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Research into the international agreements that increase cooperation over cybersecurity challenges is severely lacking. This is a necessary next step for bridging diplomatic challenges over cybersecurity. This work aspires to be push the bounds of research into these agreements and offer a tool that future researchers can rely on. For this research I created, and made publicly available, the International Cybersecurity Cooperation Dataset (ICCD), which contains over 350 international cybersecurity agreements and pertinent metadata. Each agreement is marked per which subtopics within cybersecurity related agreements it covers. These typologies are:
• Discussion and Dialogue
• Research
• Confidence Building Measures
• Incident Response
• Crime
• Capacity Building
• Activity Limiting
• Defense
• Terrorism
Drawing on ICCD and R for summary statistics and significance tests, as well as some quantitative insights, this research explores the relationship between different agreements, organizations, and other possibly related factors. The most significant takeaways from this research are:
1. Governments view cybersecurity in terms of relative advantages and are hesitant to engage competitors with agreements over topics like incident response and capacity building.
2. Authoritarian governments are involved with agreements over controlling or projecting state power and government authority while democratic governments focus on resilience and defense.
3. There are two groupings of authoritarian governments, those with high technical capabilities and those without. Technically capable governments focus on agreements over terrorism, and they also often end up participating in activity limiting agreements. Those without are preoccupied with agreements over criminal activity.
4. Discussion and dialogue agreements tend to accompany agreements over additional topics about one fifth of the time. While policy-makers shouldn’t create a hard rule out of this statistic, it does possibly strengthen an optimistic hypothesis that dialogue consistently leads to agreements.
Hopefully this research invigorates researchers’ interest in studying and understanding when cooperation over cybersecurity is successful or not. Policy-makers will need this knowledge if they are to achieve their goals in an environment that is rapidly increasing in state actors and
complexity

Many extreme right groups have had an online presence for some time through the use of dedicated websites. This has been accompanied by increased activity in social media websites in recent years, which may enable the dissemination of extreme right content to a wider audience. In this paper, we present exploratory analysis of the activity of a selection of such groups on Twitter, using network representations based on reciprocal follower and mentions interactions. We find that stable communities of related users are present within individual country networks, where these communities are usually associated with variants of extreme right ideology. Furthermore, we also identify the presence of international relationships between certain groups across geopolitical boundaries.

This study analyzes how Inspire and Dabiq seek to appeal to and
radicalize English-speaking Muslims. It examines how each magazine
strategically designs ingroup, Other, crisis, and solution constructs and
interplays these via value-, dichotomy-, and crisis-reinforcing
narratives. This analysis also explores how narrative, imagery, and
counternarrative messaging are used to shape readers’ perceptions
and polarize their support. While both magazines are dominated by
narratives designed to empower readers toward action, Inspire relies
heavily on identity-choice appeals while Dabiq tends to balance
identity- and rational-choice messaging. This study concludes by
identifying key lessons for counterterrorism strategic communications
campaign and message design.

Radical right actors routinely use social media to spread highly divisive, disruptive, and anti-democratic messages. Assessing and countering such content is crucial for ensuring that online spaces can be open, accessible, and constructive. However, previous work has paid little attention to understanding factors associated with radical right content that goes viral. We investigate this issue with a new dataset (the ‘ROT’ dataset) which provides insight into the content, engagement, and followership of a set of 35 radical right actors who are active in the UK. ROT contains over 50,000 original entries and over 40 million retweets, quotes, replies and mentions, as well as detailed information about followership. We use a multilevel model to assess engagement with tweets and show the importance of both actor- and content-level factors, including the number of followers each actor has, the toxicity of their content, the presence of media and explicit requests for retweets. We argue that it is crucial to account for role of actors in radical right viral tweets, and therefore, moderation efforts should be taken not only on a post-to-post level but also on an account level.

VOX-Pol Blog Post.