# A Web Interface for Analyzing Hate Speech
## 3 Results
### Analysis and Usability Evaluation Results  
The web interface was developed during the last year, while critical alpha evaluation tests were conducted inside the research team. Furthermore, the implemented interface was subjected to a beta assessment process by experts in the scientific fields of web design, web graphics, etc., aiming at the detection and correction of problematic aspects/ flaws at an early stage. Consequently, the final step of the evaluation was the conducted broadened empirical survey via the formulated questionnaire of Section 2.4, while in this section the extracted results are presented. Specifically, Figure 5 exhibits the responses regarding the suitability of the web interface towards the hate speech and sentiment loads detection mechanisms in text data, gathering 75% of agree/strongly agree evaluation score. As Table 5 presents, the eight evaluation factors are constituted by various numbers of items, therefore for homogeneity and statistical purposes, the average scores of the Likert-scaled items were computed for each metric. Table 5 exhibits the mean and standard deviation values of the assessment factors based on the responses of the \(n=64\) participants. The results showed that in all aspects the web interface grades are prone to four with a lower to one standard deviation, therefore indicating a well-designed web interface, with increased usability, presenting comprehensive content, navigation, and interaction mechanisms, and being easy-to-learn. Of course, these general results are further processed towards the determination of inner class correlations and group scores differentiations to address the defined research questions of the survey. Figure 5: Responses to the suitability of the PHARM interface. One of the main concerns for the effective engagement of users into a web interface is their knowledge background, possible previous experience in similar services, etc. Therefore, while addressing RQ1, the evaluation metrics were examined in relation with computer and Internet familiarity of the implicated users, towards the extraction of meaningful results. Taking into consideration that the factors of computer familiarity and Internet familiarity are answered in a 5-level Likert scale, the subjective judgment of knowledge background is unavoidably inserted in the statistical analysis. Because of possible error propagation due to the moderate number of participants and also the preliminary nature of the conducted survey, the responses in these two factors are grouped into two major categories. Specifically, the recoded categories are poor familiarity (including Answers 1 and 2) and good familiarity (including Answers 4 and 5), leaving out the moderate/ ambiguous level of computer and Internet familiarity (Level 3 in Likert scale), therefore functioning in a binary mode. Taking into consideration the continuous-form variables of the evaluation factors and the nominal two-scaled grouping of computer and Internet familiarity items, the statistical analysis proceeded into independent samples \(t\)-test methods, in order to compute the average scores differentiations of the assessment values into the formulated groups of participants. Figure 6 graphically exhibits the crosstabulation matrices of average evaluation scores of the groups, while Table 6 presents the calculated values of the conducted \(t\)-tests, with significance level a = 0.05. In this context, statistically significant differentiations in average scores between groups were computed for usability, learnability, navigation in the computer familiarity groups, while only for the first two ones in the Internet familiarity groups. Because of the specific contribution of the PHARM Project in hate speech detection in textual data, affecting public news and awareness, the second research question (RQ2) refers to the assessment of the web interface from participants that work (or have worked) in journalism compared to simple users with other professions.