This paper explores the generation Z (Gen Z) cohort’s self-assessed knowledge regarding the coronavirus disease 2019 (COVID-19) symptoms as well as their interest in acquiring information and learning more about the transmission and spread of the severe acute respiratory syndrome coronavirus 2 (SARS-COV-2 virus) and the COVID-19 symptoms. Additionally, it investigates gender differences in self-assessed knowledge of COVID-19 symptoms. Field research employing a nonprobability sampling method with an online questionnaire resulted in collecting 762 valid questionnaires. Data analysis included descriptive statistics, factor and reliability analysis, and the independent sample t-test. Results reveal that overall symptom knowledge was assessed higher than the self-assessed knowledge of the 13 specific symptoms. No gender differences were detected regarding self-assessed knowledge of the following COVID-19 symptoms: cough, dyspnea, anorexia, productive cough with expectoration (phlegm), headache, and diarrhea. On the other hand, for self-assessed overall knowledge of COVID-19 symptoms, as well as self-assessed knowledge of COVID-19 symptoms related to fever and fatigue, myalgia (muscle pain), pharyngodynia, nausea–vomitus, hemoptysis, and abdominal pain, the t-tests conducted showed that there are statistical differences in knowledge assessment between male and female subjects. Based on the outcomes, the paper provides marketing communication practices targeting this young generation cohort to raise awareness so that Gen Z’ers may react effectively if these symptoms are observed and, thus, request medical assistance.

Instagram is perhaps the most rapidly gaining in popularity of photo and video sharing social networking applications. It has been widely adopted by both end-users and organizations, posting their personal experiences or expressing their opinion during significant events and periods of crises, such as the ongoing COVID-19 pandemic and the search for effective vaccine treatment. We identify the three major companies involved in vaccine research and extract their Instagram posts, after vaccination has started, as well as users’ reception using respective hashtags, constructing the datasets. Statistical differences regarding the companies are initially presented, on textual, as well as visual features, i.e., image classification by transfer learning. Appropriate preprocessing of English language posts and content analysis is subsequently performed, by automatically annotating the posts as one of four intent classes, thus facilitating the training of nine classifiers for a potential application capable of predicting user’s intent. By designing and carrying out a controlled experiment we validate that the resulted algorithms’ accuracy ranking is significant, identifying the two best performing algorithms; this is further improved by ensemble techniques. Finally, polarity analysis on users’ posts, leveraging a convolutional neural network, reveals a rather neutral to negative sentiment, with highly polarized user posts’ distributions.

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This study examines the behavior and attitudes of adult Generation Z cohort members in relation to entomophagy. Specifically, it explores their familiarity with insect consumption, prior experience, and willingness to consume certain insect-based foods and drinks. Lastly, the Z cohort is segmented based on their behavior and attitudes. Through online quantitative research, a valid sample of 742 questionnaires was collected. Data analysis included descriptive statistics, reliability analysis, factor, hierarchical cluster, and K-means cluster analysis, as well as chi-square tests. Results revealed that 41.4% are familiar with what insect consumption is, and no one had previously engaged in entomophagy. The insect-based food that the Z cohort is most willing to try is bakery products containing insect flour. The 88.5% of the Z cohort is not willing to replace meat protein with insect protein, and 20.4% are interested in obtaining more information about entomophagy. Moreover, 6.3% of the Z cohort is “willing” to participate in sensory tests, but when contact information was requested, only one factual name with phone number was provided. Segmentation of the Z cohort’s behavior was performed based on eight variables and four segments were identified: the “Future potential insect consumers” (29.1%), the “Rejecters” (26.7%), the “Disgusted, prefer to starve” (22.2%), and the “Inconsistent” (22.0%). Overall, the Z cohort is not food neophobic, but is unwilling to engage in entomophagy. Communication strategies are suggested to increase awareness and provide information about entomophagy and its benefits.

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