‘ShishuShurokkha’: A Transformative Justice Approach for Combating Child Sexual Abuse in Bangladesh

Sultana, Sharifa; Pritha, Sadia Tasnuva; Tasnim, Rahnuma; Das, Anik; Akter, Rokeya; Hasan, Shaid; Alam, S.M. Raihanul; Kabir, Muhammad Ashad; Ahmed, Syed Ishtiaque

doi:10.1145/3491102.3517543

Cited by 9 publications

(10 citation statements)

References 106 publications

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“…The current social networks are regularly misused to post or spread CSA messages, comments and chat conversation. Hence, the 24 research papers [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [24], [25], [27], [28], [29], [30], [31], [32], [37], [38], [40], [41] and [43] proposed methods to detect, prevent and/or process CSAMs in text format.…”

Section: ) Working On Textmentioning

confidence: 99%

“…Research works in this category involve two expert domain areas: computer science and social sciences. Sociologists studied about: (1) CSAM offenders ( [11], [17]); (2) The effect of perceived informal social control on physical CSA ( [12]); (3) CSA prevention related to parents ( [14], [19]); (4) Association of CSA with culture, race/ethnicity, psychological health and/or risk behaviours ( [13], [15], [18]); (5) Consideration of 'slut pages' as a social form of CSA images ( [16]); (6) Correlation between the Greek Hotline reports and dark webs forum logs ( [24]); (7) How to support victims and identify places unsafe for children ( [37]); and (8) Dark web operation ( [43]).…”

Section: ) Working On Textmentioning

confidence: 99%

“…1) Self-Build: Twenty-one research works [10], [11], [12], [14], [15], [16], [20], [21], [23], [24], [27], [31], [32], [33], [34], [37], [39], [40], [41], [42] and [43] created their own datasets to evaluate and discuss their systems. For example, Quayle [17] collected CSA text from social networks and media sources, namely Facebook, BBC news, Skype, WhatsApp and Instagram.…”

Section: B Datasets Usedmentioning

confidence: 99%

“…Applied Methods 1) Statistical: Statistical analysis of large datasets is a common approach used to discern patterns and trends without bias, enabling us to discover meaningful information from large amounts of raw unstructured data. The 14 papers [12], [13], [15], [16], [17], [18], [19], [24], [33], [34], [37], [40], [42] and [43] used statistical methods to analyse their datasets.…”

Section: B Datasets Usedmentioning

confidence: 99%

“…In [34], the authors studied, measured and analysed CSAM distribution and the exponential increment of CSAM reports. In [37], the data of an online survey and semi-structured interviews was analysed. Some information found included: (1) Location and types of abuse incidents in Bangladesh; (2) The relationship between the abuser and the victims; (3) Challenges in combating CSA.…”

Section: B Datasets Usedmentioning

confidence: 99%

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Investigation, Detection and Prevention of Online Child Sexual Abuse Materials: A Comprehensive Survey

Ngo¹,

Dang²,

Thorpe³

et al. 2023

Preprint

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Child sexual abuse inflicts lifelong devastating consequences for victims and is an ongoing social concern. In most countries, child sexual abuse material (CSAM) distribution is illegal. As a result, there are many research papers in the literature which proposed technologies to detect and investigate CSAM. In this survey, a comprehensive search of the peer-reviewed journal and conference paper databases (including preprints) is conducted to identify high-quality literature. We use the PRISMA methodology to refine our search space to 2,761 papers published by Springer, Elsevier, IEEE and ACM. After iterative reviews of title, abstract and full text for relevance to our topics, 43 papers are included for full review. Our paper provides a comprehensive synthesis of the tasks of the current research and how the papers use techniques and datasets to solve their tasks and evaluate their models. To the best of our knowledge, we are the first to focus exclusively on online CSAM detection and prevention with no geographic boundaries, and the first survey to review papers published after 2018. It can be used by researchers to identify gaps in knowledge and relevant publicly available datasets that may be useful for their research.

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