{"id":"https://openalex.org/W4393224513","doi":"https://doi.org/10.1145/3654673","title":"Attacking Social Media via Behavior Poisoning","display_name":"Attacking Social Media via Behavior Poisoning","publication_year":2024,"publication_date":"2024-03-27","ids":{"openalex":"https://openalex.org/W4393224513","doi":"https://doi.org/10.1145/3654673"},"language":"en","primary_location":{"id":"doi:10.1145/3654673","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3654673","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3654673","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3654673","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033069158","display_name":"Chenwang Wu","orcid":"https://orcid.org/0000-0003-4937-0590"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenwang Wu","raw_affiliation_strings":["University of Science and Technology of China School of Data Science, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-4937-0590","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China School of Data Science, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085254654","display_name":"Defu Lian","orcid":"https://orcid.org/0000-0002-3507-9607"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Defu Lian","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-3507-9607","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050609316","display_name":"Yong Ge","orcid":"https://orcid.org/0000-0002-9630-795X"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Ge","raw_affiliation_strings":["The University of Arizona Eller College of Management, Tucson, USA"],"raw_orcid":"https://orcid.org/0000-0002-9630-795X","affiliations":[{"raw_affiliation_string":"The University of Arizona Eller College of Management, Tucson, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424288","display_name":"Min Zhou","orcid":"https://orcid.org/0000-0002-4088-1266"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhou","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4088-1266","affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048237545","display_name":"Enhong Chen","orcid":"https://orcid.org/0000-0002-4835-4102"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enhong Chen","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-4835-4102","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5244,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.92276939,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"18","issue":"7","first_page":"1","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9998000264167786,"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":0.9998000264167786,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9944000244140625,"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/social-media","display_name":"Social media","score":0.6058698892593384},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4169422388076782},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4164021611213684},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2092432975769043}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6058698892593384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4169422388076782},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4164021611213684},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2092432975769043}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3654673","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3654673","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3654673","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3654673","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3654673","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3654673","source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3179083445","display_name":null,"funder_award_id":"62022077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7198377615","display_name":null,"funder_award_id":"2021ZD0111801","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393224513.pdf","grobid_xml":"https://content.openalex.org/works/W4393224513.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W376013426","https://openalex.org/W1814023381","https://openalex.org/W1880262756","https://openalex.org/W1931400479","https://openalex.org/W1945616565","https://openalex.org/W1972737053","https://openalex.org/W1984629433","https://openalex.org/W2072322795","https://openalex.org/W2112056172","https://openalex.org/W2116926372","https://openalex.org/W2122463926","https://openalex.org/W2124168655","https://openalex.org/W2133131640","https://openalex.org/W2151092491","https://openalex.org/W2204187200","https://openalex.org/W2221728952","https://openalex.org/W2272986348","https://openalex.org/W2576489192","https://openalex.org/W2615497679","https://openalex.org/W2736051199","https://openalex.org/W2804502241","https://openalex.org/W2908232037","https://openalex.org/W2973248089","https://openalex.org/W2978890359","https://openalex.org/W3007092232","https://openalex.org/W3011345566","https://openalex.org/W3014775455","https://openalex.org/W3017338857","https://openalex.org/W3028110392","https://openalex.org/W3094437429","https://openalex.org/W3101739755","https://openalex.org/W3114501414","https://openalex.org/W3116602816","https://openalex.org/W3134766040","https://openalex.org/W3135723262","https://openalex.org/W3153279132","https://openalex.org/W3197263286","https://openalex.org/W3201148999","https://openalex.org/W3212226702","https://openalex.org/W4213043044","https://openalex.org/W4214543677","https://openalex.org/W4242087913","https://openalex.org/W4244536747","https://openalex.org/W4283797276","https://openalex.org/W4288758078","https://openalex.org/W4293580221","https://openalex.org/W4304080265","https://openalex.org/W4323037303","https://openalex.org/W4376132596","https://openalex.org/W4386510977"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Since":[0],"social":[1,95,114,276],"media":[2,96,115],"such":[3,45,224],"as":[4,10,46,98,225,255],"Facebook":[5],"and":[6,30,120,177,229,240,260],"X":[7],"(formerly":[8],"known":[9],"Twitter)":[11],"have":[12,20],"permeated":[13],"various":[14,58],"aspects":[15],"of":[16,72,84,94,162,217,252,266],"daily":[17],"life,":[18],"people":[19],"strong":[21],"incentives":[22],"to":[23,64,135,143,157,183,187,201,207,231],"influence":[24,74,102,155,161,219,268,273],"information":[25,63,210],"dissemination":[26,39,97,105],"on":[27,166,244,275],"these":[28],"platforms":[29],"differentiate":[31],"their":[32,57],"content":[33],"from":[34],"the":[35,92,159,167,209,215,250,262],"fierce":[36],"competition.":[37],"Existing":[38],"strategies":[40],"typically":[41],"employ":[42],"marketing":[43],"techniques,":[44],"seeking":[47],"publicity":[48],"through":[49],"renowned":[50],"actors":[51],"or":[52],"targeted":[53],"advertising":[54],"placements.":[55],"Despite":[56],"forms,":[59],"most":[60,81],"simply":[61],"spread":[62,160],"strengthen":[65],"user":[66,267],"impressions":[67],"without":[68],"conducting":[69],"formal":[70],"analyses":[71],"specific":[73],"enhancement.":[75],"And":[76],"coupled":[77],"with":[78,145],"high":[79],"costs,":[80],"fall":[82],"short":[83],"expectations.":[85],"To":[86],"this":[87],"end,":[88],"we":[89,124,150,170],"ingeniously":[90],"formulate":[91],"task":[93],"poisoning":[99,128,138,163],"attacks,":[100],"which":[101,140,198,212],"specified":[103],"content\u2019s":[104],"among":[106],"target":[107],"users":[108],"by":[109,194],"intervening":[110],"in":[111],"some":[112],"users\u2019":[113],"behaviors":[116,186,223],"(including":[117],"retweeting,":[118],"following,":[119],"profile":[121,179],"modifying).":[122],"Correspondingly,":[123],"propose":[125],"a":[126,178],"novel":[127],"attack,":[129],"Influence-based":[130],"Social":[131],"Media":[132],"Attack":[133],"(ISMA)":[134],"generate":[136],"discrete":[137],"behaviors,":[139],"is":[141,192],"difficult":[142],"achieve":[144],"existing":[146,218],"attacks.":[147],"In":[148],"ISMA,":[149],"first":[151],"contribute":[152],"an":[153,173],"efficient":[154],"evaluator":[156],"quantify":[158],"behaviors.":[164],"Based":[165],"estimated":[168],"influence,":[169],"then":[171],"present":[172],"imperceptible":[174],"hierarchical":[175],"selector":[176],"modification":[180],"method":[181,254],"ProMix":[182],"select":[184],"influential":[185],"poison.":[188],"Notably,":[189],"our":[190,236,253],"attack":[191,196,237],"driven":[193],"custom":[195],"objectives,":[197],"allows":[199],"one":[200],"flexibly":[202],"design":[203],"different":[204],"optimization":[205],"goals":[206],"change":[208],"flow,":[211],"could":[213],"solve":[214],"blindness":[216],"maximization":[220,274],"methods.":[221],"Besides,":[222],"retweeting":[226],"are":[227],"gentle":[228],"simple":[230],"implement.":[232],"These":[233],"properties":[234],"make":[235],"more":[238],"cost-effective":[239],"practical.":[241],"Extensive":[242],"experiments":[243],"two":[245],"large-scale":[246],"real-world":[247],"datasets":[248],"demonstrate":[249],"superiority":[251],"it":[256],"significantly":[257],"outperforms":[258],"baselines,":[259],"additionally,":[261],"proposed":[263],"evaluator\u2019s":[264],"analysis":[265],"provides":[269],"new":[270],"insights":[271],"for":[272],"media.":[277]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
