How to Compare the Scientific Contributions between Research Groups

We present a method to analyse the scientific contributions between research groups. Given multiple research groups, we construct their journal/proceeding graphs and then compute the similarity/gap between them using network analysis. This analysis can be used for measuring similarity/gap of the topics/qualities between research groups' scientific contributions. We demonstrate the practicality of our method by comparing the scientific contributions by Korean researchers with those by the global researchers for information security in 2006 - 2008. The empirical analysis shows that the current security research in South Korea has been isolated from the global research trend

Countering Anti-Vaccination Rumors on Twitter

This study examined the effects of the counter-rumor on changes in the belief about the anti-vaccination claim, anxiety associated with the rumor, intentions to vaccinate a child and share the rumor. Particularly, we tested whether argument strength, source expertise, as well as the recipient’s previously held attitude toward vaccination, could affect these outcomes. First, the pilot tests were conducted to check source expertise (N = 161) and argument strength (N = 74; N = 73) and select sources and messages used in the experiment. A 2 (argument strength: strong vs. weak) x 2 (expertise source: high vs. low) between-subjects factor experimental design was employed, and we conducted an online experiment (N = 400) set up in the Qualtrics. Participants were recruited via Prolific, a crowdsourcing website. The results showed that attitude toward mandatory vaccination had an impact on the change in the belief about the anti-vaccination claim. We also found that source expertise had a significant impact on the change in anxiety. Those who read the counter-rumor from CDC reported greater decrease in their anxiety than those who read the counter-rumor from a layperson user. This finding suggests that heuristic processing occurs in the reception of the anti-vaccination rumor and the counter-rumor that refutes the claim, such that people are less likely to feel anxious about the anti-vaccination rumor when they receive the counter-rumor from high expertise source. Furthermore, the results showed a significant interaction between argument strength and source expertise on the change in vaccination intention. When participants read the counter-rumor from CDC, they reported greater increase in their intention to vaccinate a child in response to the strong argument than they did in response to the weak argument. On the contrary, when they read the counter-rumor from a layperson user, the opposite pattern appeared, such that they reported greater increase in their vaccination intention in response to the weak argument than they did in response to the strong argument. This finding reveals that cue-message congruency plays a crucial role in increasing the effectiveness of the counter-rumor and promoting behavioral change. The theoretical implications of the current findings are discussed in light of cognitive dissonance theory, the dual-process model of information processing, and online rumor literature. The practical implications of the findings are further discussed with regard to designing strategies and interventions that mitigate the harmful consequences of health-related rumors

Hybrid Spam Filtering for Mobile Communication

Spam messages are an increasing threat to mobile communication. Several mitigation techniques have been proposed, including white and black listing, challenge-response and content-based filtering. However, none are perfect and it makes sense to use a combination rather than just one. We propose an anti-spam framework based on the hybrid of content-based filtering and challenge-response. There is the trade-offs between accuracy of anti-spam classifiers and the communication overhead. Experimental results show how, depending on the proportion of spam messages, different filtering %%@ parameters should be set.Comment: 6 pages, 5 figures, 1 tabl

Towards a feasible income equality

To reach perfect income equality, factors that determine individual income, such as intelligence, inherited wealth, personalities, and social skills, should be identical for everyone. That is an infeasible ideal. Chae Un Kim and Ji-Won Park propose a more feasible and realistic concept of income equality that could be incorporated in the Gini coefficient, the most widely used measure of inequality, guaranteeing the maximisation of overall social welfare without hampering overall economic efficacy

Application of Depth-Averaged 2D Numerical Model for Evaluation of the Vegetal Resistance in a Natural River

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv