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Assessing long-term strategies to effectively counteracting online misogynistic speech using a Delphi-based future scenarios approach

Simone Di Zio et al.

Futures2026https://doi.org/10.1016/j.futures.2026.103773article
AJG 2ABDC B
Weight
0.50

Abstract

This paper addresses the pressing issue of online misogynistic speech, which has proliferated with the widespread use of social media platforms. We examine the role of prosumers in content creation and dissemination, highlighting the dual nature of their engagement. While this participatory dynamic amplifies diverse voices, it also facilitates the spread of offensive and harmful content, contributing to online harassment and misogyny. Recognising the need for effective countermeasures, we explore current strategies and advocate for a comprehensive approach. Situated within a European context, this study is designed to support policymakers, educators, platform regulators, and civil society actors seeking actionable insights to curb the rise of online gender-based hate speech. Our research employs a Delphi-based method to assess present and future counter-actions, facilitating the development of future scenarios. Through this foresight approach, we enhance the understanding of potential interventions and their implications, supporting decision-makers in addressing these complex challenges. From a methodological point of view, the paper contributes to scenario development by introducing several innovations: improved expert panel selection using a bibliometric approach, visualization of Delphi and ranking results through ternary plots, and the generation of narrative scenarios and policy actions using generative AI tools. We hope that the findings will serve as a practical resource for those engaged in the design and implementation of countermeasures against online misogynistic speech. • Offers a European-based analysis of online misogynistic speech and its evolving digital dynamics. • Uses a Delphi-based method to identify and rank future countermeasures. • Builds useful scenarios to support policy and strategies for platform governance. • Proposes methodological tools including bibliometric panel selection and ternary plot visualizations. • Provides practical insights for educators, regulators, and civil society working on digital safety and gender equity.

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https://doi.org/https://doi.org/10.1016/j.futures.2026.103773

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@article{simone2026,
  title        = {{Assessing long-term strategies to effectively counteracting online misogynistic speech using a Delphi-based future scenarios approach}},
  author       = {Simone Di Zio et al.},
  journal      = {Futures},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.futures.2026.103773},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.