{"id":"https://openalex.org/W7131063830","doi":"https://doi.org/10.1109/snams67467.2025.11391134","title":"The Anatomy of Disinformation Networks: A Hybrid Graph-Based Framework for Echo Chamber Detection in the Italian Twitter/X Sphere","display_name":"The Anatomy of Disinformation Networks: A Hybrid Graph-Based Framework for Echo Chamber Detection in the Italian Twitter/X Sphere","publication_year":2025,"publication_date":"2025-11-25","ids":{"openalex":"https://openalex.org/W7131063830","doi":"https://doi.org/10.1109/snams67467.2025.11391134"},"language":"en","primary_location":{"id":"doi:10.1109/snams67467.2025.11391134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snams67467.2025.11391134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 12th International Conference on Social Networks Analysis, Management and Security (SNAMS)","raw_type":"proceedings-article"},"type":"article","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/A5105940138","display_name":"Daniele Pasquini","orcid":null},"institutions":[{"id":"https://openalex.org/I116067653","display_name":"University of Rome Tor Vergata","ror":"https://ror.org/02p77k626","country_code":"IT","type":"education","lineage":["https://openalex.org/I116067653"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Daniele Pasquini","raw_affiliation_strings":["University of Rome &#x201C;Tor Vergata&#x201D;,Department of Enterprise Engineering,Rome,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rome &#x201C;Tor Vergata&#x201D;,Department of Enterprise Engineering,Rome,Italy","institution_ids":["https://openalex.org/I116067653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039580089","display_name":"Paola Vocca","orcid":"https://orcid.org/0000-0002-8018-0309"},"institutions":[{"id":"https://openalex.org/I116067653","display_name":"University of Rome Tor Vergata","ror":"https://ror.org/02p77k626","country_code":"IT","type":"education","lineage":["https://openalex.org/I116067653"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paola Vocca","raw_affiliation_strings":["University of Rome &#x201C;Tor Vergata&#x201D;,Department of Enterprise Engineering,Rome,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rome &#x201C;Tor Vergata&#x201D;,Department of Enterprise Engineering,Rome,Italy","institution_ids":["https://openalex.org/I116067653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048338565","display_name":"Giambattista Amati","orcid":"https://orcid.org/0000-0002-7067-4583"},"institutions":[{"id":"https://openalex.org/I2802782265","display_name":"Fondazione \"Ugo Bordoni\"","ror":"https://ror.org/01kc65v41","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2802782265"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giambattista Amati","raw_affiliation_strings":["Fondazione Ugo Bordoni Rome,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fondazione Ugo Bordoni Rome,Italy","institution_ids":["https://openalex.org/I2802782265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5105940138"],"corresponding_institution_ids":["https://openalex.org/I116067653"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.84049662,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"172","last_page":"179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.21860000491142273,"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"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.21860000491142273,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.15230000019073486,"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":0.0722000002861023,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/disinformation","display_name":"Disinformation","score":0.8202999830245972},{"id":"https://openalex.org/keywords/echo","display_name":"Echo (communications protocol)","score":0.47269999980926514},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.435699999332428},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.3898000121116638},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3871999979019165},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.365200012922287},{"id":"https://openalex.org/keywords/panopticon","display_name":"Panopticon","score":0.3472999930381775},{"id":"https://openalex.org/keywords/community-structure","display_name":"Community structure","score":0.33629998564720154}],"concepts":[{"id":"https://openalex.org/C2776552730","wikidata":"https://www.wikidata.org/wiki/Q189656","display_name":"Disinformation","level":3,"score":0.8202999830245972},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5281000137329102},{"id":"https://openalex.org/C2779426996","wikidata":"https://www.wikidata.org/wiki/Q18389128","display_name":"Echo (communications protocol)","level":2,"score":0.47269999980926514},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.435699999332428},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.3898000121116638},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3871999979019165},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.365200012922287},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36230000853538513},{"id":"https://openalex.org/C138569888","wikidata":"https://www.wikidata.org/wiki/Q828310","display_name":"Panopticon","level":3,"score":0.3472999930381775},{"id":"https://openalex.org/C133079900","wikidata":"https://www.wikidata.org/wiki/Q5155065","display_name":"Community structure","level":2,"score":0.33629998564720154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.322299987077713},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.30799999833106995},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C7797323","wikidata":"https://www.wikidata.org/wiki/Q3798612","display_name":"Pointwise mutual information","level":3,"score":0.2847000062465668},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C126831891","wikidata":"https://www.wikidata.org/wiki/Q221673","display_name":"Host (biology)","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25699999928474426},{"id":"https://openalex.org/C22047676","wikidata":"https://www.wikidata.org/wiki/Q898680","display_name":"Clustering coefficient","level":3,"score":0.2549000084400177},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2502000033855438}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/snams67467.2025.11391134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/snams67467.2025.11391134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 12th International Conference on Social Networks Analysis, Management and Security (SNAMS)","raw_type":"proceedings-article"},{"id":"pmh:oai:art.torvergata.it:2108/456472","is_oa":false,"landing_page_url":"https://hdl.handle.net/2108/456472","pdf_url":null,"source":{"id":"https://openalex.org/S4306400993","display_name":"Cineca Institutional Research Information System (Tor Vergata University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I116067653","host_organization_name":"University of Rome Tor Vergata","host_organization_lineage":["https://openalex.org/I116067653"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W615621364","https://openalex.org/W1505742155","https://openalex.org/W1592690888","https://openalex.org/W1638051351","https://openalex.org/W1814023381","https://openalex.org/W1952452796","https://openalex.org/W2026318959","https://openalex.org/W2033947830","https://openalex.org/W2059837179","https://openalex.org/W2075585362","https://openalex.org/W2101196063","https://openalex.org/W2127048411","https://openalex.org/W2131681506","https://openalex.org/W2137385671","https://openalex.org/W2157305458","https://openalex.org/W2295689417","https://openalex.org/W2493650461","https://openalex.org/W2531023668","https://openalex.org/W2790166049","https://openalex.org/W2797202416","https://openalex.org/W2883462569","https://openalex.org/W2888571776","https://openalex.org/W2890058952","https://openalex.org/W2897249806","https://openalex.org/W2897838581","https://openalex.org/W2999115128","https://openalex.org/W3095149638","https://openalex.org/W3133423348","https://openalex.org/W3188738270","https://openalex.org/W3201996366","https://openalex.org/W3209938370","https://openalex.org/W4235169531","https://openalex.org/W4255772777","https://openalex.org/W4281620562","https://openalex.org/W4312731321","https://openalex.org/W4318311917","https://openalex.org/W4385298751","https://openalex.org/W4385498592","https://openalex.org/W4391791183","https://openalex.org/W4392563408","https://openalex.org/W4404172291"],"related_works":[],"abstract_inverted_index":{"The":[0],"proliferation":[1],"of":[2,7,64,93,119,139,174,184],"disinformation":[3,252],"and":[4,38,66,83,101,121,136,179,191,214,254],"the":[5,47,76,102,110,129,137,162,175,199,204,215,239,248],"emergence":[6],"echo":[8,41,217,244],"chambers":[9,245],"on":[10,198],"social":[11],"media":[12],"pose":[13],"serious":[14],"challenges":[15],"for":[16,149,250],"democratic":[17],"discourse.":[18],"In":[19],"this":[20,145],"paper,":[21],"we":[22,59],"introduce":[23],"a":[24,61,181,194],"hybrid":[25],"computational":[26],"framework":[27,228],"that":[28,109,168,224],"fuses":[29],"network":[30,163],"topology":[31],"with":[32],"usergenerated":[33],"hashtag":[34,67],"semantics":[35],"to":[36,55,134,208],"map":[37],"measure":[39],"candidate":[40],"chamber":[42,218],"structures":[43],"at":[44,242],"scale.":[45],"Using":[46],"full":[48],"Italian":[49],"Twitter":[50,71],"Firehose":[51],"from":[52],"February":[53],"23":[54],"August":[56],"31,":[57],"2022,":[58],"built":[60],"heterogeneous":[62],"graph":[63],"user":[65],"nodes":[68,160],"linked":[69],"by":[70],"interactions.":[72],"We":[73],"then":[74],"ran":[75],"Leiden":[77,196],"algorithm":[78],"over":[79],"ten":[80],"resolution":[81,117],"settings":[82],"evaluated":[84],"community":[85,111,234],"quality":[86],"via":[87],"normalized":[88,124],"mutual":[89,125],"information":[90,94,126,140],"(NMI),":[91],"variation":[92,138],"(VI),":[95],"adjusted":[96,130],"Rand":[97,131],"index":[98,104,132,206],"(ARI),":[99],"coverage,":[100],"external\u2013internal":[103],"(EI).":[105],"Our":[106],"analysis":[107],"reveals":[108],"structure":[112],"is":[113],"remarkably":[114],"stable":[115],"between":[116],"values":[118],"0.5":[120],"0.6,":[122],"where":[123],"approaches":[127],"0.999,":[128],"climbs":[133],"0.89,":[135],"stays":[141],"below":[142],"0.05,":[143],"marking":[144],"interval":[146],"as":[147],"optimal":[148],"coherent,":[150],"semantically":[151],"aligned":[152],"groups.":[153],"Collapsing":[154],"all":[155],"clusters":[156],"smaller":[157],"than":[158,172],"30":[159],"distills":[161],"into":[164],"1000":[165],"robust":[166],"communities":[167,202],"still":[169],"cover":[170],"more":[171],"54%":[173],"total":[176],"edge":[177],"weight":[178],"maintain":[180],"median":[182],"size":[183],"42\u201345":[185],"users":[186],"while":[187],"further":[188],"enhancing":[189],"ARI":[190],"VI.":[192],"Finally,":[193],"second-level":[195],"pass":[197],"top":[200],"500":[201],"drives":[203],"EI":[205],"down":[207],"0.0411,":[209],"indicating":[210],"maximal":[211],"intragroup":[212],"connectivity":[213],"strongest":[216],"effects.":[219],"Together,":[220],"these":[221],"results":[222],"show":[223],"our":[225],"dual":[226],"structural\u2013semantic":[227],"not":[229],"only":[230],"uncovers":[231],"stable,":[232],"multilevel":[233],"hierarchies":[235],"but":[236],"also":[237],"indicates":[238],"precise":[240],"scale":[241],"which":[243],"intensify,":[246],"paving":[247],"way":[249],"real-time":[251],"monitoring":[253],"targeted":[255],"mitigation.":[256]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2026-02-24T00:00:00"}
