{"id":"https://openalex.org/W3202379861","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534382","title":"Clickbait Detection in Telugu: Overcoming NLP Challenges in Resource-Poor Languages using Benchmarked Techniques","display_name":"Clickbait Detection in Telugu: Overcoming NLP Challenges in Resource-Poor Languages using Benchmarked Techniques","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3202379861","doi":"https://doi.org/10.1109/ijcnn52387.2021.9534382","mag":"3202379861"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9534382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5062052248","display_name":"Mounika Marreddy","orcid":"https://orcid.org/0000-0003-1184-640X"},"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":"Mounika Marreddy","raw_affiliation_strings":["IIIT Hyderabad"],"affiliations":[{"raw_affiliation_string":"IIIT Hyderabad","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029606497","display_name":"Subba Reddy Oota","orcid":"https://orcid.org/0000-0002-5975-622X"},"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":"Subba Reddy Oota","raw_affiliation_strings":["IIIT Hyderabad"],"affiliations":[{"raw_affiliation_string":"IIIT Hyderabad","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089168458","display_name":"Lakshmi Sireesha Vakada","orcid":"https://orcid.org/0000-0002-8398-576X"},"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":"Lakshmi Sireesha Vakada","raw_affiliation_strings":["IIIT Hyderabad"],"affiliations":[{"raw_affiliation_string":"IIIT Hyderabad","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090790415","display_name":"Venkata Charan Chinni","orcid":"https://orcid.org/0000-0003-4573-1096"},"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":"Venkata Charan Chinni","raw_affiliation_strings":["IIIT Hyderabad"],"affiliations":[{"raw_affiliation_string":"IIIT Hyderabad","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038314215","display_name":"Radhika Mamidi","orcid":"https://orcid.org/0000-0003-0171-0816"},"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":"Radhika Mamidi","raw_affiliation_strings":["IIIT Hyderabad"],"affiliations":[{"raw_affiliation_string":"IIIT Hyderabad","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5062052248"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":3.9928,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.93996067,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9934999942779541,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9897000193595886,"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/telugu","display_name":"Telugu","score":0.976668119430542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7854346036911011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7198804616928101},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7065019607543945},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4522276222705841}],"concepts":[{"id":"https://openalex.org/C2778756302","wikidata":"https://www.wikidata.org/wiki/Q8097","display_name":"Telugu","level":2,"score":0.976668119430542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7854346036911011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7198804616928101},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7065019607543945},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4522276222705841},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9534382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9534382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1486649854","https://openalex.org/W1911814792","https://openalex.org/W2021108748","https://openalex.org/W2064675550","https://openalex.org/W2108712612","https://openalex.org/W2118852500","https://openalex.org/W2148143831","https://openalex.org/W2153579005","https://openalex.org/W2160269795","https://openalex.org/W2250539671","https://openalex.org/W2251980887","https://openalex.org/W2282821441","https://openalex.org/W2493916176","https://openalex.org/W2514776376","https://openalex.org/W2542192908","https://openalex.org/W2560440203","https://openalex.org/W2569999341","https://openalex.org/W2597366411","https://openalex.org/W2601065187","https://openalex.org/W2761984197","https://openalex.org/W2762022354","https://openalex.org/W2763799325","https://openalex.org/W2768348081","https://openalex.org/W2783693193","https://openalex.org/W2788019703","https://openalex.org/W2896457183","https://openalex.org/W2907324027","https://openalex.org/W2914120296","https://openalex.org/W2952861497","https://openalex.org/W2955219525","https://openalex.org/W2962739339","https://openalex.org/W2963104173","https://openalex.org/W2963341956","https://openalex.org/W2963626623","https://openalex.org/W2965373594","https://openalex.org/W2970049541","https://openalex.org/W2996428491","https://openalex.org/W3008680127","https://openalex.org/W3013571468","https://openalex.org/W3035390927","https://openalex.org/W4246826033","https://openalex.org/W4287824654","https://openalex.org/W4289097425","https://openalex.org/W4294170691","https://openalex.org/W4294410807","https://openalex.org/W6629028937","https://openalex.org/W6682691769","https://openalex.org/W6745159025","https://openalex.org/W6745609711","https://openalex.org/W6759455113"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4323529320","https://openalex.org/W2142137786","https://openalex.org/W2336525283","https://openalex.org/W2508451165","https://openalex.org/W4225112709","https://openalex.org/W109950802","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Clickbait":[0,189,264],"headlines":[1,59],"have":[2],"become":[3],"a":[4,25,73,97,152,227],"nudge":[5],"in":[6,30,38,45,78],"social":[7,42],"media":[8,43],"and":[9,93,111,145,197,220,272],"news":[10],"websites.":[11],"The":[12],"methods":[13],"to":[14,122,186,261],"identify":[15],"clickbaits":[16],"are":[17],"largely":[18],"being":[19],"developed":[20],"for":[21,27,64,71,172,247],"English.":[22],"There":[23],"is":[24,181,184,256,259],"need":[26],"the":[28,36,39,85,113,128,136,160,203,211,235],"same":[29],"other":[31],"languages":[32],"as":[33],"well":[34],"with":[35],"increase":[37],"usage":[40],"of":[41,57,84,101,115,157,170,179,188,232,245,254,263],"platforms":[44],"different":[46,116],"languages.":[47],"In":[48],"this":[49,79],"work,":[50],"we":[51,105],"present":[52],"an":[53,66,168,243],"annotated":[54],"clickbait":[55,68,149,155,173,224,230,248],"dataset":[56,156,231],"112,657":[58,158,233],"that":[60,104,127,187,202,262],"can":[61],"be":[62],"used":[63],"building":[65],"automated":[67],"detection":[69],"system":[70],"Telugu,":[72],"resource-poor":[74],"language.":[75],"Our":[76],"contribution":[77],"paper":[80],"includes":[81],"(i)":[82],"generation":[83],"latest":[86],"pre-trained":[87,129,138,195,204,213,270],"language":[88,130,205],"models,":[89,196,271],"including":[90],"RoBERTa,":[91],"ALBERT,":[92],"ELECTRA":[94],"trained":[95,132,207],"on":[96,133,148,208,223],"large":[98,153,228],"Telugu":[99,134,154,209,229],"corpora":[100],"8,015,588":[102],"sentences":[103],"had":[106],"collected,":[107],"(ii)":[108],"data":[109],"analysis":[110],"benchmarking":[112],"performance":[114],"approaches":[117],"ranging":[118],"from":[119],"hand-crafted":[120],"features":[121],"state-of-the-art":[123],"models.":[124],"We":[125,191,200,266],"show":[126,201],"models":[131,139,206,214],"outperform":[135,210],"existing":[137,212],"viz.":[140,215],"BERT-Mulingual-Case":[141,216],"[1],":[142,217],"XLM-MLM":[143,218],"[2],":[144,219],"XLM-R":[146,221],"[3]":[147,222],"task.":[150,225],"On":[151,226],"samples,":[159,234],"Light":[161,236],"Gradient":[162,237],"Boosted":[163,238],"Machines":[164,239],"(LGBM)":[165,240],"model":[166,241],"achieves":[167,242],"F1-score":[169,178,244,253],"0.94":[171,246],"headlines.":[174,249],"For":[175,250],"Non-Clickbait":[176,251],"headlines,":[177,252],"0.93":[180,255],"obtained":[182,257],"which":[183,258],"similar":[185,260],"class.":[190,265],"open-source":[192,267],"our":[193,268],"dataset,":[194,269],"code":[198,273],"\u2018":[199],"<sup":[274,277],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[275,278],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[276,279],"https://github.com/subbareddy248/Clickbait-Resources":[280]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}