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Abstract

In this chapter, I conduct a semantic analysis of the 10-year evolution of the discussion around the guaranteed minimum income and compare the adoption of concepts by users and by the leadership of the Five Star Movement and estimate the policy impact of the online conversation. I describe a natural language processing method to compare a large corpus of texts to a selection of key concepts and to understand their reciprocal relations by placing them in a concept space.

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Notes

  1. 1.

    According to the last survey conducted, among contributors to the Italian Wikipedia, 86% are male, 49% have a university degree (Wikimedia, 2012).

  2. 2.

    More specifically I downloaded the following database backup dumps from dumps.wikimedia.org/backup-index.html: itwiki-20160203-pages-articles.xml, itwiki-20160203-pagelinks.sql, itwiki-20160203-categorylinks.sql and itwiki-20160203-langlinks.sql.

  3. 3.

    The term-document matrix was computed with the function TermDocumentMatrix(corpus, control = list(weighting = function(x) weightTfIdf(x, normalize = TRUE))) from the R package tm (Feinerer, Hornik, & Meyer, 2008).

  4. 4.

    During a Senate hearing to provide an opinion on the M5S bill, ISTAT also pointed to the inexactness of the terminology adopted by the M5S in labelling its policy, which is “denominated citizen’s income, but in this case amounts to a selective measure, limiting payments of benefits to households with an income below a determined threshold” (Alleva, 2015, p. 6).

  5. 5.

    Taking into account that in practice the GMI was recurrently—although improperly—referred to as citizen’s income by news media and political movements, I searched the corpora of news media and political texts for both phrases. I refer here to GMI, independently from the proponents’ own denomination, if the proposed benefit is conditional on the actual income of the recipient.

  6. 6.

    Documents were obtained querying the online databases of the two chambers (Camera dei Deputati, 2016; Senato della Repubblica, 2016) with the regular expression filters reddito (minimo)?di cittadinanza and (reddito minimo garantito).

  7. 7.

    In the case of the Senate only bills were collected because it was not possible to link acts to MPs in the Senate’s archive.

  8. 8.

    The archive of la Repubblica also returns results for articles that appeared in the local sections of the newspaper.

  9. 9.

    In the biographical page of his blog, Domenico De Simone openly distances himself from academia. He wrote that his views “are strongly opposed by the academic establishment” (de Simone, n.d.).

  10. 10.

    Formally for vectors \( \overrightarrow{V}\left({d}_1\right) \) and \( \overrightarrow{V}\left({d}_1\right) \) of documents d1 and d2 we compute the cosine similarity wth the formula \( sim\left({d}_1,{d}_2\right)=\frac{\overrightarrow{V}\left({d}_1\right)\bullet \overrightarrow{V}\left({d}_1\right)}{\mid \overrightarrow{V}\left({d}_1\right)\Big\Vert \overrightarrow{V}\left({d}_2\right)\mid } \).

  11. 11.

    Again, the weight of a concept category is computed by averaging all the concepts of the category.

  12. 12.

    In the third paragraph of the introductory part of the bill, the M5S lawmakers wrote: “It is necessary to act now to change course and focus political action on the welfare of the citizens, first recognising basic rights: the opportunity and capabilities needed to live a decent life, the right to work, education, information and culture.”

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Correspondence to Francesco Bailo .

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Bailo, F. (2020). The M5S Community and Citizen’s Income. In: Online Communities and Crowds in the Rise of the Five Star Movement. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-45508-8_6

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