Feminicide and counterdata production: Activist efforts to monitor and challenge gender-related violence

D’Ignazio, Catherine; Cruxên, Isadora Araújo; Val, Helena Suárez; Cuba, Angeles Martinez; García-Montes, Mariel; Fumega, Silvana; Suresh, Harini; So, Wonyoung

doi:10.1016/j.patter.2022.100530

Cited by 9 publications

(4 citation statements)

References 50 publications

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“…Official feminicide data are generated by government institutions, typically sourced from administrative records and reports from police and law enforcement agencies. Citizen-led data – also framed as ‘counterdata’ (D’Ignazio et al, 2022) or ‘data activism’ (Milan and Gutiérrez, 2015) – are generated by engaged civil society using a variety of sources, including news media reports. Citizen-led data against feminicide aim to account for what has yet to be counted by official means (D’Ignazio, 2024; Madrigal et al, 2019; Mobayed Vega, 2022).…”

Section: Querying Feminicide Data In Mexicomentioning

confidence: 99%

Querying feminicide data in Mexico

Mobayed Vega,

Gargiulo

2024

International Sociology

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The full extent of feminicide in Mexico remains unknown. When available, data on the gender-related killing of women and girls are often incomplete, inaccurate, or inexplicable. In this article, a sociologist (Saide) and a statistician (Maria) query feminicide data in Mexico. Drawing on Timnit Gebru et al.’s ‘datasheets for datasets’ and Sarah Holland et al.’s ‘data nutrition label’ frameworks, we zoom in on the two primary governmental sources measuring feminicide in the country, the mortality records processed by the Instituto Nacional de Estadística, Geografía e Informática (INEGI) and the alleged feminicide investigation files published by the Secretariado Ejecutivo del Sistema Nacional de Seguridad Pública (SESNSP). In the discussion, we shed light on two noteworthy remarks. First, the discordance between INEGI and SESNSP data, whereby we outline four crucial variations: naming, underreporting, comparability, and availability. Second, the shortcomings of these data sources in measuring feminicide as we understand it sociologically. In other words, neither explicitly gauge the ‘gender-related’ motivation underlying the crime. Instead, what data from INEGI and SESNSP currently provide us with are discordant approximations of the phenomenon, aligning with what Sandra Walklate and Kate Fitz-Gibbon define as ‘thin’ feminicide counts. This contribution seeks to act as a guide to better understand feminicide data in Mexico, to enhance effective communication between data creators and users concerned with data-making practices, and to ignite the querying of data engaging with social justice and accountability against feminicide and beyond.

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Section: Querying Feminicide Data In Mexicomentioning

confidence: 99%

Querying feminicide data in Mexico

Mobayed Vega,

Gargiulo

2024

International Sociology

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“…Recently, researchers and data activists have noted that the dominant data stewardship models, such as the FAIR principles, do not sufficiently acknowledge the systemic ways in which societal forces shape data practices (Carroll et al, 2021; Carroll, Garba, et al, 2020; D’Ignazio et al, 2022). The CARE principles seek to complement a data-centric view embedded in mainstream data stewardship frameworks by explicitly bringing an equity lens to data governance and management through the four main principles of Collective benefit , Authority to control , Responsibility , and Ethics (Carroll et al, 2021; Carroll, Garba, et al, 2020).…”

Section: Implications Of Findable Accessible Interoperable and Reusab...mentioning

confidence: 99%

Building School Data Equity, Infrastructure, and Capacity Through FAIR Data Standards: Findable, Accessible, Interoperable, and Reusable

Bowers

Choi

2023

Educational Researcher

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Despite increasing calls to build equitable data infrastructures, the education field has yet to have a shared guideline around equitable education data management and stewardship. To address this gap, we propose one framework from the data governance literature: the FAIR (Findable, Accessible, Interoperable, Reusable) data management principles complemented by the CARE (Collective benefits, Authority to control, Responsibility, Ethics) principles. We argue that making education data Findable, Accessible, Interoperable, and Reusable (FAIR) is a matter of equity and central to equity-focused data reuse. We illustrate the importance of FAIR education data by synthesizing our research experience and literature at the intersection of data governance and equity-focused data use.

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“…Ever since the term was formally coined in 1976 (Russell, 1976), there have been debates about the roots of the phenomenon, its intersectional nature, and the ways in which it should be conceptualised (Campbell and Runyan, 1998; Corradi et al, 2016; Dawson and Mobayed Vega, 2023; Walby et al, 2017). Recent scholarly work often focuses on the measurement of femicide and its methodological challenges (Dawson and Carrigan, 2021; Giesbrecht et al, 2023; Walby et al, 2017), risk factors and danger assessment (Campbell et al, 2007), legal frameworks and law enforcement (Pasinato and de Ávila, 2022), and activism and data production (D’Ignazio et al, 2022). Understandably, most of the literature has focused on victims and survivors.…”

Section: Introductionmentioning

confidence: 99%

Fear, helplessness, pain, anger: The narrated emotions of intimate femicide perpetrators in Latin America

Di Marco,

Sandberg

2024

International Sociology

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While studies of femicide perpetrators have focused on background factors, such as criminal history and mental health conditions, little attention has been paid to their individual experiences. Perpetrators emotions and sense-making have often been overlooked and even dismissed. With a micro-sociological approach to violence, we identify the narrated emotions involved in the perpetration of intimate femicide. The data gathered are based on 33 open-ended interviews with convicted male perpetrators from Argentina, Bolivia, Brazil, Chile, Honduras, Mexico, and Venezuela. We identify four main emotions reflecting participants’ experiences of femicide: Fear, expressed through stories of women as threats to self, family, and community; helplessness, expressed through stories of men being trapped, judged, and persecuted; and pain, connected to stories of jealousy and belittlement. These lead to anger, expressed through stories of bodily reactions and losing control. The findings indicate that intimate femicide perpetrators resort to lethal violence to regulate self-worth and remediate actions they feel were disruptive. Our research demonstrates the importance of embodied and narrated emotions to understand femicides. We argue that viewing femicide as a product of a shared pervasive emotional economy highlights the role of emotions in maintaining a gendered social order.

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Feminicide and counterdata production: Activist efforts to monitor and challenge gender-related violence

Cited by 9 publications

References 50 publications

Querying feminicide data in Mexico

Querying feminicide data in Mexico

Building School Data Equity, Infrastructure, and Capacity Through FAIR Data Standards: Findable, Accessible, Interoperable, and Reusable

Fear, helplessness, pain, anger: The narrated emotions of intimate femicide perpetrators in Latin America

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