{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,7]],"date-time":"2025-05-07T04:14:39Z","timestamp":1746591279902,"version":"3.40.5"},"publisher-location":"Cham","reference-count":40,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031874987"},{"type":"electronic","value":"9783031874994"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-87499-4_16","type":"book-chapter","created":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T12:13:56Z","timestamp":1746188036000},"page":"249-266","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Does Gender Matter? Examining and\u00a0Mitigating Gender Bias in\u00a0Fake News Detection"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5077-3413","authenticated-orcid":false,"given":"Dorsaf","family":"Sallami","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7414-5454","authenticated-orcid":false,"given":"Esma","family":"A\u00efmeur","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,5,1]]},"reference":[{"issue":"1","key":"16_CR1","doi-asserted-by":"publisher","first-page":"229","DOI":"10.17645\/mac.v9i1.3523","volume":"9","author":"E Almenar","year":"2021","unstructured":"Almenar, E., Aran-Ramspott, S., Suau, J., Masip, P.: Gender differences in tackling fake news: different degrees of concern, but same problems. Media Commun. 9(1), 229\u2013238 (2021)","journal-title":"Media Commun."},{"key":"16_CR2","doi-asserted-by":"crossref","unstructured":"Amri, S., Sallami, D., A\u00efmeur, E.: Exmulf: an explainable multimodal content-based fake news detection system. In: International Symposium on Foundations and Practice of Security, pp. 177\u2013187. Springer (2021)","DOI":"10.1007\/978-3-031-08147-7_12"},{"key":"16_CR3","doi-asserted-by":"crossref","unstructured":"Augenstein, I., et al.: Multifc: a real-world multi-domain dataset for evidence-based fact checking of claims. arXiv preprint arXiv:1909.03242 (2019)","DOI":"10.18653\/v1\/D19-1475"},{"issue":"2","key":"16_CR4","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1080\/00031305.2021.1952897","volume":"76","author":"P Besse","year":"2022","unstructured":"Besse, P., del Barrio, E., Gordaliza, P., Loubes, J.M., Risser, L.: A survey of bias in machine learning through the prism of statistical parity. Am. Stat. 76(2), 188\u2013198 (2022)","journal-title":"Am. Stat."},{"key":"16_CR5","doi-asserted-by":"crossref","unstructured":"Dacon, J., Liu, H.: Does gender matter in the news? detecting and examining gender bias in news articles. In: Companion Proceedings of the Web Conference 2021, pp. 385\u2013392 (2021)","DOI":"10.1145\/3442442.3452325"},{"key":"16_CR6","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.518","volume":"7","author":"A D\u2019Ulizia","year":"2021","unstructured":"D\u2019Ulizia, A., Caschera, M.C., Ferri, F., Grifoni, P.: Fake news detection: a survey of evaluation datasets. PeerJ Comput. Sci. 7, e518 (2021)","journal-title":"PeerJ Comput. Sci."},{"key":"16_CR7","unstructured":"Goodfellow, I.J., Shlens, J., Szegedy, C.: Explaining and harnessing adversarial examples. arXiv preprint arXiv:1412.6572 (2014)"},{"key":"16_CR8","doi-asserted-by":"crossref","unstructured":"Horne, B., Adali, S.: This just in: fake news packs a lot in title, uses simpler, repetitive content in text body, more similar to satire than real news. In: Proceedings of the International AAAI Conference on Web and Social Media, vol.\u00a011, pp. 759\u2013766 (2017)","DOI":"10.1609\/icwsm.v11i1.14976"},{"key":"16_CR9","unstructured":"Judson, E., Atay, A., Krasodomski-Jones, A., Lasko-Skinner, R., Smith, J.: Engendering hate: the contours of state-aligned gendered disinformation online. demos (2020)"},{"key":"16_CR10","doi-asserted-by":"crossref","unstructured":"Kato, S., Yang, L., Ikeda, D.: Domain bias in fake news datasets consisting of fake and real news pairs. In: 2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI), pp. 101\u2013106. IEEE (2022)","DOI":"10.1109\/IIAIAAI55812.2022.00029"},{"key":"16_CR11","doi-asserted-by":"crossref","unstructured":"Leavy, S.: Gender bias in artificial intelligence: the need for diversity and gender theory in machine learning. In: Proceedings of the 1st International Workshop on Gender Equality in Software Engineering, pp. 14\u201316 (2018)","DOI":"10.1145\/3195570.3195580"},{"key":"16_CR12","doi-asserted-by":"crossref","unstructured":"Lee, M., Won, S., Kim, J., Lee, H., Park, C., Jung, K.: Crossaug: a contrastive data augmentation method for debiasing fact verification models. In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management, pp. 3181\u20133185 (2021)","DOI":"10.1145\/3459637.3482078"},{"key":"16_CR13","doi-asserted-by":"crossref","unstructured":"Liu, Q., Wu, J., Wu, S., Wang, L.: Out-of-distribution evidence-aware fake news detection via dual adversarial debiasing. IEEE Trans. Knowl. Data Eng. (2024)","DOI":"10.1109\/TKDE.2024.3390431"},{"key":"16_CR14","doi-asserted-by":"crossref","unstructured":"Murayama, T., Wakamiya, S., Aramaki, E.: Mitigation of diachronic bias in fake news detection dataset. arXiv preprint arXiv:2108.12601 (2021)","DOI":"10.18653\/v1\/2021.wnut-1.21"},{"key":"16_CR15","doi-asserted-by":"crossref","unstructured":"N\u00f8rregaard, J., Horne, B.D., Adal\u0131, S.: Nela-gt-2018: a large multi-labelled news dataset for the study of misinformation in news articles. In: Proceedings of the International AAAI Conference on Web and Social Media, vol.\u00a013, pp. 630\u2013638 (2019)","DOI":"10.1609\/icwsm.v13i01.3261"},{"issue":"1","key":"16_CR16","doi-asserted-by":"publisher","first-page":"15","DOI":"10.3390\/bdcc7010015","volume":"7","author":"TP Pagano","year":"2023","unstructured":"Pagano, T.P., et al.: Bias and unfairness in machine learning models: a systematic review on datasets, tools, fairness metrics, and identification and mitigation methods. Big Data Cognit. Comput. 7(1), 15 (2023)","journal-title":"Big Data Cognit. Comput."},{"key":"16_CR17","unstructured":"Park, J., Ellezhuthil, R., Arunachalam, R., Feldman, L., Singh, V.: Toward fairness in misinformation detection algorithms. In: Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media, vol.\u00a016 (2022)"},{"key":"16_CR18","doi-asserted-by":"crossref","unstructured":"Park, J., Ellezhuthil, R.D., Isaac, J., Mergerson, C., Feldman, L., Singh, V.: Misinformation detection algorithms and fairness across political ideologies: the impact of article level labeling. In: Proceedings of the 15th ACM Web Science Conference 2023, pp. 107\u2013116 (2023)","DOI":"10.1145\/3578503.3583617"},{"key":"16_CR19","doi-asserted-by":"crossref","unstructured":"Patwa, P., et al.: Fighting an infodemic: Covid-19 fake news dataset. In: Combating Online Hostile Posts in Regional Languages during Emergency Situation: First International Workshop, CONSTRAINT 2021, Collocated with AAAI 2021, Virtual Event, February 8, 2021, Revised Selected Papers 1, pp. 21\u201329. Springer (2021)","DOI":"10.1007\/978-3-030-73696-5_3"},{"key":"16_CR20","unstructured":"P\u00e9rez-Rosas, V., Kleinberg, B., Lefevre, A., Mihalcea, R.: Automatic detection of fake news. arXiv preprint arXiv:1708.07104 (2017)"},{"key":"16_CR21","doi-asserted-by":"crossref","unstructured":"Pessach, D., Shmueli, E.: Algorithmic fairness. In: Machine Learning for Data Science Handbook: Data Mining and Knowledge Discovery Handbook, pp. 867\u2013886. Springer (2023)","DOI":"10.1007\/978-3-031-24628-9_37"},{"key":"16_CR22","doi-asserted-by":"crossref","unstructured":"Raj, C., Mukherjee, A., Zhu, Z.: True and fair: Robust and unbiased fake news detection via interpretable machine learning. In: Proceedings of the 2023 AAAI\/ACM Conference on AI, Ethics, and Society, pp. 962\u2013963 (2023)","DOI":"10.1145\/3600211.3604760"},{"key":"16_CR23","doi-asserted-by":"crossref","unstructured":"Sallami, D., A\u00efmeur, E.: Fairframe: a fairness framework for bias detection and mitigation in news. AI and Ethics, pp. 1\u201317 (2024)","DOI":"10.1007\/s43681-024-00568-6"},{"key":"16_CR24","unstructured":"Sallami, D., A\u00efmeur, E.: Fndex: fake news and doxxing detection with explainable AI. arXiv preprint arXiv:2410.22390 (2024)"},{"issue":"1","key":"16_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s42001-024-00351-x","volume":"8","author":"D Sallami","year":"2025","unstructured":"Sallami, D., A\u00efmeur, E.: Exploring beyond detection: a review on fake news prevention and mitigation techniques. J. Comput. Soc. Sci. 8(1), 1\u201338 (2025)","journal-title":"J. Comput. Soc. Sci."},{"key":"16_CR26","doi-asserted-by":"crossref","unstructured":"Sallami, D., Ben\u00a0Salem, R., A\u00efmeur, E.: Trust-based recommender system for fake news mitigation. In: Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, pp. 104\u2013109 (2023)","DOI":"10.1145\/3563359.3597395"},{"key":"16_CR27","unstructured":"Sallami, D., Chang, Y.C., A\u00efmeur, E.: From deception to detection: the dual roles of large language models in fake news. arXiv preprint arXiv:2409.17416 (2024)"},{"key":"16_CR28","unstructured":"Sallami, D., Gueddiche, A., A\u00efmeur, E.: From hype to reality: revealing the accuracy and robustness of transformer-based models for fake news detection (2023)"},{"key":"16_CR29","doi-asserted-by":"crossref","unstructured":"Schuster, T., Shah, D.J., Yeo, Y.J.S., Filizzola, D., Santus, E., Barzilay, R.: Towards debiasing fact verification models. arXiv preprint arXiv:1908.05267 (2019)","DOI":"10.18653\/v1\/D19-1341"},{"key":"16_CR30","unstructured":"Sessa, M.G.: Misogyny and misinformation: an analysis of gendered disinformation tactics during the covid-19 pandemic. Disinfo. eu (2020)"},{"key":"16_CR31","doi-asserted-by":"crossref","unstructured":"Sheng, Q., Cao, J., Zhang, X., Li, R., Wang, D., Zhu, Y.: Zoom out and observe: news environment perception for fake news detection. arXiv preprint arXiv:2203.10885 (2022)","DOI":"10.18653\/v1\/2022.acl-long.311"},{"key":"16_CR32","first-page":"526","volume":"6","author":"E Shor","year":"2019","unstructured":"Shor, E., Van De Rijt, A., Fotouhi, B.: A large-scale test of gender bias in the media. Soc. Sci. 6, 526\u2013550 (2019)","journal-title":"Soc. Sci."},{"issue":"3","key":"16_CR33","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1089\/big.2020.0062","volume":"8","author":"K Shu","year":"2020","unstructured":"Shu, K., Mahudeswaran, D., Wang, S., Lee, D., Liu, H.: Fakenewsnet: a data repository with news content, social context, and spatiotemporal information for studying fake news on social media. Big Data 8(3), 171\u2013188 (2020)","journal-title":"Big Data"},{"key":"16_CR34","unstructured":"Spinde, T., et al.: The media bias taxonomy: a systematic literature review on the forms and automated detection of media bias. arXiv preprint arXiv:2312.16148 (2023)"},{"issue":"5","key":"16_CR35","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1080\/10999922.2019.1626695","volume":"21","author":"B Stabile","year":"2019","unstructured":"Stabile, B., Grant, A., Purohit, H., Harris, K.: Sex, lies, and stereotypes: gendered implications of fake news for women in politics. Public Integrity 21(5), 491\u2013502 (2019)","journal-title":"Public Integrity"},{"key":"16_CR36","doi-asserted-by":"crossref","unstructured":"Thakur, D., Hankerson, D.L.: Facts and their discontents: a research agenda for online disinformation, race, and gender (2021)","DOI":"10.31219\/osf.io\/3e8s5"},{"key":"16_CR37","doi-asserted-by":"crossref","unstructured":"Thorne, J., Vlachos, A., Christodoulopoulos, C., Mittal, A.: Fever: a large-scale dataset for fact extraction and verification. arXiv preprint arXiv:1803.05355 (2018)","DOI":"10.18653\/v1\/N18-1074"},{"key":"16_CR38","doi-asserted-by":"crossref","unstructured":"Wu, J., Liu, Q., Xu, W., Wu, S.: Bias mitigation for evidence-aware fake news detection by causal intervention. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 2308\u20132313 (2022)","DOI":"10.1145\/3477495.3531850"},{"key":"16_CR39","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1016\/j.neucom.2022.04.057","volume":"493","author":"G Zhang","year":"2022","unstructured":"Zhang, G., Ananiadou, S., et al.: Examining and mitigating gender bias in text emotion detection task. Neurocomputing 493, 422\u2013434 (2022)","journal-title":"Neurocomputing"},{"key":"16_CR40","doi-asserted-by":"crossref","unstructured":"Zhu, Y., Sheng, Q., Cao, J., Li, S., Wang, D., Zhuang, F.: Generalizing to the future: Mitigating entity bias in fake news detection. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 2120\u20132125 (2022)","DOI":"10.1145\/3477495.3531816"}],"container-title":["Lecture Notes in Computer Science","Foundations and Practice of Security"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-87499-4_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,6]],"date-time":"2025-05-06T08:36:43Z","timestamp":1746520603000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-87499-4_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031874987","9783031874994"],"references-count":40,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-87499-4_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"1 May 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"FPS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Foundations and Practice of Security","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Montr\u00e9al, QC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 December 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 December 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"fps2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/fps-2024.hec.ca\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}