Online Library

Purpose
With the proliferation of terrorist/extremist websites on the World Wide Web, it has become progressively more crucial to detect and analyze the content on these websites. Accordingly, the volume of previous research focused on identifying the techniques and activities of terrorist/extremist groups, as revealed by their sites on the so-called dark web, has also grown.
Design/methodology/approach
This study presents a review of the techniques used to detect and process the content of terrorist/extremist sites on the dark web. Forty of the most relevant data sources were examined, and various techniques were identified among them.
Findings
Based on this review, it was found that methods of feature selection and feature extraction can be used as topic modeling with content analysis and text clustering.
Originality/value
At the end of the review, present the current state-of-the- art and certain open issues associated with Arabic dark Web content analysis.

The Islamic State of Iraq and Syria (ISIS) has received a tremendous amount of media coverage in the past few years for their successful use of social media to spread their message and to recruit new members. In this work, we leverage access to the full Twitter Firehose to perform a large-scale observational study of one year of ISIS social activity. We quantify the size of ISIS presence on Twitter, the potential amount of support it received, and its collective influence over time. We find that ISIS was able to gain a relatively limited portion from the total influence mass on Twitter and that this influence diminished over time. In addition, ISIS showed a tendency towards attracting interactions from
other similar pro-ISIS accounts, while inviting only a limited anti-ISIS sentiment. We find that 75% of the interactions ISIS received on Twitter in 2015 actually came from eventually suspended accounts and that only about 8% of the interactions they received were anti-ISIS. In addition, we have created a unique dataset of 17 million ISIS-related tweets posted in 2015 which we make available for research purposes upon request.

Terrorist groups like the Islamic State of Iraq and Syria (ISIS) have exploited social media such as Twitter to spread their propaganda and to recruit new members. In this work we study the extent to which ISIS is able to spread their message beyond their immediate supporters. Are they operating in their own sphere with limited interaction with the overall community? Or are they well rooted among normal users? We find that three-quarters of the interactions ISIS received on Twitter in 2015 actually came from eventually suspended accounts raising questions about the potential number of ISIS-related accounts and how organic ISIS audience is. Towards tackling these questions, we have created a unique dataset of 17 million ISIS-related tweets posted in 2015. This dataset is available for research purposes upon request.

The advent of social media has led to an increased concern over its potential to propagate hate speech and misinformation, which, in addition to contributing to prejudice and discrimination, has been suspected of playing a role in increasing social violence and crimes in the United States. While literature has shown the existence of an association between posting hate speech and misinformation online and certain personality traits of posters, the general relationship and relevance of online hate speech/misinformation in the context of overall psychological wellbeing of posters remain elusive. One difficulty lies in the lack of adequate data analytics tools capable of adequately analyzing the massive amount of social media posts to uncover the underlying hidden links. Recent progresses in machine learning and large language models such as ChatGPT have made such an analysis possible. In this study, we collected thousands of posts from carefully selected communities on the social media site Reddit. We then utilized OpenAI’s GPT3 to derive embeddings of these posts, which are high-dimensional real-numbered vectors that presumably represent the hidden semantics of posts. We then performed various machine-learning classifications based on these embeddings in order to understand the role of hate speech/misinformation in various communities. Finally, a topological data analysis (TDA) was applied to the embeddings to obtain a visual map connecting online hate speech, misinformation, various psychiatric disorders, and general mental health.

The notion of women in terrorism pushed its way to the forefront of the American mindset on December 2, 2015, when Tashfeen Malik and her husband, Syed Farook, opened fire at the Inland Regional Center in San Bernardino, California. After the couple killed 14 and injured 22, the growing threat posed by female jihadists in America became immediately apparent to policymakers, law enforcement officials, and the public. Some reports, citing law enforcement officials, claim that Malik pledged allegiance to Islamic State (IS) leader Abu Bakr al-Baghdadi on Facebook the day of the attack.2 IS later praised the couple’s actions in Dabiq, its official English-language magazine, affiliating themselves with the duo.3 Despite these assertions, the FBI’s most recent report has not yet determined a direct link to IS.4 Details about the couple’s path to violence remain buried in an ongoing investigation that may take years to reach the public. In spite of this obstacle, Malik’s case offers exceptional insight into the complex, morphing ventures of jihadist women in America. It is difficult to discern the exact rate at which women participate in jihadist movements in the United States, but the surge in relevant legal cases suggests this figure is on the rise. In the decade following 9/11, only a handful of prominent cases, like that of Aafia Siddiqui5 and Colleen LaRose,6 have shown the threat female jihadists could pose to national security. In recent years, instances of terrorism-related activity perpetrated by women have increased in number. Since 2011, at least 25 known cases of jihadi women with connections to the U.S. have emerged, shedding light on the myriad roles adopted by female jihadists. While few follow in Tashfeen Malik’s footsteps and pursue violent plots, many disseminate propaganda or donate resources to show their support. In some instances, women travel abroad to make direct contributions to a particular group. This report uses a wealth of primary and secondary data to examine the efforts of 25 American jihadi women since 2011.7 The cases offer a tremendous diversity of demographic data, suggesting that an overarching profile of the female jihadist is indiscernible. Moreover, within the dataset, women align themselves with a range of organizations including, but not limited to, IS, al-Shabaab, the Taliban, and al-Qaeda.

Until 2016, Twitter was the online platform of choice for
English-language Islamic State (IS) sympathizers. As a
result of Twitter’s counter-extremism policies – including
content removal – there has been a decline in activity
by IS supporters. This outcome may suggest the company’s
efforts have been effective, but a deeper analysis
reveals a complex, nonlinear portrait of decay. Such observations
show that the fight against IS in the digital
sphere is far from over. In order to examine this change
over time, this report collects and reviews 845,646
tweets produced by 1,782 English-language pro-IS accounts
from February 15, 2016 to May 1, 2017.