One major problem with cyberbullying research is the lack of data, since researchers are traditionally forced to rely on survey data where victims and perpetrators self-report their impressions. In this paper, an automatic data collection system is presented that continuously collects in-game chat data from one of the most popular online multi-player games: World of Tanks. The data was collected and combined with other information about the players from available online data services. It presents a scoring scheme to enable identification of cyberbullying based on current research. Classification of the collected data was carried out using simple feature detection with SQL database queries and compared to classification from AI-based sentiment text analysis services that have recently become available and further against manually classified data using a custom-built classificationclient built for this paper. The simple SQL classification proved to be quite useful at identifying some features of toxic chat such as the use of bad language or racist sentiments, however the classification by the more sophisticated online sentiment analysis services proved to be disappointing. The results were then examined for insights into cyberbullying within this game and it was shown that it should be possible to reduce cyberbullying within the World of Tanks game by a significant factor by simply freezing the player's ability to communicate through the in-game chat function for a short period after the player is killed within a match. It was also shown that very new players are much less likely to engage in cyberbullying, suggesting that it may be a learned behaviour from other players.
The way we are sharing health and care data will be changing considerably over the years to come. One of the reasons is an increasing move towards patient-centric approaches where services are built around the citizens, rather than citizens integrate with the existing health and social care system. Often our health and social care services have evolved as separate entities where data around the citizen cannot be shared in a structured, safe and secure manner, and thus we often have non-integrated care systems. This lack of integration in the United Kingdom (UK) and in many other countries involves a lack of sharing between primary and secondary health care, but also spans to social care and relevant third sector organisations.The healthcare domain and the inter-domain space between healthcare and relevant third party domains such as social care are high-risk area for data sharing. Healthcare data are notably the most desired data by hackers which are valued 10 times the value of credit card information on the black market [1]. There is an increasing requirement for strong cybersecurity practices, such as for cryptography
Web browsers are one of the most used applications on every computational device in our days. Hence, they play a pivotal role in any forensic investigation and help determine if nefarious or suspicious activity has occurred on that device. Our study investigates the usage of private mode and browsing artefacts within four prevalent web browsers and is focused on analyzing both hard disk and random access memory. Forensic analysis on the target device showed that using private mode matched each of the web browser vendors’ claims, such as that browsing activity, search history, cookies and temporary files that are not saved in the device’s hard disks. However, in volatile memory analysis, a majority of artefacts within the test cases were retrieved. Hence, a malicious actor performing a similar approach could potentially retrieve sensitive information left behind on the device without the user’s consent.
This paper outlines a method of analysing the outcomes for care using evaluation metrics based on the IoRN assessment method. The contribution this paper provides is identifying the sociopolitical drivers for change within the healthcare system, proposing a method of patient outcome and performance improvement to address the requirements of those drivers.
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