
Andrea SciandraUniversity of Padua | UNIPD · Department of Philosophy, Sociology, Education and Applied Psychology FISPPA
Andrea Sciandra
Doctor of Philosophy
About
34
Publications
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225
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Introduction
Social Research Methodology: Statistical Learning for Social Sciences, Text Mining & Opinion Analysis, Large Language Models, Authorship Attribution, Topic Modeling, Social Network Analysis, Stance Detection, Structural Equations Modeling.
Sociology: Internet Skills, Social Inclusion, Social Capital, Civil Culture
Publications
Publications (34)
In 2015, the United Nation General Assembly adopted the 2030 Agenda for Sustainable Development and its 17 Sustainable Development Goals aiming at ending all forms of poverty, fighting inequalities, and tackling climate change. We collected Twitter data about the 2030 Agenda from May 9th to November 9th, 2018. The aim of this work is to obtain a cl...
The SARS-CoV-2 pandemic has emerged as one of the most dramatic health crises of recent decades. This paper treats mainstream news about the current pandemic as a valuable entry point for analyzing the relationship between science and politics in the public sphere, where the outbreak must be both understood and confronted through appropriate public...
The article aims to understand the process through which scientific experts gain and maintain remarkable media visibility. It has been analysed a corpus of 213,875 articles published by the eight most important Italian newspapers across the Covid-19 pandemic in 2020 and 2021. By exploring this process along the different phases of the management of...
This article addresses the issue of science to contribute to the ongoing theoretical-methodological debate in the Social Representations Theory (SRT). It investigates the idea that attitudes are integral to social representations (SRs) and proposes solutions for empirically examining this nested relationship, expanding the technique of free associa...
This study compares and contrasts the results of two lexical-based methods aimed at identifying content temporal trends in diachronic text corpora. A corpus of end-of-year addresses of the presidents of the Italian Republic constitutes a relevant case of political speech useful to understand how the temporal evolution of topics can be represented a...
This study examines Italian-language content on the social media platform Mastodon, employing some typical tools for textual analysis. A set of posts (known as ‘toots’ on Mastodon) related to the hashtag #intelligenzaartificiale from the past two years were collected. Co-occurrence networks between hashtags and cross-author referrals within the sam...
This study analyses Evaluation Summary Reports (ESRs) of Marie Skłodowska-Curie Actions (MSCA) Individual and Postdoctoral Fellowships proposals at the University of Padua (Unipd), spanning Horizon 2020 and Horizon Europe from 2015 to 2022. The aim is to identify recurring strengths and weaknesses in the evaluation process,
recognizing the most imp...
Media monitoring is one of the activities carried out in the research field of Public Communication of Science and Technology (PCST). This interdisciplinary research field investigates how science and technology can affect contemporary society and how society can affect science and technology. Monitoring the media discourse can be beneficial to und...
With reference to a large corpus of 76 Italian contemporary popular mystery novels by 16 different authors, this study aims to assess the performance of large language models in an authorship attribution test. The results obtained through both transformers and correspondence analysis vector representations are compared and contrast in machine learn...
This paper focuses on the relationship between financial analysts’ recommendations and press sentiment from the perspective of the attention-grabbing theory. Specifically, attention-grabbing should not be enough to explain the effect that media coverage has on investment decisions, since investors are wary of making a mistake and anticipate the reg...
The aim of this paper is to study the role of citation network measures in the assessment of scientific maturity. Referring to the case of the Italian national scientific qualification (ASN), we investigate if there is a relationship between citation network indices and the results of the researchers’ evaluation procedures. In particular, we want t...
This work concerns the processing of a corpus made up of a financial weekly column. Specifically, we focused on document-level index extraction and textual feature extraction. Moreover, some feature extraction methods had been compared to evaluate their predictive capacity. Results confirm the hypothesis that vectors derived from word embedding do...
The idea behind this work stems from the participation in some shared tasks concerning stance detection in Nlp conferences. In these competitions, participants tried to develop the best stance prediction system for 'favor', 'against', and 'none' categories on selected topics, according to messages and relationships among users of a social networkin...
This article concerns an example of statistical analysis of a large diachronic corpus, including 100 works of Italian fiction, with the aim of recognizing prototypical trends in words frequencies and identifying clusters of words that share similar temporal patterns. Starting from the insights of literary scholars, this study tries to test the hypo...
The low propensity of social workers operating in community service to use the results of scientific studies in their daily work, as well as actively participating in social research, is a criticism of the profession detected in different realities European and international. To respond to this issue, fruitful collaborations between professionals a...
In this paper we describe the participation of the WordUp! team in the VaxxStance shared task at IberLEF 2021. The goal of the competition is to determine the author's stance from tweets written both in Spanish and Basque on the topic of the Antivaxxers movement. Our approach, in the four different tracks proposed, combines the Logistic Regression...
In line with the attention grabbing theory, the publication of articles dealing with the profile of single listed companies along with financial analysts' recommendations is followed by significant increases when the recommendation is positive. In this paper, we tried to understand what happens when analysts' recommendations are missing. We estimat...
Purpose
This paper focuses on the influence of social, cultural and religious factors on investors' attention. In particular, the authors examined if the attention-grabbing mechanism works on Sundays, that is, if the Italians' Sunday activities and habits lead to a lower attention to second-hand financial news, compared to Saturdays.
Design/method...
This study examined the social representation (SR) of nanotechnologies and its relationships with those of science and technology. It aimed to understand the role of pre-existing and neighbouring forms of shared knowledge in orienting the way laypeople autonomously develop ideas about an unfamiliar issue, and related implications for its perceived...
In this contribution we describe the system (i.e. a statistical model) used to participate in Evalita conference 2020, SardiStance (Tasks A and B) and Haspeede2 (Tasks A and B). We first developed a classifier by extracting features from the texts and the social network of users. Then, we fit the data through an extreme gradient boosting, with cros...
In this paper we aim to analyze the Italian social media communication about COVID-19 through a Twitter dataset collected in two months. The text corpus had been studied in terms of sensitivity to the social changes that are affecting people's lives in this crisis. In addition, the results of a sentiment analysis performed by two lexicons were comp...
The study analyses Mediterranean and Latin American municipalities according to City Prosperity indicators. It focuses on Quality of Life; and on Equity and Social Inclusion, identifying a shift toward a post-materialist perspective.
The focus of this paper is to understand whether the words contained in a
text corpus improves the explained variance of stock returns better than the use of
the polarity of the same texts, obtained through a sentiment analysis using a generic
ontological dictionary. The empirical analysis is based on the content of a weekly
column in the most impo...
Recent studies indicate that Internet skills have a positive impact on academic achievement. This article presents a national study that seeks to validate an Inter-net skills scale that was already tested in other EU countries (the Netherlands and the United Kingdom) to understand the competence level of the population as a whole as well as across...
Background
A secure attachment style could promote more intimacy in romantic relationships, while an insecure attachment style could be correlated with less positive romantic relationships in adulthood. Numerous studies have noted that a secure attachment to parents was correlated with lower levels of aggression, whereas insecure attachments were a...
This study investigated the role of co-parenting alliance in mediating the influence of parents’ trait anxiety on family system maladjustment and parenting stress. A sample of 1606 Italian parents (803 mothers and 803 fathers) of children aged one to 13 years completed measures of trait anxiety (State Trait Anxiety Inventory—Y), co-parenting allian...
The concept of social capital owes much of its success to the work of R. Putnam (1993; 2000), who holds that social capital consists of trust, reciprocity, networks of associations and civic engagement. This view of the concept has been widely criticized, for example by Portes (1998), who highlighted Putnam's circular reasoning through which social...
In this study, we explore the psychometric characteristics of Zimbardo's Stanford Time Perspective Inventory, using a representative sample made up of 1517 Italian adolescents, aged 15-19 years. The results show marked differences with respect to preceding studies conducted in the United States and Italy. In particular, the scale of the present for...
This paper explores various strategies for self-presentation used on Facebook, among a sample of 1330 Italian students aged 14-19 years. Based on two social network site practices, the production of text material and the publication of personal photos, we have constructed a model embracing four types of categories and behaviors. We examined the cat...
This paper shows the results of part of an empirical study which was developed in the sphere of the PACT EU project (Pathways for Carbon Transitions). The performed analysis concerns the social capital of young Europeans in terms of trust, size of personal networks, volunteering activities and usage of social network sites (SNS). The purpose of the...