{"id":"https://openalex.org/W2081980144","doi":"https://doi.org/10.1145/2348283.2348526","title":"$100,000 prize jackpot. call now!","display_name":"$100,000 prize jackpot. call now!","publication_year":2012,"publication_date":"2012-08-12","ids":{"openalex":"https://openalex.org/W2081980144","doi":"https://doi.org/10.1145/2348283.2348526","mag":"2081980144"},"language":"en","primary_location":{"id":"doi:10.1145/2348283.2348526","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2348283.2348526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval","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/A5111780030","display_name":"Henry Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Henry Tan","raw_affiliation_strings":["Georgetown University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Georgetown University, Washington, DC, USA","institution_ids":["https://openalex.org/I184565670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036610566","display_name":"Nazli Goharian","orcid":null},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nazli Goharian","raw_affiliation_strings":["Georgetown University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Georgetown University, Washington, DC, USA","institution_ids":["https://openalex.org/I184565670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001599186","display_name":"Micah Sherr","orcid":"https://orcid.org/0000-0001-7413-7673"},"institutions":[{"id":"https://openalex.org/I184565670","display_name":"Georgetown University","ror":"https://ror.org/05vzafd60","country_code":"US","type":"education","lineage":["https://openalex.org/I184565670"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Micah Sherr","raw_affiliation_strings":["Georgetown University, Washington, DC, USA"],"affiliations":[{"raw_affiliation_string":"Georgetown University, Washington, DC, USA","institution_ids":["https://openalex.org/I184565670"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111780030"],"corresponding_institution_ids":["https://openalex.org/I184565670"],"apc_list":null,"apc_paid":null,"fwci":5.6844,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.95832016,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1175","last_page":"1176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9995999932289124,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8181371688842773},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.8164241313934326},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6916021108627319},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6492400765419006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5403739213943481},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.45520877838134766},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4275778532028198},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39323097467422485},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12946557998657227},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12550422549247742},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.10405537486076355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8181371688842773},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.8164241313934326},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6916021108627319},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6492400765419006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5403739213943481},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.45520877838134766},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4275778532028198},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39323097467422485},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12946557998657227},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12550422549247742},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.10405537486076355},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2348283.2348526","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2348283.2348526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2036166268","https://openalex.org/W2041597619","https://openalex.org/W2062614982","https://openalex.org/W2097381646","https://openalex.org/W2116406464"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W2597809628","https://openalex.org/W3046370962"],"abstract_inverted_index":{"Mobile":[0],"SMS":[1],"spam":[2,27,58],"is":[3,8,53,72,78],"on":[4],"the":[5,34,42,48,56,85],"rise":[6],"and":[7,26],"a":[9,91],"prevalent":[10],"problem.":[11],"While":[12],"recent":[13],"work":[14],"has":[15],"shown":[16],"that":[17,51,67,77,82],"simple":[18,52,69],"machine":[19],"learning":[20],"techniques":[21],"can":[22],"distinguish":[23],"between":[24],"ham":[25],"with":[28],"high":[29],"accuracy,":[30],"this":[31],"paper":[32],"explores":[33],"individual":[35],"contributions":[36],"of":[37,60],"various":[38],"textual":[39,70],"features":[40,71],"in":[41],"classification":[43],"process.":[44],"Our":[45],"results":[46],"reveal":[47],"surprising":[49],"finding":[50],"better:":[54],"using":[55,68],"largest":[57],"corpus":[59],"which":[61],"we":[62,65],"are":[63],"aware,":[64],"find":[66],"sufficient":[73],"to":[74,81],"provide":[75],"accuracy":[76],"nearly":[79],"identical":[80],"achieved":[83],"by":[84],"best":[86],"known":[87],"techniques,":[88],"while":[89],"achieving":[90],"twofold":[92],"speedup.":[93]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}