Emotional Reactions to the Perception of Risk in the Pompeii Archaeological Park

Abstract

The assessment of perceived risk by people is extremely important for safety and security management. Each person is based on the opinion of others to make a choice and the Internet represents the place where these opinions are mostly researched, found and reviewed. Social networks have a decisive impact: 92% of consumers say they have more trust in social media reviews than in any other form of advertising. For this reason, Opinion Mining and Sentiment Analysis have found interesting applications in the most diverse context, among which the most innovative is certainly represented by public safety and security. Security managers can use the perceptions expressed by people to discover the unexpected and potential weaknesses of a controlled environment or otherwise the risk and security perception of people that sometimes can be very different from real level of risk and security of a given site. Since the perceptions are the result of mostly unconscious elaborations, it is necessary to go deeper and to search for the emotions, triggered by the sensorial stimuli, that determine them. The objective of this paper is to study the perception of risk within the Pompeii Archaeological Park, giving emphasis to the emotional components, using the semantic analysis of the textual contents present in Twitter.

Emotional Reactions to Risk Perception in the Royal Palace of Caserta, Italy

“…ARCHEOLOGICAL PARK AND HERCULANEUM ARCHAEOLOGICAL PARK It is interesting to compare the attained results with the results deriving from a similar study done in Pompeii Archaeological Park [3] and Herculaneum Archaeological Park [4], that are shown in Fig. 13.…”

Fake News Identification Using Regression Analysis and Web Scraping

“…For sophisticated text classification, the recent researches include Attention Mechanism [29], LSTM [30], IndRNN [31], Attention-Based Bidirected LSTM [32], Adversarial Training techniques [33], Hierarchical Attention Networks [34], various supervised Techniques like CNN [35], Random Multimodal Deep Learning (RMDL) [36]. The authors of [37] have examined how people perceive risk in the Pompeii Archaeological Park, with a focus on the emotional aspects and the help of a semantic analysis of the textual materials found on Twitter. These techniques have equivalent performances.…”

Sentiment and Emotional Analysis of Risk Perception in the Herculaneum Archaeological Park during COVID-19 Pandemic

“…When visitors are faced with such risks, their opinions on social media tend to be emotional and acute. It is then necessary to reduce the impact of such emotional opinions and thereby lower the perception of risk at these sites [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 ].…”

“…In a modern world of smart cities where Internet of Things (IoT) and Internet of Services (IoS) form part of an ICT (information and communication technology) platform, opinion mining and sentiment analysis extract opinions of contributors, especially on social media, which are typically classified as negative or positive categories. Thus, sentiment analysis has been an active research area in relation to Italian cultural heritage sites [ 6 , 7 , 8 , 9 , 13 , 14 , 15 , 16 ].…”