{"id":"https://openalex.org/W4408566032","doi":"https://doi.org/10.1109/icdmw65004.2024.00010","title":"Detecting Multi-Modal Fake AIGC from the Perspective of Emotional Manipulation Purpose","display_name":"Detecting Multi-Modal Fake AIGC from the Perspective of Emotional Manipulation Purpose","publication_year":2024,"publication_date":"2024-12-09","ids":{"openalex":"https://openalex.org/W4408566032","doi":"https://doi.org/10.1109/icdmw65004.2024.00010"},"language":"en","primary_location":{"id":"doi:10.1109/icdmw65004.2024.00010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw65004.2024.00010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Data Mining Workshops (ICDMW)","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/A5048206837","display_name":"Linzi Zhang","orcid":"https://orcid.org/0000-0003-2560-9499"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Linzi Zhang","raw_affiliation_strings":["Communication University of China,School of Economics and Management,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Communication University of China,School of Economics and Management,Beijing,China","institution_ids":["https://openalex.org/I75689368"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048206837"],"corresponding_institution_ids":["https://openalex.org/I75689368"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32514691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9531000256538391,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/perspective","display_name":"Perspective (graphical)","score":0.7766194343566895},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6908608078956604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6189801692962646},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4362589418888092},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37165650725364685}],"concepts":[{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.7766194343566895},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6908608078956604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6189801692962646},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4362589418888092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37165650725364685},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdmw65004.2024.00010","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw65004.2024.00010","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Data Mining Workshops (ICDMW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.41999998688697815}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2911668186","https://openalex.org/W2954960099","https://openalex.org/W2967615747","https://openalex.org/W3034713808","https://openalex.org/W3102409145","https://openalex.org/W3159222552","https://openalex.org/W3163652268","https://openalex.org/W3174408325","https://openalex.org/W4224324956","https://openalex.org/W4319300674","https://openalex.org/W4376481088","https://openalex.org/W4385469325","https://openalex.org/W4389542148","https://openalex.org/W4390849973","https://openalex.org/W4390874575","https://openalex.org/W4391129140","https://openalex.org/W4393160204","https://openalex.org/W4394895752","https://openalex.org/W4399250521","https://openalex.org/W4399464826","https://openalex.org/W4401609715","https://openalex.org/W4402671735","https://openalex.org/W4402703048","https://openalex.org/W4403791354","https://openalex.org/W4406906658","https://openalex.org/W6631190155","https://openalex.org/W6739901393","https://openalex.org/W6748304040","https://openalex.org/W6852582283","https://openalex.org/W6853093605","https://openalex.org/W6856386090","https://openalex.org/W6866377409","https://openalex.org/W6870281170","https://openalex.org/W6930147429"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2018871932","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Inconsistency":[0],"detection":[1],"plays":[2],"an":[3,144],"important":[4],"role":[5],"in":[6],"detecting":[7],"multi-modal":[8,70,134],"fake":[9,67,99,128],"AIGC":[10,34,68],"information":[11,22],"pieces.":[12],"When":[13],"measuring":[14],"inconsistent":[15],"features,":[16],"the":[17,31,46,62,66,88,109,139],"existing":[18],"methods":[19],"focus":[20],"on":[21,125],"appearance":[23,43],"such":[24],"as":[25,117],"semantic,":[26],"noise,":[27],"collecting":[28],"signals.":[29],"However,":[30],"development":[32],"of":[33,146],"techniques":[35],"with":[36,61,69,143],"modality":[37,51],"transformation":[38],"has":[39],"made":[40],"discern":[41],"from":[42,49,91],"difficult,":[44],"and":[45,81,94,100,103,148],"emotional":[47,89,105,110,135],"signals":[48,90],"each":[50],"should":[52],"not":[53],"be":[54],"ignored.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59],"start":[60],"purpose":[63],"for":[64],"which":[65,114],"was":[71],"created":[72],"-":[73],"to":[74,107],"manipulate":[75],"public":[76],"emotion":[77,120],"through":[78],"more":[79],"convincing":[80],"modal-complementary":[82],"generated":[83],"contents.":[84],"We":[85],"verify":[86],"that":[87,131],"text,":[92],"audio":[93],"video":[95],"are":[96],"distinctive":[97],"between":[98],"real":[101],"pieces,":[102],"propose":[104],"fluctuation":[106],"represent":[108],"variation":[111],"cross":[112],"modalities,":[113],"also":[115],"acts":[116],"a":[118],"key":[119],"representation.":[121],"Further,":[122],"extensive":[123],"experiments":[124],"two":[126],"generative":[127],"datasets":[129],"exhibits":[130],"our":[132],"proposed":[133],"signal":[136],"framework":[137],"outperforms":[138],"state-of-the-art":[140],"appearancerelated":[141],"representations":[142],"increasing":[145],"1.61%":[147],"1.69%.":[149]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}