{"id":"https://openalex.org/W4391137237","doi":"https://doi.org/10.3390/bdcc8020011","title":"AI-Based User Empowerment for Empirical Social Research","display_name":"AI-Based User Empowerment for Empirical Social Research","publication_year":2024,"publication_date":"2024-01-23","ids":{"openalex":"https://openalex.org/W4391137237","doi":"https://doi.org/10.3390/bdcc8020011"},"language":"en","primary_location":{"id":"doi:10.3390/bdcc8020011","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc8020011","pdf_url":"https://www.mdpi.com/2504-2289/8/2/11/pdf?version=1706002938","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-2289/8/2/11/pdf?version=1706002938","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043724230","display_name":"Thoralf Reis","orcid":"https://orcid.org/0000-0003-1100-2645"},"institutions":[{"id":"https://openalex.org/I120691247","display_name":"FernUniversit\u00e4t in Hagen","ror":"https://ror.org/04tkkr536","country_code":"DE","type":"education","lineage":["https://openalex.org/I120691247"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Thoralf Reis","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, University of Hagen, Universit\u00e4tsstrasse 1, D-58097 Hagen, Germany"],"raw_orcid":"https://orcid.org/0000-0003-1100-2645","affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, University of Hagen, Universit\u00e4tsstrasse 1, D-58097 Hagen, Germany","institution_ids":["https://openalex.org/I120691247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102943822","display_name":"Lukas Dumberger","orcid":"https://orcid.org/0009-0004-6829-732X"},"institutions":[{"id":"https://openalex.org/I120691247","display_name":"FernUniversit\u00e4t in Hagen","ror":"https://ror.org/04tkkr536","country_code":"DE","type":"education","lineage":["https://openalex.org/I120691247"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lukas Dumberger","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, University of Hagen, Universit\u00e4tsstrasse 1, D-58097 Hagen, Germany"],"raw_orcid":"https://orcid.org/0009-0004-6829-732X","affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, University of Hagen, Universit\u00e4tsstrasse 1, D-58097 Hagen, Germany","institution_ids":["https://openalex.org/I120691247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052105403","display_name":"Sebastian Bruchhaus","orcid":"https://orcid.org/0000-0002-7783-2636"},"institutions":[{"id":"https://openalex.org/I120691247","display_name":"FernUniversit\u00e4t in Hagen","ror":"https://ror.org/04tkkr536","country_code":"DE","type":"education","lineage":["https://openalex.org/I120691247"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Bruchhaus","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, University of Hagen, Universit\u00e4tsstrasse 1, D-58097 Hagen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-7783-2636","affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, University of Hagen, Universit\u00e4tsstrasse 1, D-58097 Hagen, Germany","institution_ids":["https://openalex.org/I120691247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030927255","display_name":"Thomas Krause","orcid":"https://orcid.org/0000-0003-4912-1703"},"institutions":[{"id":"https://openalex.org/I120691247","display_name":"FernUniversit\u00e4t in Hagen","ror":"https://ror.org/04tkkr536","country_code":"DE","type":"education","lineage":["https://openalex.org/I120691247"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Krause","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, University of Hagen, Universit\u00e4tsstrasse 1, D-58097 Hagen, Germany"],"raw_orcid":"https://orcid.org/0000-0003-4912-1703","affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, University of Hagen, Universit\u00e4tsstrasse 1, D-58097 Hagen, Germany","institution_ids":["https://openalex.org/I120691247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093769669","display_name":"Verena Schreyer","orcid":"https://orcid.org/0009-0005-6859-3185"},"institutions":[{"id":"https://openalex.org/I120691247","display_name":"FernUniversit\u00e4t in Hagen","ror":"https://ror.org/04tkkr536","country_code":"DE","type":"education","lineage":["https://openalex.org/I120691247"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Verena Schreyer","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, University of Hagen, Universit\u00e4tsstrasse 1, D-58097 Hagen, Germany"],"raw_orcid":"https://orcid.org/0009-0005-6859-3185","affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, University of Hagen, Universit\u00e4tsstrasse 1, D-58097 Hagen, Germany","institution_ids":["https://openalex.org/I120691247"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009300655","display_name":"Marco X. Bornschlegl","orcid":"https://orcid.org/0000-0003-3789-5285"},"institutions":[{"id":"https://openalex.org/I120691247","display_name":"FernUniversit\u00e4t in Hagen","ror":"https://ror.org/04tkkr536","country_code":"DE","type":"education","lineage":["https://openalex.org/I120691247"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marco X. Bornschlegl","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, University of Hagen, Universit\u00e4tsstrasse 1, D-58097 Hagen, Germany"],"raw_orcid":"https://orcid.org/0000-0003-3789-5285","affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, University of Hagen, Universit\u00e4tsstrasse 1, D-58097 Hagen, Germany","institution_ids":["https://openalex.org/I120691247"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086429143","display_name":"Matthias Hemmje","orcid":"https://orcid.org/0000-0001-8293-2802"},"institutions":[{"id":"https://openalex.org/I120691247","display_name":"FernUniversit\u00e4t in Hagen","ror":"https://ror.org/04tkkr536","country_code":"DE","type":"education","lineage":["https://openalex.org/I120691247"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias L. Hemmje","raw_affiliation_strings":["Faculty of Mathematics and Computer Science, University of Hagen, Universit\u00e4tsstrasse 1, D-58097 Hagen, Germany"],"raw_orcid":"https://orcid.org/0000-0001-8293-2802","affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Computer Science, University of Hagen, Universit\u00e4tsstrasse 1, D-58097 Hagen, Germany","institution_ids":["https://openalex.org/I120691247"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5043724230"],"corresponding_institution_ids":["https://openalex.org/I120691247"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.6623,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71601775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"8","issue":"2","first_page":"11","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9681000113487244,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9681000113487244,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9621999859809875,"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/T11891","display_name":"Big Data and Business Intelligence","score":0.954800009727478,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/empowerment","display_name":"Empowerment","score":0.6527552008628845},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.4666208028793335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4091673195362091},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.40819981694221497},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3786531686782837},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3400116562843323},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.2734912037849426},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1003008782863617},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09756755828857422}],"concepts":[{"id":"https://openalex.org/C20555606","wikidata":"https://www.wikidata.org/wiki/Q868575","display_name":"Empowerment","level":2,"score":0.6527552008628845},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.4666208028793335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4091673195362091},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.40819981694221497},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3786531686782837},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3400116562843323},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.2734912037849426},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1003008782863617},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09756755828857422},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/bdcc8020011","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc8020011","pdf_url":"https://www.mdpi.com/2504-2289/8/2/11/pdf?version=1706002938","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1f9d226cfc694def93c8be2c6f8de066","is_oa":true,"landing_page_url":"https://doaj.org/article/1f9d226cfc694def93c8be2c6f8de066","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing, Vol 8, Iss 2, p 11 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/bdcc8020011","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc8020011","pdf_url":"https://www.mdpi.com/2504-2289/8/2/11/pdf?version=1706002938","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.5099999904632568,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391137237.pdf"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W608574129","https://openalex.org/W1990580455","https://openalex.org/W2100937229","https://openalex.org/W2118020653","https://openalex.org/W2144908498","https://openalex.org/W2486163901","https://openalex.org/W2948646149","https://openalex.org/W3161451991","https://openalex.org/W4290059108","https://openalex.org/W4312226679","https://openalex.org/W4366377796","https://openalex.org/W4367672983","https://openalex.org/W4387359882"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2027796699","https://openalex.org/W3121223325","https://openalex.org/W2931662336","https://openalex.org/W4372061385","https://openalex.org/W4205364320","https://openalex.org/W2077865380","https://openalex.org/W3145001474","https://openalex.org/W3208202043","https://openalex.org/W2134894512"],"abstract_inverted_index":{"Manual":[0],"labeling":[1],"and":[2,11,19,43,48,68,114,124,133,150,176,186,243],"categorization":[3,157],"are":[4,75],"extremely":[5],"time-consuming":[6],"and,":[7],"thus,":[8],"costly.":[9],"AI":[10,47,123,200,218],"ML-supported":[12],"information":[13,90,119,140,245],"systems":[14,120],"can":[15],"bridge":[16],"this":[17,82,130,236],"gap":[18],"support":[20,201,219],"labor-intensive":[21],"digital":[22],"activities.":[23],"Since":[24],"it":[25,166],"requires":[26,248],"categorization,":[27],"coding-based":[28],"analysis,":[29,34],"such":[30],"as":[31,202],"qualitative":[32,102,179],"content":[33,103],"reaches":[35],"its":[36,54],"limits":[37],"with":[38,191],"large":[39],"amounts":[40],"of":[41,73,223],"data":[42,149],"could":[44],"benefit":[45],"from":[46,58],"ML-based":[49],"support.":[50],"Empirical":[51],"social":[52,97,144],"research,":[53],"application":[55],"domain,":[56],"benefits":[57],"Big":[59,117],"Data\u2019s":[60],"ability":[61],"to":[62,80,87,136,209,239],"create":[63],"more":[64,203,207],"extensive":[65],"human":[66],"behavior":[67],"development":[69],"models.":[70],"A":[71],"range":[72],"applications":[74],"available":[76],"for":[77,116,126,173,246],"statistical":[78],"analysis":[79],"serve":[81],"purpose.":[83],"This":[84],"paper":[85],"aims":[86],"implement":[88],"an":[89,138,161],"system":[91,141],"that":[92,110,121,142,170,195,217,235],"supports":[93,143],"researchers":[94,145],"in":[95,99,146],"empirical":[96],"research":[98,215],"performing":[100],"AI-supported":[101],"analysis.":[104],"AI2VIS4BigData":[105],"is":[106,158,237],"a":[107,178,187],"reference":[108],"model":[109],"standardizes":[111],"use":[112],"cases":[113],"artifacts":[115],"Data":[118],"integrate":[122],"ML":[125,163],"user":[127,189],"empowerment.":[128],"Thus,":[129],"work\u2019s":[131],"concepts":[132,175],"implementations":[134],"try":[135],"achieve":[137],"AI2VIS4BigData-compliant":[139],"categorizing":[147],"text":[148,156],"creating":[151],"insightful":[152],"dashboards.":[153],"Thereby,":[154],"the":[155,183,197,212,221,224,240],"based":[159],"on":[160,211],"existing":[162],"component.":[164],"Furthermore,":[165],"presents":[167],"two":[168],"evaluations":[169],"were":[171],"conducted":[172],"these":[174],"implementations:":[177],"cognitive":[180],"walkthrough":[181],"assessing":[182],"system\u2019s":[184],"usability":[185],"quantitative":[188],"study":[190],"18":[192],"participants":[193],"revealed":[194,216],"though":[196],"users":[198],"perceive":[199],"efficient,":[204],"they":[205],"need":[206],"time":[208],"reflect":[210],"recommendations.":[213],"The":[214,233],"increased":[220],"correctness":[222],"users\u2019":[225],"categorizations":[226],"but":[227],"also":[228],"slowed":[229],"down":[230],"their":[231],"decision-making.":[232],"assumption":[234],"due":[238],"UI":[241],"design":[242],"additional":[244],"processing":[247],"follow-up":[249],"research.":[250]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
