{"id":"https://openalex.org/W4393941490","doi":"https://doi.org/10.1140/epjds/s13688-024-00469-y","title":"Unveiling the silent majority: stance detection and characterization of passive users on social media using collaborative filtering and graph convolutional networks","display_name":"Unveiling the silent majority: stance detection and characterization of passive users on social media using collaborative filtering and graph convolutional networks","publication_year":2024,"publication_date":"2024-04-04","ids":{"openalex":"https://openalex.org/W4393941490","doi":"https://doi.org/10.1140/epjds/s13688-024-00469-y"},"language":"en","primary_location":{"id":"doi:10.1140/epjds/s13688-024-00469-y","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-024-00469-y","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-024-00469-y","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-024-00469-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101648727","display_name":"Zhiwei Zhou","orcid":"https://orcid.org/0000-0002-6592-1113"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]},{"id":"https://openalex.org/I4210136150","display_name":"L3S Research Center","ror":"https://ror.org/039t4wk02","country_code":"DE","type":"facility","lineage":["https://openalex.org/I114112103","https://openalex.org/I4210136150","https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Zhiwei Zhou","raw_affiliation_strings":["L3S Research Center, Leibniz Universit\u00e4t Hannover, Appelstra\u00dfe 9A, Hannover, Germany"],"raw_orcid":"https://orcid.org/0000-0002-6592-1113","affiliations":[{"raw_affiliation_string":"L3S Research Center, Leibniz Universit\u00e4t Hannover, Appelstra\u00dfe 9A, Hannover, Germany","institution_ids":["https://openalex.org/I114112103","https://openalex.org/I4210136150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091661935","display_name":"Erick Elejalde","orcid":"https://orcid.org/0000-0002-4755-1606"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]},{"id":"https://openalex.org/I4210136150","display_name":"L3S Research Center","ror":"https://ror.org/039t4wk02","country_code":"DE","type":"facility","lineage":["https://openalex.org/I114112103","https://openalex.org/I4210136150","https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Erick Elejalde","raw_affiliation_strings":["L3S Research Center, Leibniz Universit\u00e4t Hannover, Appelstra\u00dfe 9A, Hannover, Germany"],"raw_orcid":"https://orcid.org/0000-0002-4755-1606","affiliations":[{"raw_affiliation_string":"L3S Research Center, Leibniz Universit\u00e4t Hannover, Appelstra\u00dfe 9A, Hannover, Germany","institution_ids":["https://openalex.org/I114112103","https://openalex.org/I4210136150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091661935","https://openalex.org/A5101648727"],"corresponding_institution_ids":["https://openalex.org/I114112103","https://openalex.org/I4210136150"],"apc_list":{"value":1790,"currency":"USD","value_usd":1790},"apc_paid":{"value":1790,"currency":"USD","value_usd":1790},"fwci":1.5613,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81276013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"13","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9943000078201294,"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/computer-science","display_name":"Computer science","score":0.6414788961410522},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6121138334274292},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5954073071479797},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5001657009124756},{"id":"https://openalex.org/keywords/characterization","display_name":"Characterization (materials science)","score":0.4885050058364868},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32025718688964844},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3072035610675812},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22197264432907104},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12604489922523499}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6414788961410522},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6121138334274292},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5954073071479797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5001657009124756},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.4885050058364868},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32025718688964844},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3072035610675812},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22197264432907104},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12604489922523499},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1140/epjds/s13688-024-00469-y","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-024-00469-y","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-024-00469-y","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:467c7bde21144dc5a652f5dab3735ce1","is_oa":false,"landing_page_url":"https://doaj.org/article/467c7bde21144dc5a652f5dab3735ce1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EPJ Data Science, Vol 13, Iss 1, Pp 1-31 (2024)","raw_type":"article"},{"id":"pmh:oai:repo.uni-hannover.de:123456789/18190","is_oa":true,"landing_page_url":"https://repo.uni-hannover.de/handle/123456789/18190","pdf_url":null,"source":{"id":"https://openalex.org/S4306401575","display_name":"Institutional Repository of Leibniz Universit\u00e4t Hannover (Leibniz Universit\u00e4t Hannover)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114112103","host_organization_name":"Leibniz University Hannover","host_organization_lineage":["https://openalex.org/I114112103"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EPJ Data Science","raw_type":"doc-type:Article"}],"best_oa_location":{"id":"doi:10.1140/epjds/s13688-024-00469-y","is_oa":true,"landing_page_url":"https://doi.org/10.1140/epjds/s13688-024-00469-y","pdf_url":"https://epjdatascience.springeropen.com/counter/pdf/10.1140/epjds/s13688-024-00469-y","source":{"id":"https://openalex.org/S2504380752","display_name":"EPJ Data Science","issn_l":"2193-1127","issn":["2193-1127"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPJ Data Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G4677242420","display_name":null,"funder_award_id":"101021866","funder_id":"https://openalex.org/F4320335254","funder_display_name":"Horizon 2020"}],"funders":[{"id":"https://openalex.org/F4320322379","display_name":"Gottfried Wilhelm Leibniz Universit\u00e4t Hannover","ror":"https://ror.org/0304hq317"},{"id":"https://openalex.org/F4320335254","display_name":"Horizon 2020","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393941490.pdf","grobid_xml":"https://content.openalex.org/works/W4393941490.grobid-xml"},"referenced_works_count":60,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W1607035479","https://openalex.org/W1837843568","https://openalex.org/W1997421210","https://openalex.org/W2012921801","https://openalex.org/W2053401309","https://openalex.org/W2054141820","https://openalex.org/W2095247581","https://openalex.org/W2095293504","https://openalex.org/W2097001057","https://openalex.org/W2117410972","https://openalex.org/W2118677368","https://openalex.org/W2119043258","https://openalex.org/W2130354913","https://openalex.org/W2143570397","https://openalex.org/W2151378814","https://openalex.org/W2221728952","https://openalex.org/W2250747954","https://openalex.org/W2298731090","https://openalex.org/W2406537964","https://openalex.org/W2493916176","https://openalex.org/W2531153731","https://openalex.org/W2605350416","https://openalex.org/W2744190418","https://openalex.org/W2793539342","https://openalex.org/W2804246899","https://openalex.org/W2807211430","https://openalex.org/W2905925340","https://openalex.org/W2913149917","https://openalex.org/W2914721378","https://openalex.org/W2928691905","https://openalex.org/W2946707148","https://openalex.org/W2968073071","https://openalex.org/W3021743785","https://openalex.org/W3027032932","https://openalex.org/W3033693036","https://openalex.org/W3045200674","https://openalex.org/W3088777230","https://openalex.org/W3093371779","https://openalex.org/W3100650129","https://openalex.org/W3101955838","https://openalex.org/W3102042889","https://openalex.org/W3102647957","https://openalex.org/W3125182500","https://openalex.org/W3131393612","https://openalex.org/W3140514123","https://openalex.org/W3168867901","https://openalex.org/W3172960769","https://openalex.org/W3183638647","https://openalex.org/W3200172637","https://openalex.org/W4224295605","https://openalex.org/W4226381434","https://openalex.org/W4283797348","https://openalex.org/W4285109407","https://openalex.org/W4291178448","https://openalex.org/W4292767238","https://openalex.org/W4300359982","https://openalex.org/W4361230503","https://openalex.org/W4367047333","https://openalex.org/W4385574166"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3107994849","https://openalex.org/W4247143848","https://openalex.org/W2009883749","https://openalex.org/W2735573198","https://openalex.org/W29442446","https://openalex.org/W330727063","https://openalex.org/W2896904446","https://openalex.org/W1483407203","https://openalex.org/W4206825956"],"abstract_inverted_index":{"Abstract":[0],"Social":[1],"Media":[2],"(SM)":[3],"has":[4],"become":[5],"a":[6,76,128,228],"popular":[7],"medium":[8],"for":[9,62,101,131],"individuals":[10],"to":[11,40,43,53,58,110,116,157,184],"share":[12],"their":[13,36],"opinions":[14],"on":[15,71,114,137,234],"various":[16],"topics,":[17],"including":[18],"politics,":[19],"social":[20,120,232],"issues,":[21],"and":[22,38,55,74,118,126,140,150,163,191,211,226],"daily":[23],"affairs.":[24],"During":[25],"controversial":[26],"events":[27],"such":[28],"as":[29],"political":[30,176],"elections,":[31],"active":[32],"users":[33,82,149,159],"often":[34],"proclaim":[35],"stance":[37,134],"try":[39],"persuade":[41],"others":[42],"support":[44,61,225],"them.":[45],"However,":[46],"disparities":[47],"in":[48,189,221],"participation":[49],"levels":[50],"can":[51,90],"lead":[52],"misperceptions":[54],"cause":[56],"analysts":[57],"misjudge":[59],"the":[60,93,102,185,203,209,212,224],"each":[63],"side.":[64],"For":[65],"example,":[66],"current":[67],"models":[68],"usually":[69],"rely":[70],"content":[72],"production":[73],"overlook":[75],"vast":[77],"majority":[78,107],"of":[79,104,231],"civically":[80],"engaged":[81],"who":[83],"passively":[84],"consume":[85],"information.":[86],"These":[87],"\u201csilent":[88],"users\u201d":[89],"significantly":[91],"impact":[92],"democratic":[94],"process":[95],"despite":[96],"being":[97],"less":[98],"vocal.":[99],"Accounting":[100],"stances":[103,162],"this":[105,123],"silent":[106,132],"is":[108],"critical":[109],"improving":[111],"our":[112,153,200,216],"reliance":[113],"SM":[115,235],"understand":[117],"measure":[119],"phenomena.":[121],"Thus,":[122,215],"study":[124],"proposes":[125],"evaluates":[127],"new":[129],"approach":[130],"users\u2019":[133],"prediction":[135],"based":[136],"collaborative":[138],"filtering":[139],"Graph":[141],"Convolutional":[142],"Networks,":[143],"which":[144],"exploits":[145],"multiple":[146],"relationships":[147],"between":[148],"topics.":[151],"Furthermore,":[152],"method":[154,217],"allows":[155],"us":[156],"describe":[158],"with":[160],"different":[161],"online":[164],"behaviors.":[165],"We":[166],"demonstrate":[167],"its":[168],"validity":[169],"using":[170],"real-world":[171],"datasets":[172],"from":[173],"two":[174],"related":[175],"events.":[177,240],"Specifically,":[178],"we":[179],"examine":[180],"user":[181,213],"attitudes":[182],"leading":[183],"Chilean":[186],"constitutional":[187],"referendums":[188],"2020":[190],"2022":[192],"through":[193],"extensive":[194],"Twitter":[195],"datasets.":[196],"In":[197],"both":[198],"datasets,":[199],"model":[201],"outperforms":[202],"baselines":[204],"by":[205],"over":[206],"9%":[207],"at":[208],"edge-":[210],"level.":[214],"offers":[218],"an":[219],"improvement":[220],"effectively":[222],"quantifying":[223],"creating":[227],"multidimensional":[229],"understanding":[230],"discussions":[233],"platforms,":[236],"especially":[237],"during":[238],"polarizing":[239]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}