{"id":"https://openalex.org/W2898259468","doi":"https://doi.org/10.1109/asonam.2018.8508243","title":"Revealing Political Sentiment with Twitter: The Case Study of the 2016 Italian Constitutional Referendum","display_name":"Revealing Political Sentiment with Twitter: The Case Study of the 2016 Italian Constitutional Referendum","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2898259468","doi":"https://doi.org/10.1109/asonam.2018.8508243","mag":"2898259468"},"language":"en","primary_location":{"id":"doi:10.1109/asonam.2018.8508243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104066739","display_name":"Marco Campanale","orcid":null},"institutions":[{"id":"https://openalex.org/I71353707","display_name":"Enel (Italy)","ror":"https://ror.org/052fdp564","country_code":"IT","type":"company","lineage":["https://openalex.org/I71353707"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Campanale","raw_affiliation_strings":["Enel Italia S.R.L., Rome, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Enel Italia S.R.L., Rome, Italy","institution_ids":["https://openalex.org/I71353707"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024441646","display_name":"Enrico G. Caldarola","orcid":"https://orcid.org/0000-0002-3813-1896"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Enrico G. Caldarola","raw_affiliation_strings":["National Research Council, Institute of Intelligent Systems and Industrial Technologies for Advanced Manufacturing, Bari, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research Council, Institute of Intelligent Systems and Industrial Technologies for Advanced Manufacturing, Bari, Italy","institution_ids":["https://openalex.org/I4210155236"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7923,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78268941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"861","last_page":"868"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9785000085830688,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9771999716758728,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/referendum","display_name":"Referendum","score":0.8961455225944519},{"id":"https://openalex.org/keywords/biology-and-political-orientation","display_name":"Biology and political orientation","score":0.7486275434494019},{"id":"https://openalex.org/keywords/deliberation","display_name":"Deliberation","score":0.7087876796722412},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.651751697063446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6409075856208801},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5779625177383423},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5133597254753113},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.45741599798202515},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.44879215955734253},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4253280758857727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3758181035518646},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.15067914128303528},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.07580411434173584}],"concepts":[{"id":"https://openalex.org/C2781462389","wikidata":"https://www.wikidata.org/wiki/Q43109","display_name":"Referendum","level":3,"score":0.8961455225944519},{"id":"https://openalex.org/C193521449","wikidata":"https://www.wikidata.org/wiki/Q4915057","display_name":"Biology and political orientation","level":3,"score":0.7486275434494019},{"id":"https://openalex.org/C2776946740","wikidata":"https://www.wikidata.org/wiki/Q358652","display_name":"Deliberation","level":3,"score":0.7087876796722412},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.651751697063446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6409075856208801},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5779625177383423},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5133597254753113},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.45741599798202515},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.44879215955734253},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4253280758857727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3758181035518646},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.15067914128303528},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.07580411434173584},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asonam.2018.8508243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asonam.2018.8508243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W40549020","https://openalex.org/W65754723","https://openalex.org/W68301490","https://openalex.org/W105055686","https://openalex.org/W137217113","https://openalex.org/W202178741","https://openalex.org/W1562615108","https://openalex.org/W1590495275","https://openalex.org/W1743243001","https://openalex.org/W2015525779","https://openalex.org/W2095776265","https://openalex.org/W2097726431","https://openalex.org/W2106616471","https://openalex.org/W2106934621","https://openalex.org/W2108775494","https://openalex.org/W2116646433","https://openalex.org/W2120400822","https://openalex.org/W2122369144","https://openalex.org/W2126581182","https://openalex.org/W2137981452","https://openalex.org/W2154321364","https://openalex.org/W2163179583","https://openalex.org/W2165571577","https://openalex.org/W2166706824","https://openalex.org/W2267835966","https://openalex.org/W2295606413","https://openalex.org/W2487770199","https://openalex.org/W2536326527","https://openalex.org/W2540795244","https://openalex.org/W2552087556","https://openalex.org/W2562524819","https://openalex.org/W2740118881","https://openalex.org/W2749516316","https://openalex.org/W2770706016","https://openalex.org/W2885935106","https://openalex.org/W2949998441","https://openalex.org/W2962893256","https://openalex.org/W3124180615","https://openalex.org/W3146306708","https://openalex.org/W4205184193","https://openalex.org/W4297687394","https://openalex.org/W6601618085","https://openalex.org/W6602666111","https://openalex.org/W6604301158","https://openalex.org/W6605553331","https://openalex.org/W6608114916","https://openalex.org/W6633615269","https://openalex.org/W6637805623","https://openalex.org/W6674545261","https://openalex.org/W6678923525","https://openalex.org/W6684191474","https://openalex.org/W6693772185","https://openalex.org/W6742179883","https://openalex.org/W6743870963","https://openalex.org/W6764146914"],"related_works":["https://openalex.org/W2559759988","https://openalex.org/W2081886995","https://openalex.org/W1489883416","https://openalex.org/W2939243630","https://openalex.org/W2153627975","https://openalex.org/W4246380667","https://openalex.org/W4214849266","https://openalex.org/W2041788478","https://openalex.org/W2998364194","https://openalex.org/W3181226945"],"abstract_inverted_index":{"In":[0],"this":[1,126,172],"work":[2],"we":[3,55,93],"argue":[4],"about":[5],"the":[6,17,31,39,42,65,86,96,100,104,108,116,122,156],"use":[7],"of":[8,20,34,41],"Twitter":[9,36,75],"as":[10,58],"a":[11,35,90],"Palantir":[12],"for":[13,79,176],"predicting":[14],"and":[15,50,82,107,125,151,166],"revealing":[16,30],"political":[18,32,80,91],"orientation":[19,33],"users":[21],"in":[22,38,113,121,140],"election":[23,97],"campaigns.":[24],"Specifically,":[25],"our":[26,129,132,160],"study":[27],"aims":[28],"at":[29],"user":[37],"context":[40],"2016":[43],"Italian":[44],"Constitutional":[45],"Referendum.":[46],"After":[47],"having":[48],"collected":[49],"processed":[51],"over":[52],"1,200,000":[53],"tweets,":[54],"classified":[56],"them":[57],"YES-oriented,":[59],"NO-oriented":[60],"or":[61],"UNCERTAIN,":[62],"by":[63,84,103,119,159],"exploiting":[64],"Naive":[66],"Bayes":[67],"Multinomial":[68],"Text":[69],"classification":[70,161],"algorithm.":[71],"We":[72],"found":[73],"that":[74],"is":[76,143],"used":[77,102,118],"massively":[78],"deliberation":[81],"just":[83],"counting":[85],"messages":[87],"related":[88],"to":[89,137,145,169],"party":[92,106,110],"can":[94,134],"reveal":[95],"result.":[98],"Moreover,":[99],"words":[101],"YES":[105],"NO":[109],"twits":[111],"are":[112,163],"line":[114],"with":[115],"language":[117],"politicians":[120],"real":[123],"word":[124],"strongly":[127],"supports":[128],"analysis.":[130],"Furthermore,":[131],"approach":[133],"be":[135],"applied":[136],"different":[138],"scenarios,":[139],"which":[141],"it":[142],"necessary":[144],"distinguish":[146],"between":[147],"two":[148],"main":[149],"classes":[150],"another":[152],"UNCERTAIN":[153],"class.":[154],"Finally,":[155],"results":[157],"obtained":[158],"methodology":[162],"very":[164],"promising":[165],"encourage":[167],"us":[168],"continue":[170],"investigating":[171],"topic,":[173],"deriving":[174],"suggestions":[175],"further":[177],"research.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}