{"id":"https://openalex.org/W2139143222","doi":"https://doi.org/10.1145/2516760.2516772","title":"The curse of 140 characters","display_name":"The curse of 140 characters","publication_year":2013,"publication_date":"2013-11-08","ids":{"openalex":"https://openalex.org/W2139143222","doi":"https://doi.org/10.1145/2516760.2516772","mag":"2139143222"},"language":"en","primary_location":{"id":"doi:10.1145/2516760.2516772","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2516760.2516772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third ACM workshop on Security and privacy in smartphones &amp; mobile devices","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/A5065704674","display_name":"Akshay Narayan","orcid":"https://orcid.org/0000-0002-0776-8616"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Akshay Narayan","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034054081","display_name":"Prateek Saxena","orcid":"https://orcid.org/0000-0002-1875-8675"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Prateek Saxena","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.1981,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.97519581,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"33","last_page":"42"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":1.0,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9997000098228455,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.79295414686203},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6277276873588562},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.598730206489563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5631623268127441},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5611361265182495},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.49079951643943787},{"id":"https://openalex.org/keywords/spamming","display_name":"Spamming","score":0.46663030982017517},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.4488737881183624},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4272956848144531},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37937504053115845},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.1661832630634308},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1347116231918335},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0805036723613739},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07299107313156128}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.79295414686203},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6277276873588562},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.598730206489563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5631623268127441},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5611361265182495},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.49079951643943787},{"id":"https://openalex.org/C158955206","wikidata":"https://www.wikidata.org/wiki/Q83058","display_name":"Spamming","level":3,"score":0.46663030982017517},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.4488737881183624},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4272956848144531},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37937504053115845},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.1661832630634308},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1347116231918335},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0805036723613739},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07299107313156128},{"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:10.1145/2516760.2516772","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2516760.2516772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Third ACM workshop on Security and privacy in smartphones &amp; mobile devices","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":23,"referenced_works":["https://openalex.org/W1508924108","https://openalex.org/W1824099197","https://openalex.org/W1973644085","https://openalex.org/W1982302133","https://openalex.org/W2000369940","https://openalex.org/W2003798735","https://openalex.org/W2005241960","https://openalex.org/W2036166268","https://openalex.org/W2073830447","https://openalex.org/W2091540464","https://openalex.org/W2096779808","https://openalex.org/W2110357431","https://openalex.org/W2120011452","https://openalex.org/W2129281072","https://openalex.org/W2135332490","https://openalex.org/W2138872119","https://openalex.org/W2153635508","https://openalex.org/W2155942458","https://openalex.org/W2165701072","https://openalex.org/W2171622762","https://openalex.org/W2245731430","https://openalex.org/W3099138433","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1987732684","https://openalex.org/W2286465138","https://openalex.org/W637393809","https://openalex.org/W2808742736","https://openalex.org/W3126526144","https://openalex.org/W1526983901","https://openalex.org/W3021299372","https://openalex.org/W2184211279","https://openalex.org/W2346278349","https://openalex.org/W3139094847"],"abstract_inverted_index":{"Many":[0],"applications":[1,29],"are":[2],"available":[3],"on":[4,62,84],"Android":[5],"market":[6],"place":[7],"for":[8,101],"SMS":[9,89],"spam":[10,25,60,74,115,122],"filtering.":[11],"In":[12],"this":[13,93],"paper,":[14],"we":[15,40,53,56,95,145],"conduct":[16],"a":[17,97],"detailed":[18],"study":[19,35],"of":[20,49,127,135],"the":[21,107,142],"methods":[22],"used":[23,87],"in":[24,27,92,109],"filtering":[26,123],"these":[28,50,72],"by":[30],"reverse":[31],"engineering":[32],"them.":[33],"Our":[34,117],"has":[36],"three":[37],"parts.":[38],"First,":[39],"perform":[41],"empirical":[42],"tests":[43],"to":[44],"valuate":[45],"accuracy":[46,80,110,126],"and":[47,105,125],"precision":[48,124],"apps.":[51],"Second,":[52],"test":[54,68],"if":[55],"can":[57,138],"use":[58],"email":[59,73,114,136],"classifiers":[61,75],"short":[63,102],"text":[64,103],"messages":[65,104],"effectively.":[66],"Empirical":[67],"results":[69,119],"show":[70,120],"that":[71,121],"do":[76,83],"not":[77],"yield":[78],"optimal":[79],"(like":[81],"they":[82],"emails)":[85],"when":[86],"with":[88,133],"data.":[90],"Finally,":[91],"work":[94],"develop":[96],"two-level":[98],"stacked":[99,143],"classifier":[100,144],"demonstrate":[106],"improvement":[108],"over":[111],"traditional":[112],"Bayesian":[113],"filters.":[116],"experimental":[118],"nearly":[128],"98%":[129],"(which":[130],"is":[131],"comparable":[132],"those":[134],"classifiers)":[137],"be":[139],"obtained":[140],"using":[141],"develop.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
