{"type":"ScholarlyArticle","title":"For Women, Life, Freedom: A Participatory AI-Based Social Web Analysis of a Watershed Moment in Iran's Gender Struggles","authors":[{"name":"Adel Khorramrouz","slug":"adel-khorramrouz","given":"Adel","family":"Khorramrouz","affiliation":"Rochester Institute of Technology"},{"name":"Sujan Dutta","slug":"sujan-dutta","given":"Sujan","family":"Dutta","affiliation":"Rochester Institute of Technology"},{"name":"Ashiqur R. KhudaBukhsh","slug":"ashiqur-r-khudabukhsh","given":"Ashiqur R.","family":"KhudaBukhsh","affiliation":"Rochester Institute of Technology"}],"abstract":"In this paper, we present a computational analysis of the Persian language Twitter discourse with the aim to estimate the shift in stance toward gender equality following the death of Mahsa Amini in police custody. We present an ensemble active learning pipeline to train a stance classifier. Our novelty lies in the involvement of Iranian women in an active role as annotators in building this AI system. Our annotators not only provide labels, but they also suggest valuable keywords for more meaningful corpus creation as well as provide short example documents for a guided sampling step. Our analyses indicate that Mahsa Amini's death triggered polarized Persian language discourse where both fractions of negative and positive tweets toward gender equality increased. The increase in positive tweets was slightly greater than the increase in negative tweets.  We also observe that with respect to account creation time, between the state-aligned Twitter accounts and pro-protest Twitter accounts, pro-protest accounts are more similar to baseline Persian Twitter activity.","doi":"10.24963/ijcai.2023/667","url":"https://ijcai.org/proceedings/2023/667","pdf":"https://ijcai.org/proceedings/2023/0667.pdf","markdown":"https://ijcai.org/proceedings/2023/667.md","bibtex":"https://ijcai.org/proceedings/2023/bibtex/667","volume":{"slug":"2023","title":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2023","url":"https://ijcai.org/proceedings/2023/","year":2023,"location":"Macao, SAR","dates":"19-25 August 2023","editors":"Edith Elkind","isbn":"978-1-956792-03-4","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2023"},"section":"AI for Good","track":"AI for Good","number":667,"pages":{"first":6013,"last":6021},"keywords":["AI for Good: Multidisciplinary Topics and Applications","AI for Good: Natural Language Processing","AI for Good: Machine Learning"],"videos":[],"references":[{"position":1,"raw":"[Abtahi et al., 2022] Zahra Abtahi, Leila Zahedi, Zarrin Eizadyar, and Nicole M Fava. # bluegirl: A study of collective trauma on twitter. 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