What’s Going On in Dark Web Question and Answer Forums: Topic Diversity and Linguistic Characteristics

The Dark Web hosts a variety of Q&A forums that facilitate discussions on topics ranging from technical guidance to illicit activities. This study investigates the linguistic and structural characteristics of three prominent Dark Web Q&A forum onion services—Onion1 (Deepweb Questions and Answers), Onion2 (Deep Answers), and Onion3 (Repostas Ocultas)—using a combination of topic modeling and quantitative text analysis. We employ Sklearn (TF-IDF) and Gensim (LDA) to extract and compare dominant topics, alongside metrics of lexical diversity, semantic diversity and syntactic complexity. Our findings reveal significant differences in topic diversity and linguistic patterns across the forums, with Onion1 exhibiting a focus on technical and financial discussions, Onion2 emphasizing community-driven and security-related topics, and Onion3 showing a narrower thematic scope influenced by its structured Q&A format and language-specific content. Statistical analyses, including Kruskal-Wallis tests and Dunn’s post-hoc comparisons, confirm these differences, highlighting the distinct communicative norms and user behaviors of each forum. The results underscore the importance of considering forum-specific characteristics when analyzing Dark Web communities and provide insights into the thematic and linguistic diversity of these platforms.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3597975
Citations
3
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
12.60
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article

What’s Going On in Dark Web Question and Answer Forums: Topic Diversity and Linguistic Characteristics

Adrián Domínguez‐Díaz, Zlatko Stapić, Luis de‐Marcos
3 citations
IEEE Access
Misinformation and Its Impacts
12.60
article

What’s Going On in Dark Web Question and Answer Forums: Topic Diversity and Linguistic Characteristics

Adrián Domínguez‐Díaz, Zlatko Stapić, Luis de‐Marcos
article en
3 citations

Abstract

The Dark Web hosts a variety of Q&A forums that facilitate discussions on topics ranging from technical guidance to illicit activities. This study investigates the linguistic and structural characteristics of three prominent Dark Web Q&A forum onion services—Onion1 (Deepweb Questions and Answers), Onion2 (Deep Answers), and Onion3 (Repostas Ocultas)—using a combination of topic modeling and quantitative text analysis. We employ Sklearn (TF-IDF) and Gensim (LDA) to extract and compare dominant topics, alongside metrics of lexical diversity, semantic diversity and syntactic complexity. Our findings reveal significant differences in topic diversity and linguistic patterns across the forums, with Onion1 exhibiting a focus on technical and financial discussions, Onion2 emphasizing community-driven and security-related topics, and Onion3 showing a narrower thematic scope influenced by its structured Q&A format and language-specific content. Statistical analyses, including Kruskal-Wallis tests and Dunn’s post-hoc comparisons, confirm these differences, highlighting the distinct communicative norms and user behaviors of each forum. The results underscore the importance of considering forum-specific characteristics when analyzing Dark Web communities and provide insights into the thematic and linguistic diversity of these platforms.

IEEE AccessVol. 13
University of Zagreb (HR), Universidad de Alcalá (ES)
Openalex Percentile: Top 2%
Misinformation and Its Impacts
12.60
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