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Social media channels, such as Facebook or Twitter, allow for people to express their views and opinions about any public topics. Public sentiment related to future events, such as demonstrations or parades, indicate public attitude and therefore may be applied while trying to estimate the level of disruption and disorder during such events. Consequently, sentiment analysis of social media content may be of interest for different organisations, especially in security and law enforcement sectors. This paper presents a new lexicon-based sentiment analysis algorithm that has been designed with the main focus on real time Twitter content analysis. The algorithm consists of two key components, namely sentiment normalisation and evidence-based combination function, which have been used in order to estimate the intensity of the sentiment rather than positive/negative label and to support the mixed sentiment classification process. Finally, we illustrate a case study examining the relation between negative sentiment of twitter posts related to English Defence League and the level of disorder during the organisation’s related events.

This roundtable discussion presents a dialogue between digital culture scholars on the seemingly increased presence of hating and hate speech online. Revolving primarily around the recent #GamerGate campaign of intensely misogynistic discourse aimed at women in video games, the discussion suggests that the current moment for hate online needs to be situated historically. From the perspective of intersecting cultural histories of hate speech, discrimination, and networked communication, we interrogate the ontological specificity of online hating before going on to explore potential responses to the harmful consequences of hateful speech. Finally, a research agenda for furthering the historical understandings of
contemporary online hating is suggested in order to address the urgent need for scholarly interventions into the exclusionary cultures of networked media.

Noon Briefing by Stephanie Dujarric, Spokesman for the Secretary General

Why would a terrorist choose to utilize the Internet rather than the usual methods of assassination, hostage taking, and guerrilla warfare? Conway (2006) identified five major reasons why extremist groups used the Internet: virtual community building, information provision, recruitment, financing, and risk mitigation. Terrorist and extremist organizations can use the Internet to increase their visibility and provide information about the group along with its goals without posing an increased risk to the members. It also allows them to easily ask for, and accept, donations through anonymous financial services such as Dark Coins. These benefits allow these groups to promote awareness of their cause, to convey their message to, and perhaps foster sympathy from a much larger pool of potential supporters and converts (Weimann 2010). Finally, the Internet also provides asynchronous services with global access, with the sender and recipient located at any place, at any time, without the need to link up at a specific time (Wagner 2005). In short, unlike the real world, cyberspace is borderless without limitation, and this makes identification, verification, and attribution a challenge.

The terms Deep Web, Deep Net, Invisible Web, or Dark Web refer to the content on the World Wide Web that is not indexed by standard search engines. One can describe the Internet as composed of layers: the “upper” layer, or the Surface Web, can easily be accessed by regular searches. However, “deeper” layers, the content of the Deep Web, have not been indexed by traditional search engines such as Google. Michael K. Bergman who wrote the seminal paper on the Deep Web, compared searching the Internet to dragging a net across the surface of the ocean: a great deal may be caught in the net, but there is a wealth of information that is deeper and therefore missed. In fact, most of the Web’s information is buried far down on sites, and standard search engines are unable to access it.