	Neurodevelopmental Disorders (NDDs) represent a significant healthcare and economic burden for families and society. Technology, including AI and digital technologies, offers potential solutions for the assessment, monitoring, and treatment of NDDs. However, further research is needed to determine the effectiveness, feasibility, and acceptability of these technologies in NDDs, and to address the challenges associated with their implementation. In this work, we present the application of social robotics using a Pepper robot connected to the OpenAI system (Chat-GPT) for real-time dialogue initiation with the robot. After describing the general architecture of the system, we present two possible simulated interaction scenarios of a subject with Autism Spectrum Disorder in two different situations. Limitations and future implementations are also provided to provide an overview of the potential developments of interconnected systems that could greatly contribute to technological advancements for Neurodevelopmental Disorders (NDD).
Language	English
Publishing date	2023-10-05
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2563826-9
ISSN	1664-1078
ISSN	1664-1078
DOI	10.3389/fpsyg.2023.1232177
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A Project Based Learning Approach for Improving Students' Computational Thinking Skills.

Bertacchini, Francesca / Scuro, Carmelo / Pantano, Pietro / Bilotta, Eleonora

Frontiers in robotics and AI

2022 Volume 9, Page(s) 720448

Abstract: An educational robotics lab has been planned for undergraduate students in an Electronic Engineering degree, using the Project Based Learning (PBL) approach and the NAO robot. Students worked in a research context, with the aim of making the functions of ...

Abstract	An educational robotics lab has been planned for undergraduate students in an Electronic Engineering degree, using the Project Based Learning (PBL) approach and the NAO robot. Students worked in a research context, with the aim of making the functions of the NAO robot as social and autonomous as possible, adopting in the design process the Wolfram Language (WL), from the Mathematica software. Interfacing the programming environment of the NAO with Mathematica, they solved in part the problem of autonomy of the NAO, thus realizing enhanced functions of autonomous movement, recognition of human faces and speech for improving the system social interaction. An external repository was created to streamline processes and stow data that the robot can easily access. Self-assessment processes demonstrated that the course provided students with useful skills to cope with real life problems. Cognitive aspects of programming by WL have also been collected in the students' feedback.
Language	English
Publishing date	2022-03-07
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2781824-X
ISSN	2296-9144 ; 2296-9144
ISSN (online)	2296-9144
ISSN	2296-9144
DOI	10.3389/frobt.2022.720448
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Modelling brain dynamics by Boolean networks.

Bertacchini, Francesca / Scuro, Carmelo / Pantano, Pietro / Bilotta, Eleonora

Scientific reports

2022 Volume 12, Issue 1, Page(s) 16543

Abstract: Understanding the relationship between brain architecture and brain function is a central issue in neuroscience. We modeled realistic spatio-temporal patterns of brain activity on a human connectome with a Boolean networks model with the aim of ... ...

Abstract	Understanding the relationship between brain architecture and brain function is a central issue in neuroscience. We modeled realistic spatio-temporal patterns of brain activity on a human connectome with a Boolean networks model with the aim of computationally replicating certain cognitive functions as they emerge from the standardization of many fMRI studies, identified as patterns of human brain activity. Results from the analysis of simulation data, carried out for different parameters and initial conditions identified many possible paths in the space of parameters of these network models, with normal (ordered asymptotically constant patterns), chaotic (oscillating or disordered) but also highly organized configurations, with countless spatial-temporal patterns. We interpreted these results as routes to chaos, permanence of the systems in regimes of complexity, and ordered stationary behavior, associating these dynamics to cognitive processes. The most important result of this work is the study of emergent neural circuits, i.e., configurations of areas that synchronize over time, both locally and globally, determining the emergence of computational analogues of cognitive processes, which may or may not be similar to the functioning of biological brain. Furthermore, results put in evidence the creation of how the brain creates structures of remote communication. These structures have hierarchical organization, where each level allows for the emergence of brain organizations which behave at the next superior level. Taken together these results allow the interplay of dynamical and topological roots of the multifaceted brain dynamics to be understood.
MeSH term(s)	Brain ; Computer Simulation ; Connectome/methods ; Humans ; Magnetic Resonance Imaging/methods ; Time
Language	English
Publishing date	2022-10-03
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-022-20979-x
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A Project Based Learning Approach for Improving Students’ Computational Thinking Skills

Francesca Bertacchini / Carmelo Scuro / Pietro Pantano / Eleonora Bilotta

Frontiers in Robotics and AI, Vol

2022 Volume 9

Abstract	An educational robotics lab has been planned for undergraduate students in an Electronic Engineering degree, using the Project Based Learning (PBL) approach and the NAO robot. Students worked in a research context, with the aim of making the functions of the NAO robot as social and autonomous as possible, adopting in the design process the Wolfram Language (WL), from the Mathematica software. Interfacing the programming environment of the NAO with Mathematica, they solved in part the problem of autonomy of the NAO, thus realizing enhanced functions of autonomous movement, recognition of human faces and speech for improving the system social interaction. An external repository was created to streamline processes and stow data that the robot can easily access. Self-assessment processes demonstrated that the course provided students with useful skills to cope with real life problems. Cognitive aspects of programming by WL have also been collected in the students’ feedback.
Keywords	educational robotics ; social robots ; motor-behavior ; project-based learning ; mathematica wolfram language ; Mechanical engineering and machinery ; TJ1-1570 ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	629
Language	English
Publishing date	2022-03-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: SARS-CoV-2 emerging complexity and global dynamics.

Bertacchini, Francesca / Pantano, Pietro S / Bilotta, Eleonora

Chaos (Woodbury, N.Y.)

2021 Volume 31, Issue 12, Page(s) 123110

Abstract: The novel SARS-CoV-2 virus, prone to variation when interacting with spatially extended ecosystems and within hosts, can be considered a complex dynamic system. Therefore, it behaves creating several space-time manifestations of its dynamics. However, ... ...

Abstract	The novel SARS-CoV-2 virus, prone to variation when interacting with spatially extended ecosystems and within hosts, can be considered a complex dynamic system. Therefore, it behaves creating several space-time manifestations of its dynamics. However, these physical manifestations in nature have not yet been fully disclosed or understood. Here we show 4D and 2D space-time patterns of the rate of infected individuals on a global scale, giving quantitative measures of transitions between different dynamical behaviors. By slicing the spatiotemporal patterns, we found manifestations of the virus behavior, such as cluster formation and bifurcation. Furthermore, by analyzing morphogenesis processes by entropy, we have been able to detect the virus phase transitions, typical of adaptive biological systems. Our results for the first time describe the virus patterning behavior processes all over the world, giving them quantitative measures. We know that the outcomes of this work are still partial and more advanced analyses of the virus behavior in nature are necessary. However, we think that the set of methods implemented can provide significant advantages to better analyze the viral behavior in the approach of system biology, thus expanding knowledge and improving pandemic problem solving.
MeSH term(s)	COVID-19 ; Ecosystem ; Humans ; Pandemics ; SARS-CoV-2 ; Viruses
Language	English
Publishing date	2021-12-31
Publishing country	United States
Document type	Journal Article
ZDB-ID	1472677-4
ISSN	1089-7682 ; 1054-1500
ISSN (online)	1089-7682
ISSN	1054-1500
DOI	10.1063/5.0062749
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A unifying nonlinear probabilistic epidemic model in space and time.

Beneduci, Roberto / Bilotta, Eleonora / Pantano, Pietro

Scientific reports

2021 Volume 11, Issue 1, Page(s) 13860

Abstract: Covid-19 epidemic dramatically relaunched the importance of mathematical modelling in supporting governments decisions to slow down the disease propagation. On the other hand, it remains a challenging task for mathematical modelling. The interplay ... ...

Abstract	Covid-19 epidemic dramatically relaunched the importance of mathematical modelling in supporting governments decisions to slow down the disease propagation. On the other hand, it remains a challenging task for mathematical modelling. The interplay between different models could be a key element in the modelling strategies. Here we propose a continuous space-time non-linear probabilistic model from which we can derive many of the existing models both deterministic and stochastic as for example SI, SIR, SIR stochastic, continuous-time stochastic models, discrete stochastic models, Fisher-Kolmogorov model. A partial analogy with the statistical interpretation of quantum mechanics provides an interpretation of the model. Epidemic forecasting is one of its possible applications; in principle, the model can be used in order to locate those regions of space where the infection probability is going to increase. The connection between non-linear probabilistic and non-linear deterministic models is analyzed. In particular, it is shown that the Fisher-Kolmogorov equation is connected to linear probabilistic models. On the other hand, a generalized version of the Fisher-Kolmogorov equation is derived from the non-linear probabilistic model and is shown to be characterized by a non-homogeneous time-dependent diffusion coefficient (anomalous diffusion) which encodes information about the non-linearity of the probabilistic model.
MeSH term(s)	Algorithms ; COVID-19/epidemiology ; Computer Simulation ; Humans ; Models, Biological ; Models, Statistical ; Models, Theoretical ; SARS-CoV-2/pathogenicity ; Stochastic Processes
Language	English
Publishing date	2021-07-05
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-021-93388-1
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Competing during a pandemic? Retailers' ups and downs during the COVID-19 outbreak.

Pantano, Eleonora / Pizzi, Gabriele / Scarpi, Daniele / Dennis, Charles

Journal of business research

2020 Volume 116, Page(s) 209–213

Abstract: The COVID-19 pandemic (that started in early 2020) is causing several disruptions in the short- and mid-term, to which businesses have to adapt. Some retailers have reacted to the emergency immediately, displaying a plethora of different intervention ... ...

Abstract	The COVID-19 pandemic (that started in early 2020) is causing several disruptions in the short- and mid-term, to which businesses have to adapt. Some retailers have reacted to the emergency immediately, displaying a plethora of different intervention types. The authors aim to synthesize the challenges that retailers are facing during the COVID-19 emergency. We do this from the perspective of both consumers and managers, with the goal of providing guidelines on and examples of how retailers can handle this unprecedented situation.
Keywords	covid19
Language	English
Publishing date	2020-05-21
Publishing country	United States
Document type	Journal Article
ISSN	0148-2963
ISSN	0148-2963
DOI	10.1016/j.jbusres.2020.05.036
Database	MEDical Literature Analysis and Retrieval System OnLINE

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