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  • 1
    Online Resource
    Online Resource
    Emerging Topics in Brexit Debate on Twitter Around the Deadlines : A Probabilistic Topic Modelling Approach
    Springer Science and Business Media LLC ; 2021
    In:  Social Indicators Research Vol. 156, No. 2-3 ( 2021-08), p. 669-688
    Details
    In: Social Indicators Research, Springer Science and Business Media LLC, Vol. 156, No. 2-3 ( 2021-08), p. 669-688
    Abstract: 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 convenient data source to monitor and evaluate a wide variety of topics. In addition, Twitter’s marked orientation towards news and the dissemination of information makes this microblogging network more connected to politics compared to other platforms. Through static and dynamic topic modelling techniques, we were able to identify the topics that have attracted the most attention from Twitters users and to characterise their temporal evolution. The topics retrieved by the static model highlight the major events of the Brexit process while the dynamic analysis recovered the persistent themes of discussion and debate over the entire period.
    Type of Medium: Online Resource
    ISSN: 0303-8300 , 1573-0921
    URL: Article
    DOI: 10.1007/s11205-020-02442-4
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2018687-3
    SSG: 3,4
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  • 2
    Online Resource
    Online Resource
    Thirty years of research into hate speech: topics of interest and their evolution
    Springer Science and Business Media LLC ; 2021
    In:  Scientometrics Vol. 126, No. 1 ( 2021-01), p. 157-179
    Details
    In: Scientometrics, Springer Science and Business Media LLC, Vol. 126, No. 1 ( 2021-01), p. 157-179
    Abstract: 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 initiatives being proposed, aimed at qualifying the problem and developing effective counter-measures. The aim of this paper is to analyse the knowledge structure of hate speech literature and the evolution of related topics. We apply co-word analysis methods to identify different topics treated in the field. The analysed database was downloaded from Scopus, focusing on a number of publications during the last thirty years. Topic and network analyses of literature showed that the main research topics can be divided into three areas: “general debate hate speech versus freedom of expression”,“hate-speech automatic detection and classification by machine-learning strategies”, and “gendered hate speech and cyberbullying”. The understanding of how research fronts interact led to stress the relevance of machine learning approaches to correctly assess hatred forms of online speech.
    Type of Medium: Online Resource
    ISSN: 0138-9130 , 1588-2861
    URL: Article
    DOI: 10.1007/s11192-020-03737-6
    RVK:
    AK 10100
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2018679-4
    detail.hit.zdb_id: 435652-4
    SSG: 11
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  • 3
    Online Resource
    Online Resource
    Feedback to align teacher and student in a Digital Learning Ecosystem
    Franco Angeli ; 2023
    In:  EDUCATION SCIENCES AND SOCIETY , No. 1 ( 2023-07), p. 242-260
    Details
    In: EDUCATION SCIENCES AND SOCIETY, Franco Angeli, , No. 1 ( 2023-07), p. 242-260
    Abstract: In this paper, we present an example of a Digital Learning Ecosystem, set up during the first period of the pandemic emergency and then remodelled and re-proposed for hybrid didactics provided afterwards, involving five pedagogical-didactic courses of two universities in central Italy. The central device in this Ecosystem was recursive feedback, which in contexts of didactics mediated by screens can anyhow activate discursive, adaptive, interactive and reflexive dynamics. In order to understand if these aims were pursued, we administered an open-ended questionnaire to 274 students, which was not intended to measure their enjoyment of the method and the environment, but their perceptions regarding the effectiveness of the system on their learning processes, not only at a cognitive level, but also on at an interpersonal and intrapersonal level. The analysis was conducted according to the Structural Topic Model, which allowed us to re-read the responses as a unique corpus of reflective writings, generated by the students after the input provided by the assigned task.
    Type of Medium: Online Resource
    ISSN: 2038-9442 , 2284-015X
    URL: Article
    DOI: 10.3280/ess1-2023oa15761
    Language: English
    Publisher: Franco Angeli
    Publication Date: 2023
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  • 4
    Online Resource
    Online Resource
    The Aftermath of Long-Term Cigarette Smoking on Telomere Length and Mitochondrial DNA Copy Number in Human Cumulus Cells Prior to In Vitro Fertilization—A Pilot Study
    MDPI AG ; 2022
    In:  Antioxidants Vol. 11, No. 9 ( 2022-09-19), p. 1841-
    Details
    In: Antioxidants, MDPI AG, Vol. 11, No. 9 ( 2022-09-19), p. 1841-
    Abstract: Cigarette smoking among women of reproductive age is known to take a toll on systemic health and fertility potential by severely impacting ovarian tissues and cells, such as granulosa and cumulus cells (CCs). The purpose of this study was to determine the potential damage caused by tobacco smoke at a molecular level in the CCs of females who had undergone in vitro fertilization. The level of intracellular damage was determined by estimating the average telomere length (TL) and mitochondrial DNA copy number (mtDNA-CN), as well as the expression profile of telomere maintenance genes TERF1, TERF2, POT1 and microRNAs miR-155, miR-23a and miR-185. Western blotting analysis was performed to detect consequent protein levels of TERF1, TERF2 and POT1. Our results evidenced significantly lower relative TL and mtDNA-CN and a down-regulation pattern for all three described genes and corresponding proteins in the CCs of smokers compared with controls (p 〈 0.05). No significant differences were found in the miRNAs’ modulation. Combined, our data add another piece to the puzzle of the complex regulatory molecular networks controlling the general effects of tobacco smoke in CCs. This pilot study extends the until now modest number of studies simultaneously investigating the mtDNA-CN and TL pathways in the human CCs of smoking women.
    Type of Medium: Online Resource
    ISSN: 2076-3921
    URL: Article
    DOI: 10.3390/antiox11091841
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2704216-9
    SSG: 15,3
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  • 5
    Online Resource
    Online Resource
    Gender fluidity across the world: a Multilevel Item Response Theory approach
    Springer Science and Business Media LLC ; 2014
    In:  Quality & Quantity Vol. 48, No. 5 ( 2014-9), p. 2553-2568
    Details
    In: Quality & Quantity, Springer Science and Business Media LLC, Vol. 48, No. 5 ( 2014-9), p. 2553-2568
    Type of Medium: Online Resource
    ISSN: 0033-5177 , 1573-7845
    URL: Article
    DOI: 10.1007/s11135-013-9907-4
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2014
    detail.hit.zdb_id: 2003280-8
    SSG: 3,4
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  • 6
    Online Resource
    Online Resource
    Quantile regression and Bayesian cluster detection to identify radon prone areas
    Elsevier BV ; 2016
    In:  Journal of Environmental Radioactivity Vol. 164 ( 2016-11), p. 354-364
    Details
    In: Journal of Environmental Radioactivity, Elsevier BV, Vol. 164 ( 2016-11), p. 354-364
    Type of Medium: Online Resource
    ISSN: 0265-931X
    URL: Article
    DOI: 10.1016/j.jenvrad.2016.06.014
    RVK:
    XA 10000
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2016
    detail.hit.zdb_id: 1483112-0
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  • 7
    Online Resource
    Online Resource
    A modelling methodology for the analysis of radon potential based on environmental geology and geographically weighted regression
    Elsevier BV ; 2014
    In:  Environmental Modelling & Software Vol. 54 ( 2014-04), p. 165-181
    Details
    In: Environmental Modelling & Software, Elsevier BV, Vol. 54 ( 2014-04), p. 165-181
    Type of Medium: Online Resource
    ISSN: 1364-8152
    URL: Article
    DOI: 10.1016/j.envsoft.2014.01.006
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2014
    detail.hit.zdb_id: 2027304-6
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  • 8
    Online Resource
    Online Resource
    Aging and the Combined effects of ADRA2B and CB1 deletions on Affective Working Memory
    Springer Science and Business Media LLC ; 2019
    In:  Scientific Reports Vol. 9, No. 1 ( 2019-03-11)
    Details
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 9, No. 1 ( 2019-03-11)
    Abstract: Many studies have found that memory for affective material is better than memory for neutral information and memory for positive material compared to negative material is better in older adults. Behavioral, neurophysiological as well as single polymorphism differences have been advanced to account for these effects. Here, we aimed to examine whether the combination of two polymorphisms (ADRA2B and CB1) in older adults influences active maintenance and manipulation of emotional information in aging working memory. We examined genotype data from 207 older adults (56 double deletion carriers, 116 single deletion carriers and 35 no deletion carriers) who performed a verbal operation span-like task with positive, negative and neutral words. We found that subjects carrying both ADRA2B and CB1 variants generally remembered a higher number of words. In addition, double carriers showed positivity effects while single carriers showed more general emotional enhancement effects, especially as strings lengthened. These findings are amongst the first to suggest a haplotype account of positivity effects in older adults’ memory.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    URL: Article
    DOI: 10.1038/s41598-019-40108-5
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2019
    detail.hit.zdb_id: 2615211-3
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  • 9
    Online Resource
    Online Resource
    Looking for patterns of change amid pandemic period in students’ evaluation of academic teaching
    Springer Science and Business Media LLC ; 2023
    In:  Quality & Quantity Vol. 57, No. 5 ( 2023-10), p. 4759-4777
    Details
    In: Quality & Quantity, Springer Science and Business Media LLC, Vol. 57, No. 5 ( 2023-10), p. 4759-4777
    Abstract: The COVID-19 pandemic has shaken not only the global economy but every development field, including all levels of the education sector and in every place in the world. The wide spread of this pandemic disaster has undoubtedly changed the education landscape worldwide. Online teaching and learning become the primary instruction method and the global world of schools, colleges and universities were forced to adapt this model. The first concern about online learning is whether this method is effective compared to traditional face-to-face lessons. In this paper, we carried out a quantitative analysis to explore variations in university students’ feedback on learning experience in the context of this new challenging situation caused by the COVID-19 pandemic. By adopting an IRT modeling, we compared the appreciation of some aspects of 41 courses taught at the University of Chieti-Pescara (Italy) during the educational emergency with that of the previous year. Overall, from the results of this study, it is arisen that students have given positive feedbacks on their learning experiences and their effectiveness.
    Type of Medium: Online Resource
    ISSN: 0033-5177 , 1573-7845
    URL: Article
    DOI: 10.1007/s11135-022-01567-7
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2003280-8
    SSG: 3,4
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  • 10
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    Online Resource
    Geographies of Twitter debates : Detect public stances on Brexit at UK parliamentary constituencies’ level
    Springer Science and Business Media LLC ; 2022
    In:  Journal of Computational Social Science Vol. 5, No. 1 ( 2022-05), p. 647-663
    Details
    In: Journal of Computational Social Science, Springer Science and Business Media LLC, Vol. 5, No. 1 ( 2022-05), p. 647-663
    Abstract: Over the last years, the prodigious success of online social media sites has marked a shift in the way people connect and share information. Coincident with this trend is the proliferation of location-aware devices and the consequent emergence of user-generated geospatial data. From a social scientific perspective, these location data are of incredible value as it can be mined to provide researchers with useful information about activities and opinions across time and space. However, the utilization of geo-located data is a challenging task, both in terms of data management and in terms of knowledge production, which requires a holistic approach. In this paper, we implement an integrated knowledge discovery in cyberspace framework for retrieving, processing and interpreting Twitter geolocated data for the discovery and classification of the latent opinion in user-generated debates on the internet. Text mining techniques, supervised machine learning algorithms and a cluster spatial detection technique are the building blocks of our research framework. As real-word example, we focus on Twitter conversations about Brexit, posted on Uk during the 13 months before the Brexit day. The experimental results, based on various analysis of Brexit-related tweets, demonstrate that different spatial patterns can be identified, clearly distinguishing pro- and anti-Brexit enclaves and delineating interesting Brexit geographies.
    Type of Medium: Online Resource
    ISSN: 2432-2717 , 2432-2725
    URL: Article
    DOI: 10.1007/s42001-021-00143-7
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2916161-7
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