{"id":"https://openalex.org/W2337096301","doi":"https://doi.org/10.1145/2872518.2889404","title":"Effect of Spam on Hashtag Recommendation for Tweets","display_name":"Effect of Spam on Hashtag Recommendation for Tweets","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2337096301","doi":"https://doi.org/10.1145/2872518.2889404","mag":"2337096301"},"language":"en","primary_location":{"id":"doi:10.1145/2872518.2889404","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2872518.2889404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion","raw_type":"proceedings-article"},"type":"conference-paper","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/A5027829088","display_name":"Surendra Sedhai","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Surendra Sedhai","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100618738","display_name":"Aixin Sun","orcid":"https://orcid.org/0000-0003-0764-4258"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Aixin Sun","raw_affiliation_strings":["Nanyang Technological University, Singapore , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore , Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":1.5723,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83464329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"97","last_page":"98"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.998199999332428,"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":0.9958000183105469,"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":0.8296149969100952},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5856527090072632},{"id":"https://openalex.org/keywords/spamming","display_name":"Spamming","score":0.5349050760269165},{"id":"https://openalex.org/keywords/forum-spam","display_name":"Forum spam","score":0.5340171456336975},{"id":"https://openalex.org/keywords/spambot","display_name":"Spambot","score":0.5325742363929749},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.527431309223175},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5129584670066833},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4193485975265503},{"id":"https://openalex.org/keywords/bag-of-words-model","display_name":"Bag-of-words model","score":0.4150359034538269},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3273196518421173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25472456216812134},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.13138234615325928}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8296149969100952},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5856527090072632},{"id":"https://openalex.org/C158955206","wikidata":"https://www.wikidata.org/wiki/Q83058","display_name":"Spamming","level":3,"score":0.5349050760269165},{"id":"https://openalex.org/C157310412","wikidata":"https://www.wikidata.org/wiki/Q3140915","display_name":"Forum spam","level":5,"score":0.5340171456336975},{"id":"https://openalex.org/C127735637","wikidata":"https://www.wikidata.org/wiki/Q2306702","display_name":"Spambot","level":4,"score":0.5325742363929749},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.527431309223175},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5129584670066833},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4193485975265503},{"id":"https://openalex.org/C13672336","wikidata":"https://www.wikidata.org/wiki/Q3460803","display_name":"Bag-of-words model","level":2,"score":0.4150359034538269},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3273196518421173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25472456216812134},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.13138234615325928},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2872518.2889404","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2872518.2889404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion","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":4,"referenced_works":["https://openalex.org/W2000908731","https://openalex.org/W2103567420","https://openalex.org/W2108102897","https://openalex.org/W2165701072"],"related_works":["https://openalex.org/W2018000323","https://openalex.org/W2095720311","https://openalex.org/W2403960249","https://openalex.org/W2898345088","https://openalex.org/W2080521416","https://openalex.org/W1937320931","https://openalex.org/W2075252441","https://openalex.org/W1502194589","https://openalex.org/W1965586806","https://openalex.org/W4292167554"],"abstract_inverted_index":{"Presence":[0],"of":[1,11,31,41,61,67,95],"spam":[2,32,42,69,89,100,114,133,141],"tweets":[3,43,49,51,64,90,127,142],"in":[4,54,99,148],"a":[5,59],"dataset":[6],"may":[7,128],"affect":[8],"the":[9,29,39,96,117,144,151],"choices":[10],"feature":[12],"selection,":[13],"algorithm":[14],"formulation,":[15],"and":[16,70],"system":[17],"evaluation":[18],"for":[19,47,88,157],"many":[20],"applications.":[21],"However,":[22],"most":[23,106,149],"existing":[24],"studies":[25],"have":[26],"not":[27,129],"considered":[28],"impact":[30,40],"tweets.":[33,101,115,134],"In":[34,74],"this":[35],"paper,":[36],"we":[37,77],"study":[38],"on":[44,113,125,132],"hashtag":[45,158],"recommendation":[46,159],"hyperlinked":[48],"(i.e.,":[50,72],"containing":[52],"URLs)":[53],"HSpam14":[55,57],"dataset.":[56],"is":[58,81],"collection":[60,146],"14":[62],"million":[63],"with":[65],"annotations":[66],"being":[68],"ham":[71,92,126],"non-spam).":[73],"our":[75],"experiments,":[76],"observe":[78],"that":[79,121,138],"it":[80],"much":[82],"easier":[83],"to":[84],"recommend":[85],"\"correct\"":[86],"hashtags":[87,108],"than":[91],"tweets,":[93],"because":[94],"near":[97],"duplicates":[98],"Simple":[102],"approaches":[103],"like":[104],"recommending":[105],"popular":[107],"achieves":[109],"very":[110],"good":[111],"accuracy":[112],"On":[116],"other":[118],"hand,":[119],"features":[120],"are":[122],"highly":[123],"effective":[124,131],"be":[130,155],"Our":[135],"findings":[136],"suggest":[137],"without":[139],"removing":[140],"from":[143],"data":[145],"(as":[147],"studies),":[150],"results":[152],"obtained":[153],"could":[154],"misleading":[156],"tasks.":[160]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
