Online Library

This study examines how individuals’ exposure to ISIS-related propaganda affects public sympathy for ISIS. We examine the extent that each type of communication channel (e.g. online media, traditional offline media, and in-person interactions) affects an individual’s perceptions of ISIS. We use a nationally representative sample (N = 1,609) from Turkey, which has played an important role during the rise and fall of ISIS with its unique geographical, social, and political position. The findings suggest a significant relationship between exposure to in-person propaganda and having sympathy for ISIS. However, this relationship does not exist for online and traditional media propaganda.

Cyberterrorism and cybercrime present new challenges for law enforcement and policy makers. Due to its transnational nature, a real and sound response to such a threat requires international cooperation involving participation of all concerned parties in the international community. However, vulnerability emerges from increased reliance on technology, lack of legal measures, and lack of cooperation at the national and international level represents real obstacle toward effective response to these threats. In sum, lack of global consensus in terms of responding to cyberterrorism and cybercrime is the general problem. Terrorists and cyber criminals will exploit vulnerabilities, including technical, legal, political, and cultural. Such a broad range of vulnerabilities can be dealt with by comprehensive cooperation which requires efforts both at the national and international level. “Vulnerability-Comprehensive Cooperation-Freedom Scale” or “Ozeren Scale” identified variables that constructed the scale based on the expert opinions. Also, the study presented typology of cyberterrorism, which involves three general classifications of cyberterrorism; Disruptive and destructive information attacks, Facilitation of technology to support the ideology, and Communication, Fund raising, Recruitment, Propaganda (C-F-R-P). Such a typology is expected to help those who are in a position of decision-making and investigating activities as well as academicians in the area of terrorism. The matrix for international cooperation and vulnerability assessment is expected to be used as a model for global response to cyberterrorism and cybercrime.

In this article, we conduct a comprehensive study of online antagonistic content related to Jewish identity posted on Twitter between October 2015 and October 2016 by UK-based users. We trained a scalable supervised machine learning classifier to identify antisemitic content to reveal patterns of online antisemitism perpetration at the source. We built statistical models to analyze the inhibiting and enabling factors of the size (number of retweets) and survival (duration of retweets) of information flows in addition to the production of online antagonistic content. Despite observing high temporal variability, we found that only a small proportion (0.7%) of the content was antagonistic. We also found that antagonistic content was less likely to disseminate in size or survive for a longer period. Information flows from antisemitic agents on Twitter gained less traction, while information flows emanating from capable and willing counter-speech actors—that is, Jewish organizations—had a significantly higher size and survival rates. This study is the first to demonstrate that Sampson’s classic sociological concept of collective efficacy can be observed on social media (SM). Our findings suggest that when organizations aiming to counter harmful narratives become active on SM platforms, their messages propagate further and achieve greater longevity than antagonistic messages. On SM, counter-speech posted by credible, capable and willing actors can be an effective measure to prevent harmful narratives. Based on our findings, we underline the value of the work by community organizations in reducing the propagation of cyberhate and increasing trust in SM platforms.

In this paper, we conduct a comprehensive study of online antagonistic content related to Jewish identity posted on Twitter between October 2015 and October 2016 by UK-based users. We trained a scalable supervised machine learning classifier to identify antisemitic content to reveal patterns of online antisemitism perpetration at the source. We built statistical models to analyse the inhibiting and enabling factors of the size (number of retweets) and survival (duration of retweets) of information flows in addition to the production of online antagonistic content. Despite observing high temporal variability, we found that only a small proportion (0.7%) of the content was antagonistic. We also found that antagonistic content was less likely to disseminate in size or survive fora longer period. Information flows from antisemitic agents on Twitter gained less traction, while information flows emanating from capable and willing counter-speech actors -i.e. Jewish organisations- had a significantly higher size and survival rates. This study is the first to demonstrate that Sampson’s classic sociological concept of collective efficacy can be observed on social media (SM). Our findings suggest that when organisations aiming to counter harmful narratives become active on SM platforms, their messages propagate further and achieve greater longevity than antagonistic messages. On SM, counter-speech posted by credible, capable and willing actors can be an effective measure to prevent harmful narratives. Based on our findings, we underline the value of the work by community organisations in reducing the propagation of cyberhate and increasing trust in SM platforms.

This chapter analyses the Norwegian authorities’ presence on Twitter during the 22 July 2011 terrorist attacks. Twitter activity by two official institutions is analysed in particular, namely, the blood bank at Oslo University Hospital and the Norwegian Police Security Services (PST). Our findings show that the Norwegian authorities were almost completely absent on Twitter during the critical hours of the terrorist attack, and that there was no coordination and synchronisation of communication from the authorities. This official silence allowed the diffusion of speculation and misinformation to take place; these were neither corrected nor addressed, as the analysed PST case shows. In contrast, the blood bank used Twitter to mobilise blood donors to address an acute problem: a shortage of blood to treat casualties. The chapter concludes by offering recommendations to the authorities for future major incidents. Book edited by Harald Hornmoen and Klas Backholm.

The article analyzes the online humorous practices and discursive conventions of a far-right Russian Telegram community during a sociopolitical crisis. A sample of 130 disparagement jokes is examined to find out how existential uncertainty, created by the outbreak of a full-scale war, affects the far-right humorous othering. The jokes were published in a Local Crew channel a month before and a month after two moments of the most acute sociopolitical upheaval, namely, the declaration of mobilization and the attempted coup by the Wagner Group. The findings demonstrate that, after the war started, the community opted for demonizing the single outgroup while attempting to preserve the coherent ingroup by means of building ingroup appreciation within a pro-military nationalist niche. Additional upheavals were framed as irrelevant, compared to the major identity markers and the general crisis of the war, and did not affect either the community’s rhetoric or the othering patterns.