Terrorism-related Information Research Articles

Evaluate The Role of The Community in Intelligence Gathering on Local Terrorism Activities

Terrorism poses a significant national security threat in Indonesia, exacerbated by the clandestine nature of terrorist networks within society. Harnessing community involvement is pivotal in combating terrorism effectively. This study evaluates the community's role in intelligence gathering pertaining to local terrorist activities. Utilizing qualitative research methods, particularly literature review, the study analyzes data through three key stages: data reduction, presentation, and conclusion drawing. Findings underscore the indispensable contribution of communities in gathering local terrorism intelligence. Unlike conventional channels, communities offer unique insights into terrorist activities inaccessible to law enforcement agencies. However, leveraging community involvement faces challenges and limitations. These include the need for heightened education and training initiatives to enhance community awareness about terrorism. Additionally, fostering trust between communities and law enforcement entities emerges as a critical endeavor. Furthermore, ensuring the safety and protection of individuals reporting terrorism-related information remains imperative for sustained community participation in intelligence-gathering efforts.

Analyzing Newspaper Articles for Text-Related Data for Finding Vulnerable Posts Over the Internet That Are Linked to Terrorist Activities

One of the most critical activities of revealing terrorism-related information is classifying online documents.The internet provides consumers with a variety of useful knowledge, and the volume of web material is increasingly growing. This makes finding potentially hazardous records incredibly difficult. To define the contents, merely extracting keywords from records is inadequate. Many methods have been studied so far to develop automatic document classification systems, they are mainly computational and knowledge-based approaches. due to the complexities of natural languages, these approaches do not provide sufficient results. To fix this shortcoming, we given approach of structure dependent on the WordNet hierarchy and the frequency of n-gram data that employs word similarity. Using four different queries terms from four different regions, this approach was checked for the NY Times articles that were sampled. Our suggested approach successfully removes background words and phrases from the document recognizes connected to terrorism texts, according to experimental findings.

The Communication Characteristics and Intervention of Terrorism-related Public Opinion An Analysis of Manchester Bombing Terrorist Attack

[Purpose / Significance] The crisis of misinformation will increase in 5G.The spread of terrorism-related information in sudden violent and terrorist incidents in social networks has a great impact on national security and counter-terrorism work. The communication characteristics and impact of terrorism-related information is the guarantee of counter-terrorism work. The construction of counter-terrorism intelligence intervention strategy is in line with the scope of national security, which also is the embodiment of the national security governance system and counter-terrorism capabilities. [Methods/Procedures] Based on the social network analysis method and analyzing the communication characteristic of terrorism-related information and the factors of intervention, this paper proposed an intervention mechanism for terror-related information based on online social network. The proposed mechanism consists of three aspects: communication topic, communication structure and opinion leaders. [Results/Conclusion] The study finds out that we should strengthen the role of opinion leaders in information diffusion of news and government media, in terrorist incident, the network structure is loose and free on the whole, the spread of information influences the network structure and interaction. Government should supervise a real-time control on information emotional trend and hot topic according to different types of network structure characteristics, guiding the positive information and cooling down the harmful ones.

Exposure to terrorism-related information on SNSs and life dissatisfaction: The mediating role of depression and moderation effect of social support

The current study focused on the effects of being exposed to terrorism-related information via social networking sites (SNSs) on the life dissatisfaction of individuals. This study examines depression as a mechanism between being exposed to terrorism-related information and life dissatisfaction and social support as a moderator in the relationships of being exposed to terrorism-related information, depression, and life dissatisfaction. A sample of 536 respondents completed a self-administered questionnaire about their exposure to terrorism-related information on SNSs, depression, life dissatisfaction, and social support. Findings showed that exposure to terrorism-related information on SNSs is associated with life dissatisfaction. Furthermore, we found that depression mediates the relationship between exposure to SNSs and life dissatisfaction. Moreover, social support buffers the association of exposure to terrorism-related information with depression and life dissatisfaction. In addition, social support moderates the association between depression and life dissatisfaction.

Information Crimes in the Structure of Russian Extremist and Terrorist Criminal Practice

The presented article is intended to determine the share of information crimes in the чstructure of Russian extremist and terrorist criminal practice and, as a consequence, to propose efficient methods of countering information crimes specifically for combating these crimes in general. The solution to this problem is implemented by applying statistical analysis of official data on criminality metrics supported by legal hermeneutics and sociological methods, combined with a historical approach to the subject. It is discovered that modifications in the legal regulation of information crimes in the Criminal Code have largely led to changes in the number of registered extremist and terrorist crimes in general. The article reveals a significant share of information crimes in the structure of extremist activity. Even after a decrease in 2019, it still accounts for about a third of all extremist crimes. In the structure of terrorist activity about every 10th terrorist crime is an information crime. In the extremist criminal activity and approximately in a half of all terrorist crime cases, illegal information is generally disseminated through the Internet. In approximately 75 % of cases, the extremist or terrorism-related information is disseminated in the Internet by people aged under 30 years old. The vast majority of all convicts are unemployed people without higher education. The system for preventing dissemination of extremist and terrorist information should be retargeted to improve the legal culture, including the value of each social group, as well as the Internet communication culture

DISCOURSE ANALYSIS ON TERRORISM-RELATED ARTICLES IN INDONESIAN ENGLISH-LANGUAGE NEWSPAPER EDITORIALS

This paper examines the discursive construction of terrorism-related information conveyed on the Indonesian newspapers. The Jakarta Post, one of the most notable Indonesian English-language newspapers, have been covering terrorism related encounters in its editorial especially after the 2002 Bali bombing. This paper finds out the use of common definitions and terms as well as the discrepancies in the produced expression related to terrorism and extremism in the editorials the newspaper has published since 2014. It is found that the newspaper has symphatetically portrayed and supported the victims while it represented the perpetrators from their ideological perspectives and separating their ideologies from religious teaching practices in the country. Additionally, the newspaper identifies terrorism as threat to Indonesian democratic values and classifies terrorism as a serious issue endangering the country’s security and social stability. To the latter end, the newspaper suggested policy recommendation while at the same time criticizing the law enforcement for failures and in the end promoting secular values for the country in order to eradicate terrorism.

Online media and trust in government during crisis: The moderating role of sense of security

Trust in government during crisis plays a key role in effective response and maintained resilience. In recent years, online media, including social media platforms such as Weibo and WeChat and news media such as mobile news applications, have been widely adopted by the government in China for communication with the public to promote trust in government during crisis. However, studies of the effect of online media on trust in government during crisis have yielded conflicting results. This study (1) applies dual process theory from psychology to clarify the causal impact of online media on trust in government in the context of terrorism crisis and (2) empirically tests the effect of online media with microlevel empirical evidence. We collected data from 713 local households in the X area of China, which has witnessed terrorist attacks, and applied an ordinal logistic regression model to determine the causal mechanism between online media and trust in government. The study finds that exposure to terrorism-related information in online media has limited impact on trust in government during crisis. Furthermore, sense of security positively moderates the relationship between exposure to terrorism-related information in online media and trust in government during crisis.

Introduction to special issue on terrorism informatics

Since September 11th, the multidisciplinary field of terrorism informatics has experienced tremendous growth, and research communities as well as local, state, and national governments are facing increasingly more complex and challenging issues. The challenges facing the intelligence and national security communities worldwide include accurately and efficiently monitoring, analyzing, predicting and preventing terrorist activities. The development and use of advanced information technologies, including methodologies, models and algorithms, infrastructure, systems, and tools for national/international and homeland security related applications have provided promising new directions for study. Terrorism informatics has been defined as the application of advanced methodologies, information fusion and analysis techniques to acquire, integrate process, analyze, and manage the diversity of terrorism-related information for international and homeland security-related applications (Chen et al. 2008). It is a highly interdisciplinary and comprehensive field. The wide variety of methods used in terrorism informatics are derived from Computer Science, Informatics, Statistics, Mathematics, Linguistics, Social Sciences, and Public Policy, and these methods are involved in the collection of huge amounts of many types of multi-lingual information from varied and multiple sources. Information fusion and information technology analysis techniques, which include data mining, data integration, language translation technologies, and image and video processing, play central roles in the prevention, detection, and remediation of terrorism. The purpose of this special issue is to bring together international researchers, engineers, policy makers, and practitioners working on terrorism informatics as well as related fields such as the organizational and social sciences. We have accepted nine papers that report research in terrorism informatics. They study a variety of topics from terrorist social networks to terrorist Website sophistication, from online forum to Twitter, and from English content to Chinese content. They represent a good mix of multiple disciplines and look at terrorism informatics from different perspectives. The first two papers provide comprehensive reviews of the field, demand, techniques and trends. These papers provide guidelines as what are the interests and challenges in this community. “Tracking and Disrupting Dark Networks: Challenges of Data Collection and Analysis” by Roberts (Roberts 2011) provide challenges of data collection and analysis from within the intelligence community. Various relevant government agencies, their research interests and their ongoing projects on terrorism information collection and analysis are introduced. “Computational Approaches to Suspicion in Adversarial Settings” by Skillicorn 2011 provides a computational framework for adversarial data analysis in the context of crime and terrorism investigations. The author reviewed and discussed three major components including adversary-based data collection and characteristics, the detection techniques that identify suspicious individuals, and the network-based association techniques that find individuals related to a known suspicious individual. The next four papers focus on web content analysis with the last one also addresses web structure analysis to reveal sophistication level of terrorist websites. Two of them look at a new and promising data source: Twitter. “Information Control H. Chen Management Information Systems, University of Arizona, Tucson, AZ, USA

Gender Differences in Fear of Terrorism

Researchers have long been curious about the mismatch between women's fear of crime and their objective risk of victimization. The present research, which examines fear of terrorism, provides a unique opportunity to explore gender differences in reactions to a specific type of violent victimization, terrorism. The article analyzes data collected from a telephone survey of 532 inhabitants from New York and Washington on the topic of reactions to terrorism-related information. Analysis of these data finds that women are more fearful, engage in more avoidance behaviors, and are more likely to seek information in response to terrorism-related information. Moreover, women differ from men in predictors of their terrorism fears as well as engagement in terrorism-related avoidance and information-seeking behaviors. Possible explanations for these results are discussed.

Evaluating the efficacy of a terrorism question/answer system

The TARA Project examined how a trio of modified chatterbots could be used to disseminate terrorism-related information to the general public.