{"id":"https://openalex.org/W7140109497","doi":"https://doi.org/10.18653/v1/2026.findings-eacl.253","title":"A Multi-Task Learning Framework for Modeling Engagement and Topic-Sensitive Responses in Arabic Women\u2019s Discourse","display_name":"A Multi-Task Learning Framework for Modeling Engagement and Topic-Sensitive Responses in Arabic Women\u2019s Discourse","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140109497","doi":"https://doi.org/10.18653/v1/2026.findings-eacl.253"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.findings-eacl.253","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-eacl.253","pdf_url":"https://aclanthology.org/2026.findings-eacl.253.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EACL 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.findings-eacl.253.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104453218","display_name":"Mabrouka Bessghaier","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mabrouka Bessghaier","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130402046","display_name":"Md. Rafiul Biswas","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Md. Rafiul Biswas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130383672","display_name":"Shimaa Ibrahim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shimaa Ibrahim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130368654","display_name":"Wajdi Zaghouani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wajdi Zaghouani","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4846","last_page":"4854"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.1251000016927719,"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"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.1251000016927719,"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/T10028","display_name":"Topic Modeling","score":0.11190000176429749,"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/T12488","display_name":"Mental Health via Writing","score":0.10679999738931656,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discourse-analysis","display_name":"Discourse analysis","score":0.38429999351501465},{"id":"https://openalex.org/keywords/arabic","display_name":"Arabic","score":0.30399999022483826},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.27570000290870667},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.27079999446868896},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2639000117778778}],"concepts":[{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.5485000014305115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4413999915122986},{"id":"https://openalex.org/C84389358","wikidata":"https://www.wikidata.org/wiki/Q1129466","display_name":"Discourse analysis","level":2,"score":0.38429999351501465},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.36579999327659607},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.35120001435279846},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3093000054359436},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29350000619888306},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.27570000290870667},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25760000944137573},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.2551000118255615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.findings-eacl.253","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-eacl.253","pdf_url":"https://aclanthology.org/2026.findings-eacl.253.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EACL 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.findings-eacl.253","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-eacl.253","pdf_url":"https://aclanthology.org/2026.findings-eacl.253.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EACL 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Gender equality","score":0.7512633204460144,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7140109497.pdf","grobid_xml":"https://content.openalex.org/works/W7140109497.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Predicting":[0],"how":[1],"audiences":[2],"react":[3],"to":[4],"Arabic":[5,60],"social":[6],"media":[7],"posts":[8,62],"requires":[9],"reasoning":[10],"beyond":[11],"textual":[12],"sentiment:":[13],"reactions":[14],"emerge":[15],"from":[16],"collective":[17],"interpretation":[18],"moderated":[19],"by":[20],"engagement":[21,45],"dynamics":[22],"and":[23,52,68,79],"topical":[24],"context.We":[25],"present":[26],"a":[27,56,74],"multi-task":[28],"learning":[29],"framework":[30],"that":[31],"jointly":[32],"learns":[33],"(i)":[34],"audience":[35],"reaction":[36],"classification":[37],"(Love,":[38],"Haha,":[39],"Angry,":[40],"Sad,":[41],"Care,":[42],"Wow),":[43],"(ii)":[44],"magnitude":[46],"regression":[47],"(six":[48],"reactions,":[49],"comments,":[50],"shares),":[51],"(iii)":[53],"non-engagement":[54],"detection.On":[55],"corpus":[57],"of":[58,77,81],"158k":[59],"Facebook":[61],"spanning":[63],"women's":[64],"rights,":[65],"gender":[66],"debates,":[67],"economic":[69],"empowerment,":[70],"our":[71],"model":[72],"achieves":[73],"test":[75],"macro-F1":[76],"72.4":[78],"weighted-F1":[80],"89.1.":[82]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-24T00:00:00"}
