Cite this DOI

Rahul Manche, FNU Samaah, Tejaswini Bollikonda, & Praveen Kumar Myakala (2025). Empowering Safe Online Spaces: AI in Gender Violence Detection and Prevention. *Journal of Science & Technology*, *10*(2), 39–50. https://doi.org/10.46243/jst.2025.v10.i02.pp39-50

@article{rahulmanche2025empowering,
  author    = {Rahul Manche and FNU Samaah and Tejaswini Bollikonda and Praveen Kumar Myakala},
  title     = {{Empowering Safe Online Spaces: AI in Gender Violence Detection and Prevention}},
  journal   = {Journal of Science \& Technology},
  year      = {2025},
  month     = {feb},
  volume    = {10},
  number    = {2},
  pages     = {39--50},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2025.v10.i02.pp39-50},
  url       = {https://doi.org/10.46243/jst.2025.v10.i02.pp39-50},
  abstract  = {Gender-based online violence (GBOV) is a pervasive issue that disproportionately impacts women and marginalized genders, leading to psychological distress, economic consequences, and restricted participation in digital spaces. This article examines how Artificial Intelligence (AI) offers innovative solutions to detect and mitigate GBOV through tools such as sentiment analysis, hate speech detection, image recognition, and behavioral analysis. AI-powered interventions have significantly enhanced the ability to identify harmful content, automate moderation, and empower victims by providing real-time safeguards. Despite these advancements, challenges such as algorithmic bias, privacy concerns, and the evolving tactics of online abuse remain critical obstacles. This study highlights the importance of developing ethical AI systems, fostering multi-stakeholder collaboration, and implementing robust regulatory frameworks to create safer, more equitable online environments for all.}
}

TY  - JOUR
TI  - Empowering Safe Online Spaces: AI in Gender Violence Detection and Prevention
AU  - Rahul Manche
AU  - FNU Samaah
AU  - Tejaswini Bollikonda
AU  - Praveen Kumar Myakala
JO  - Journal of Science & Technology
PY  - 2025
DA  - 2025/02/20/
VL  - 10
IS  - 2
SP  - 39
EP  - 50
PB  - Longman Publishers
SN  - 2456-5660
AB  - Gender-based online violence (GBOV) is a pervasive issue that disproportionately impacts women and marginalized genders, leading to psychological distress, economic consequences, and restricted participation in digital spaces. This article examines how Artificial Intelligence (AI) offers innovative solutions to detect and mitigate GBOV through tools such as sentiment analysis, hate speech detection, image recognition, and behavioral analysis. AI-powered interventions have significantly enhanced the ability to identify harmful content, automate moderation, and empower victims by providing real-time safeguards. Despite these advancements, challenges such as algorithmic bias, privacy concerns, and the evolving tactics of online abuse remain critical obstacles. This study highlights the importance of developing ethical AI systems, fostering multi-stakeholder collaboration, and implementing robust regulatory frameworks to create safer, more equitable online environments for all.
DO  - 10.46243/jst.2025.v10.i02.pp39-50
UR  - https://doi.org/10.46243/jst.2025.v10.i02.pp39-50
ER  -

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    "id": "10.46243/jst.2025.v10.i02.pp39-50",
    "DOI": "10.46243/jst.2025.v10.i02.pp39-50",
    "URL": "https://doi.org/10.46243/jst.2025.v10.i02.pp39-50",
    "title": "Empowering Safe Online Spaces: AI in Gender Violence Detection and Prevention",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
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            "family": "Rahul Manche"
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            "family": "FNU Samaah"
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            "family": "Tejaswini Bollikonda"
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    "volume": "10",
    "issue": "2",
    "page": "39-50",
    "publisher": "Longman Publishers",
    "abstract": "Gender-based online violence (GBOV) is a pervasive issue that disproportionately impacts women and marginalized genders, leading to psychological distress, economic consequences, and restricted participation in digital spaces. This article examines how Artificial Intelligence (AI) offers innovative solutions to detect and mitigate GBOV through tools such as sentiment analysis, hate speech detection, image recognition, and behavioral analysis. AI-powered interventions have significantly enhanced the ability to identify harmful content, automate moderation, and empower victims by providing real-time safeguards. Despite these advancements, challenges such as algorithmic bias, privacy concerns, and the evolving tactics of online abuse remain critical obstacles. This study highlights the importance of developing ethical AI systems, fostering multi-stakeholder collaboration, and implementing robust regulatory frameworks to create safer, more equitable online environments for all.",
    "ISSN": "2456-5660"
}

From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2025.v10.i02.pp39-50 gives all four in one JSON answer.