?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Feprints.imtlucca.it%2F3519%2F&rft.title=Tweet-tales%3A+moods+of+socio-economic+crisis%3F&rft.creator=Biorci%2C+Grazia&rft.creator=Emina%2C+Antonella&rft.creator=Puliga%2C+Michelangelo&rft.creator=Sella%2C+Lisa&rft.creator=Vivaldo%2C+Gianna&rft.subject=HB+Economic+Theory&rft.subject=HM+Sociology&rft.description=The+widespread+adoption+of+highly+interactive+social+media+like+Twitter%2C+Facebook+and+other+platforms+allow+users+to+communicate+moods+and+opinions+to+their+social+network.+Those+platforms+represent+an+unprecedented+source+of+information+about+human+habits+and+socio-economic+interactions.+Several+new+studies+have+started+to+exploit+the+potential+of+these+big+data+as+fingerprints+of+economic+and+social+interactions.%0D%0AThe+present+analysis+aims+at+exploring+the+informative+power+of+indicators+derived+from+social+media+activity%2C+with+the+aim+to+trace+some+preliminary+guidelines+to+investigate+the+eventual+correspondence+between+social+media+indices+and+available+labour+market+indicators+at+a+territorial+level.+The+study+is+based+on+a+large+dataset+of+about+4+million+Italian-language+tweets+collected+from+October+2014+to+December+2015%2C+filtered+by+a+set+of+specific+keywords+related+to+the+labour+market.+With+techniques+from+machine+learning+and+user%E2%80%99s+geolocalization%2C+we+were+able+to+subset+the+tweets+on+specific+topics+in+all+Italian+provinces.+The+corpus+of+tweets+is+then+analyzed+with+linguistic+tools+and+hierarchical+clustering+analysis.+A+comparison+with+traditional+economic+indicators+suggests+a+strong+need+for+further+cleaning+procedures%2C+which+are+then+developed+in+detail.+As+data+from+social+networks+are+easy+to+obtain%2C+this+represents+a+very+first+attempt+to+evaluate+their+informative+power+in+the+Italian+context%2C+which+is+of+potentially+high+importance+in+economic+and+social+research.&rft.publisher=IMT+School+for+Advanced+Studies+Lucca&rft.date=2016-07&rft.type=Working+Paper&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.language=en&rft.rights=cc_by_nd&rft.identifier=http%3A%2F%2Feprints.imtlucca.it%2F3519%2F1%2FEIC_WP_4_2016.pdf&rft.identifier=++Biorci%2C+Grazia+and+Emina%2C+Antonella+and+Puliga%2C+Michelangelo+and+Sella%2C+Lisa+and+Vivaldo%2C+Gianna++Tweet-tales%3A+moods+of+socio-economic+crisis%3F++EIC+working+paper+series++%234%2F2016++++IMT+School+for+Advanced+Studies+Lucca++++ISSN+2279-6894.++++++