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    <title>DSpace Collection: Between Infodemic and Pandemic: On-line Researches in the Time of COVID-19</title>
    <link>http://elea.unisa.it/xmlui/handle/10556/7211</link>
    <description>Between Infodemic and Pandemic: On-line Researches in the Time of COVID-19</description>
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        <rdf:li rdf:resource="http://elea.unisa.it/xmlui/handle/10556/7159" />
        <rdf:li rdf:resource="http://elea.unisa.it/xmlui/handle/10556/7158" />
        <rdf:li rdf:resource="http://elea.unisa.it/xmlui/handle/10556/7157" />
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    <dc:date>2026-04-24T11:27:55Z</dc:date>
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  <item rdf:about="http://elea.unisa.it/xmlui/handle/10556/7159">
    <title>Social and Individual Processes at the Time of the COVID-19 Crisis</title>
    <link>http://elea.unisa.it/xmlui/handle/10556/7159</link>
    <description>Title: Social and Individual Processes at the Time of the COVID-19 Crisis
Authors: Maiello, Giuseppe
Abstract: The  author  presents  eight  studies  carried  out  during  the  global  pandemic  of  coronavirus  disease  2019  (COVID-19)  and  focuses  on  different  methodological  issues  to  be  addressed  within the Digital Society and netnographic research. The studies are reported in a common context  ranging  from  the  individual  experiences  of  researchers  to  the  receipt  of  political  propaganda in mass society through social media</description>
    <dc:date>2021-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://elea.unisa.it/xmlui/handle/10556/7158">
    <title>Social Sciences Research Methods Regarding COVID-19 Pandemic. A PRISMA Systematic Review</title>
    <link>http://elea.unisa.it/xmlui/handle/10556/7158</link>
    <description>Title: Social Sciences Research Methods Regarding COVID-19 Pandemic. A PRISMA Systematic Review
Authors: De Falco, Ciro Clemente; Romeo, Emilia
Abstract: In the digital society, the traditional methods of social research for the study of so-ciety  have  been  accompanied  by  innovative  methodological  proposals:  digital  and  digitized  methods  ,  which  are  now  applied  to  many  themes.  In  2020  the  most  de-bated topic was certainly the one concerning the Covid-19 pandemic; a “total social fact” of which not only the medical aspects have been analyzed, a substantial scien-tific production, indeed, has concerned the impacts that the pandemic itself and the measures that governments have taken to resist it has had on society. Starting from these considerations, the aim of this work is to offer an overview of the topics ana-lyzed and the research methods used to investigate this disruptive event in academ-ic research concerning the social sciences - and in particular that which focused on the  Italian  case  - during  the  last  year.  To  map  the  state  of  the  art,  consolidate  the  heterogeneous  corpus  of  knowledge,  and  investigate  the  different  methodological  approaches  used  (tradition/digital/digitized)  a  methodological  approach  was  ap-plied  based  on  a  systematic  review  of  the  literature  conducted  with  the  PRISMA  method and carried out with a third type content analysis</description>
    <dc:date>2021-01-01T00:00:00Z</dc:date>
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  <item rdf:about="http://elea.unisa.it/xmlui/handle/10556/7157">
    <title>Digital Methods to Study (and Reduce) the Impact of Disinformation</title>
    <link>http://elea.unisa.it/xmlui/handle/10556/7157</link>
    <description>Title: Digital Methods to Study (and Reduce) the Impact of Disinformation
Authors: Di Lisio, Miriam; Trezza, Domenico
Abstract: Social  media  have  democratized  communication  but  have  led  to  the  explosion  of  the  so-called "fake news" phenomenon. This problem has visible implications on global security, both  political  (e.g.the  QANON  case)  and health  ( anti-Covid  vaccination and No-Vax  fake news). Models that detect the problem in real time and on large amounts of data are needed. Digital  methods  and    text  classification  procedures  are  able  to  do  this  through  predictive  approaches to   identify a suspect message or author. This paper aims to apply a supervised model  to  the  study  of  fake  news  on  the  Twittersphere  to  highlight  its  potential  and  preliminary  limitations.  The  case  study  is  the  infodemic  generated  on  social  media  during  the  first  phase  of  the  COVID-19  emergency.  The  application  of  the  supervised  model  involved  the  use  of  a  training  and  testing  dataset.  The  different  preliminary  steps  to  build  the training dataset are also shown, highlighting, with a critical approach, the challenges of working with supervised algorithms. Two aspects emerge. The first is that it   is important to block  the  sources  of  bad  information,  before  the    information  itself.  The  second  is    that  algorithms could be sources of bias. Social media companies need to be very careful about relying on automated classification.</description>
    <dc:date>2021-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://elea.unisa.it/xmlui/handle/10556/7156">
    <title>Diaries from Isolation. Digital Testimonials' Analysis During COVID-19 Emergency</title>
    <link>http://elea.unisa.it/xmlui/handle/10556/7156</link>
    <description>Title: Diaries from Isolation. Digital Testimonials' Analysis During COVID-19 Emergency
Authors: Palmieri, Federica; Parola, Jessica; Sallusto Palmiero, Marco; Tofani, Roberta
Abstract: The research investigates the social effects of the atypical domestic containment situation during  the  Covid-19  emergency  in  Italy. The  survey,  which  is  placed  in  a phenomenological perspective, shows how individuals and the community have been able to develop an adaptation or resilience process to the lockdown in order to conform their life to the “new ordinary”, making it real and purposeful. The research process, which was entirely  conducted  digitally  through  specific  software  for  qualitative  analysis,  has developed  dynamically, following  the  Grounded  Theory  approach. Facebook  posts  and Instagram  audio  tracks  combined  with  newspaper  articles  represent  the  cases  of  the research.  While  on  one  hand,  digitality  has  allowed  an  individual  the  perception  of normality by feeling part of a community, on the other it has revealed various forms of digital  divide,  characterized  by  different  levels  of  literacy  at  school,  at  work  and domestically. The social disadvantage does not exclusively concern the digital world but rather on the lockdown that has heightened the systematic exclusion of the most fragile sections of the population.</description>
    <dc:date>2021-01-01T00:00:00Z</dc:date>
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