{"id":"https://openalex.org/W4205579485","doi":"https://doi.org/10.1145/3487351.3490965","title":"SCATE","display_name":"SCATE","publication_year":2021,"publication_date":"2021-11-08","ids":{"openalex":"https://openalex.org/W4205579485","doi":"https://doi.org/10.1145/3487351.3490965"},"language":"en","primary_location":{"id":"doi:10.1145/3487351.3490965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3487351.3490965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","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/A5047198751","display_name":"Tanmay Sachan","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Tanmay Sachan","raw_affiliation_strings":["IIIT Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"IIIT Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080434157","display_name":"Nikhil Pinnaparaju","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nikhil Pinnaparaju","raw_affiliation_strings":["IIIT Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"IIIT Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046755750","display_name":"Manish Gupta","orcid":"https://orcid.org/0000-0002-2843-3110"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manish Gupta","raw_affiliation_strings":["IIIT Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"IIIT Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073786634","display_name":"Vasudeva Varma","orcid":"https://orcid.org/0000-0003-1923-1725"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vasudeva Varma","raw_affiliation_strings":["IIIT Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"IIIT Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047198751"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":0.7685,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.74366013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"399","last_page":"406"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9966999888420105,"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/T10028","display_name":"Topic Modeling","score":0.9887999892234802,"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":0.8252519369125366},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6064057946205139},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.562795877456665},{"id":"https://openalex.org/keywords/crossmodal","display_name":"Crossmodal","score":0.5535288453102112},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.49636131525039673},{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.4866536259651184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4855022430419922},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4660808742046356},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.45221981406211853},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.43898388743400574},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4343172013759613},{"id":"https://openalex.org/keywords/noisy-text-analytics","display_name":"Noisy text analytics","score":0.4275381565093994},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3896288573741913},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.217426598072052}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8252519369125366},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6064057946205139},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.562795877456665},{"id":"https://openalex.org/C60115397","wikidata":"https://www.wikidata.org/wiki/Q5188732","display_name":"Crossmodal","level":4,"score":0.5535288453102112},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.49636131525039673},{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.4866536259651184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4855022430419922},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4660808742046356},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.45221981406211853},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.43898388743400574},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4343172013759613},{"id":"https://openalex.org/C151375590","wikidata":"https://www.wikidata.org/wiki/Q17147076","display_name":"Noisy text analytics","level":4,"score":0.4275381565093994},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3896288573741913},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.217426598072052},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.0},{"id":"https://openalex.org/C66945725","wikidata":"https://www.wikidata.org/wiki/Q18388823","display_name":"Text graph","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"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:10.1145/3487351.3490965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3487351.3490965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1546111015","https://openalex.org/W1614298861","https://openalex.org/W1686810756","https://openalex.org/W2084591134","https://openalex.org/W2116873850","https://openalex.org/W2296241532","https://openalex.org/W2339329611","https://openalex.org/W2609512471","https://openalex.org/W2742144412","https://openalex.org/W2766462585","https://openalex.org/W2788235048","https://openalex.org/W2798787718","https://openalex.org/W2802701183","https://openalex.org/W2807164052","https://openalex.org/W2896457183","https://openalex.org/W2912078280","https://openalex.org/W2912305564","https://openalex.org/W2963383024","https://openalex.org/W2972944582","https://openalex.org/W2977799215","https://openalex.org/W2979791645","https://openalex.org/W2982137384","https://openalex.org/W2994071599","https://openalex.org/W3106237638","https://openalex.org/W3163153129","https://openalex.org/W4385245566","https://openalex.org/W6638896900","https://openalex.org/W6671933157","https://openalex.org/W6687239747","https://openalex.org/W6697226171","https://openalex.org/W6728948773","https://openalex.org/W6739901393","https://openalex.org/W6753550614","https://openalex.org/W6761041305"],"related_works":["https://openalex.org/W3197131596","https://openalex.org/W4390616380","https://openalex.org/W4388666321","https://openalex.org/W4205914924","https://openalex.org/W4283459170","https://openalex.org/W4390691583","https://openalex.org/W4225301003","https://openalex.org/W4229014887","https://openalex.org/W4229067106","https://openalex.org/W4388798880"],"abstract_inverted_index":{"Social":[0],"media":[1],"platforms":[2],"have":[3,44],"democratized":[4],"the":[5,30,48,62,78,98,108,173,180,216,236],"publication":[6],"process":[7],"resulting":[8],"into":[9],"easy":[10],"and":[11,32,80,133,168,176,182,200,206,212,228],"viral":[12],"propagation":[13],"of":[14],"information.":[15],"Oftentimes":[16],"this":[17,52,66,92],"misinformation":[18],"is":[19,68],"accompanied":[20],"by":[21,239],"misleading":[22],"or":[23,100],"doctored":[24],"images":[25],"that":[26,151,231],"quickly":[27],"circulate":[28],"across":[29],"internet":[31],"reach":[33],"many":[34,71,95],"unsuspecting":[35],"users.":[36],"Several":[37],"manual":[38,56],"as":[39,41],"well":[40],"automated":[42,72],"efforts":[43,57],"been":[45],"undertaken":[46],"in":[47,94],"past":[49],"to":[50,85,104,113,121,125,147,162,171,178,203],"solve":[51],"critical":[53],"problem.":[54],"While":[55,116],"cannot":[58],"keep":[59],"up":[60],"with":[61,221],"rate":[63],"at":[64],"which":[65],"content":[67],"churned":[69],"out,":[70],"approaches":[73],"only":[74],"leverage":[75,179],"concatenation":[76],"(of":[77],"image":[79,101,111,134,174,183,205],"text":[81,99,132,164,181,207],"representations)":[82],"thereby":[83],"failing":[84],"build":[86,148],"effective":[87,140],"crossmodal":[88,128,210],"embeddings.":[89],"Architectures":[90],"like":[91,160],"fail":[93],"cases":[96],"because":[97],"doesn't":[102],"need":[103],"be":[105,114,153],"false":[106],"for":[107,215],"corresponding":[109],"text,":[110],"pair":[112],"misinformation.":[115],"some":[117],"recent":[118],"work":[119],"attempts":[120],"use":[122],"attention":[123,211],"techniques":[124],"compute":[126],"a":[127,138],"representation":[129],"using":[130],"pretrained":[131,145],"embeddings,":[135],"we":[136],"show":[137,230],"more":[139],"approach":[141],"towards":[142],"utilizing":[143,209],"such":[144],"embeddings":[146],"richer":[149],"representations":[150],"can":[152],"classified":[154],"better.":[155],"This":[156],"involves":[157],"several":[158],"challenges":[159],"how":[161,170,177],"handle":[163],"variations":[165],"on":[166,244],"Twitter":[167],"Weibo,":[169],"encode":[172,204],"information":[175,208],"encodings":[184],"together":[185],"effectively.":[186],"Our":[187,219],"architecture,":[188],"SCATE":[189],"(Shared":[190],"Cross":[191],"Attention":[192],"Transformer":[193],"Encoders),":[194],"leverages":[195],"deep":[196],"convolutional":[197],"neural":[198],"networks":[199],"transformer-based":[201],"methods":[202,234,238],"shared":[213],"layers":[214],"two":[217],"modalities.":[218],"experiments":[220],"three":[222,241,246],"popular":[223],"benchmark":[224],"datasets":[225],"(Twitter,":[226],"WeiboA":[227],"WeiboB)":[229],"our":[232],"proposed":[233],"outperform":[235],"state-of-the-art":[237],"approximately":[240],"percentage":[242],"points":[243],"all":[245],"datasets.":[247]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-01-26T00:00:00"}