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This thesis examines why approximately 700 German foreign fighters traveled to Syria and Iraq between early 2012 and late 2015. It presents the author’s original research on 99 German foreign fighter profiles, examining their preexisting network connections in Germany as well as their biographical availability and integration into German society. The study finds that German foreign fighters are primarily mobilized through traditional social network connections and that the mobilizing network in Germany consists of a nationwide, interconnected, and politically active “Salafist scene.” The project also finds that while Western governments often worry about the looming threat of online radicalization, verifiable examples of purely Internet-based radicalization remain rare.

There is a growing body of evidence that terrorists/terrorist groups have increased their use of the Internet to include a move into online social network environments in their efforts to radicalise and potentially recruit and mobilise new members. Both the US and UK governments acknowledge that not enough is known about this phenomenon and there is an urgent need for more substantive research in the area of terrorists’ use of computer-mediated communication. However, research in this area carries with it some serious ethical and legal concerns that cannot and should not be ignored. UK law makes it difficult for terrorism studies researchers and other academics to conduct this online research without potentially violating the law. With careful consideration of the ethical concerns surrounding the methods of data collection, and knowledge of and adherence to Data Protection laws, along with notification of proposed research to the proper law enforcement office to insure compliance with the UK Terrorism Act, it is however possible to move forward with academic integrity and a reasonable assurance that one will not be charged and prosecuted for violations of the Terrorism Acts.

As social media becomes an integral part of our daily lives, and groups seek to utilize this medium to facilitate activism, understanding the nature of these communications and the impact of the content on the individual user becomes a valid area of interest. When one then considers that extremist and terrorist groups have found social media to be an inexpensive and effective means for communication, radicalization, recruitment and member mobilization, the need for this understanding becomes critical. This research seeks to provide just such an understanding in its examination of Far-Right English Defence League and their use of Facebook during a period of increased activism and online growth. Important elements of this work include an understanding of the legal and ethical issues surrounding the collection of online content, particularly in extremist environments; the role of traditional media in their coverage of the group and whether the comments of the members reflect the group’s mission statement of the characterization of traditional media; the ability to enhance data segregation and analysis through the development and use of specialized software; and most importantly the findings from the data analysis. Contained within these findings is an understanding of the intricacies of online participation in extremist social media. These include insights into overall traffic generation, the use of links within communications and their impact on the member traffic, and how the group narrative put forth by the administrator is reflected in the dialogue of the users. The most important finding was an understanding of individual user participation within the group and how, even with such an inexpensive and pervasive media outlet, activist groups still struggle to overcome the problem of participation. That this knowledge can be applied in a meaningful way in counter extremist and counterterrorism efforts was an interesting and satisfying development.

This dissertation study is a baseline investigation into Iraqi insurgents’ use of YouTube as a strategic communication tool. The study utilized a content analysis of videos from October 28, 2008, to December 1, 2008, for the search term ‘Iraqi resistance’ on YouTube that met stated criteria. Overall framing devices and themes found in the collection of videos were examined. While not a random sample, the collection of videos was selected as a representation of the overall population of Iraqi insurgent videos for the time frame examined. Along with a more open interpretation of frames, the study examined those which may be used to recruit and/or send anti-U.S. sentiment. It builds upon previous research in related areas and applies theory with a focus on Social Identity, Diffusion of Innovation, Cultivation, and Framing in an attempt to explore the phenomenon. The methodological design establishes a baseline for future comparison and study since the topic of Iraqi insurgents’ use of YouTube has yet to be examined extensively in the academic arena. Overall, there were 54 videos that met set criteria examined for this study. Of these, most were documentary attacks. While there were 28 Iraqi insurgent groups represented in the videos, only 4 Iraqi insurgent groups were identified in five or more videos. These were Islamic State of Iraq (25.9%, n=14), Iraqi Resistance (24.2%, n=13), Ansar al-Islam (18.5%, n=10), and Jaish al-Mujahideen (13%, n=7). Two of these four groups have a media arm devoted to creating their video content and acting as a media representative to the public and members of the group. There was not a large difference in quality or appeals used between groups with and without a media arm. Analysis of the data suggested Iraqi insurgent groups are using YouTube to recruit and send Anti-U.S. sentiment. There was a presence of several framing devices some of which included religious, nationalistic, anti-U.S., intimidation, and defenses. Overall, videos in the sample had a large presence of violence depicted, especially against U.S. military members.

Non-profits, as well as the media, have hypothesized the existence of a radicalization pipeline on YouTube, claiming that users systematically progress towards more extreme content on the platform. Yet, there is to date no substantial quantitative evidence of this alleged pipeline. To close this gap, we conduct a large-scale audit of user radicalization on YouTube. We analyze 330,925 videos posted on 349 channels, which we broadly classified into four types: Media, the Alt-lite, the Intellectual Dark Web (I.D.W.), and the Alt-right. According to the aforementioned radicalization hypothesis, channels in the I.D.W. and the Alt-lite serve as gateways to fringe far-right ideology, here represented by Alt-right channels. Processing 72M+ comments, we show that the three channel types indeed increasingly share the same user base; that users consistently migrate from milder to more extreme content; and that a large percentage of users who consume Alt-right content now consumed Alt-lite and I.D.W. content in the past. We also probe YouTube’s recommendation algorithm, looking at more than 2M video and channel recommendations between May/July 2019. We find that Alt-lite content is easily reachable from I.D.W. channels, while Alt-right videos are reachable only through channel recommendations. Overall, we paint a comprehensive picture of user radicalization on YouTube.

Hateful speech in Online Social Networks (OSNs) is a key challenge for companies and governments, as it impacts users and advertisers, and as several countries have strict legislation against the practice. This has motivated work on detecting and characterizing the phenomenon
in tweets, social media posts and comments. However, these approaches face several shortcomings due to the noisiness of OSN data, the sparsity of the phenomenon, and the subjectivity of the definition of hate speech. This works presents a user-centric view of hate speech, paving the way for better detection methods and understanding. We collect a Twitter dataset of 100, 386 users along with up to 200 tweets from their timelines with a randomwalk-based crawler on the retweet graph, and select a subsample of 4, 972 to be manually annotated as hateful or not through crowdsourcing. We examine the difference between user activity patterns, the content disseminated between hateful and normal users, and network centrality measurements in the sampled graph. Our results show that hateful users have more recent account creation dates, and more statuses, and followees per day. Additionally, they favorite more tweets, tweet in shorter intervals and are more central in the retweet network, contradicting the “lone wolf” stereotype often associated with such behavior. Hateful users are more negative, more profane, and use less words associated with topics such as hate,
terrorism, violence and anger. We also identify similarities between hateful/normal users and their 1-neighborhood, suggesting strong homophily.