• Journal of Preventive Medicine and Public Health
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• v.54 no.1
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• pp.22-30
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• 2021

Objectives: The coronavirus disease 2019 (COVID-19) pandemic is a public health emergency posing unprecedented challenges for health authorities. Social media may serve as an effective platform to disseminate health-related information. This study aimed to assess the extent of social media use, its impact on preventive behavior, and negative health effects such as cyberchondria and information overload. Methods: A cross-sectional observational study was conducted between June 10, 2020 and August 9, 2020 among people visiting the outpatient department of the authors' institution, and participants were also recruited during field visits for an awareness drive. Questions were developed on preventive behavior, and the Short Cyberchondria Scale and instruments dealing with information overload and perceived vulnerability were used. Results: The study recruited 767 participants with a mean age of about 45 years. Most of the participants (>90%) engaged in preventive behaviors, which were influenced by the extent of information received through social media platforms (β=3.297; p<0.001) and awareness of infection when a family member tested positive (β=29.082; p<0.001) or a neighbor tested positive (β=27.964; p<0.001). The majority (63.0%) of individuals often searched for COVID-19 related news on social media platforms. The mean±standard deviation scores for cyberchondria and information overload were 9.09±4.05 and 8.69±2.56, respectively. Significant and moderately strong correlations were found between cyberchondria, information overload, and perceived vulnerability to COVID-19. Conclusions: This study provides evidence that the use of social media as an information- seeking platform altered preventive behavior. However, excessive and misleading information resulted in cyberchondria and information overload.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.119-138
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• 2017

Recently, SNS has become an important channel for marketing as well as personal communication. However, cybercrime has also evolved with the development of information and communication technology, and illegal advertising is distributed to SNS in large quantity. As a result, personal information is lost and even monetary damages occur more frequently. In this study, we propose a method to analyze which sentences and documents, which have been sent to the SNS, are related to financial fraud. First of all, as a conceptual framework, we developed a matrix of conceptual characteristics of cybercriminality on SNS and emergency management. We also suggested emergency management process which consists of Pre-Cybercriminality (e.g. risk identification) and Post-Cybercriminality steps. Among those we focused on risk identification in this paper. The main process consists of data collection, preprocessing and analysis. First, we selected two words 'daechul(loan)' and 'sachae(private loan)' as seed words and collected data with this word from SNS such as twitter. The collected data are given to the two researchers to decide whether they are related to the cybercriminality, particularly financial fraud, or not. Then we selected some of them as keywords if the vocabularies are related to the nominals and symbols. With the selected keywords, we searched and collected data from web materials such as twitter, news, blog, and more than 820,000 articles collected. The collected articles were refined through preprocessing and made into learning data. The preprocessing process is divided into performing morphological analysis step, removing stop words step, and selecting valid part-of-speech step. In the morphological analysis step, a complex sentence is transformed into some morpheme units to enable mechanical analysis. In the removing stop words step, non-lexical elements such as numbers, punctuation marks, and double spaces are removed from the text. In the step of selecting valid part-of-speech, only two kinds of nouns and symbols are considered. Since nouns could refer to things, the intent of message is expressed better than the other part-of-speech. Moreover, the more illegal the text is, the more frequently symbols are used. The selected data is given 'legal' or 'illegal'. To make the selected data as learning data through the preprocessing process, it is necessary to classify whether each data is legitimate or not. The processed data is then converted into Corpus type and Document-Term Matrix. Finally, the two types of 'legal' and 'illegal' files were mixed and randomly divided into learning data set and test data set. In this study, we set the learning data as 70% and the test data as 30%. SVM was used as the discrimination algorithm. Since SVM requires gamma and cost values as the main parameters, we set gamma as 0.5 and cost as 10, based on the optimal value function. The cost is set higher than general cases. To show the feasibility of the idea proposed in this paper, we compared the proposed method with MLE (Maximum Likelihood Estimation), Term Frequency, and Collective Intelligence method. Overall accuracy and was used as the metric. As a result, the overall accuracy of the proposed method was 92.41% of illegal loan advertisement and 77.75% of illegal visit sales, which is apparently superior to that of the Term Frequency, MLE, etc. Hence, the result suggests that the proposed method is valid and usable practically. In this paper, we propose a framework for crisis management caused by abnormalities of unstructured data sources such as SNS. We hope this study will contribute to the academia by identifying what to consider when applying the SVM-like discrimination algorithm to text analysis. Moreover, the study will also contribute to the practitioners in the field of brand management and opinion mining.

• Korean Journal of Hospice Care
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• v.2 no.1
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• pp.58-74
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• 2002

This paper constitutes a descriptive investigation and used a structured questionnaire to investigate nurses' and doctors' recognition of cancer patients. The subjects were extracted from the medical personnel working at the internal medicine, the surgery ward, the obstetrics and gynecology department, the pediatrics department, the cancer ward, and the emergency room of five general hospitals located in Seoul and Gyeonggi Province. The research lasted from August, 2001 to September 2001. Total 137 nurses and 65 doctors were included and made out the questionnaires directly distributed by the investigator. The study tool was also developed by the investigator and consisted of such items as the demographic and social characteristics, the medical personnel's recognition degree of cancer and cancer patients, their recognition of the management of cancer patients, and their participation in a hospice. The results were analyzed using the SPSS Window program in terms of technological statistics, ranks, t-test, and ANOVA. The reliability was represented in Cronbach' α=.75. The nurses' and doctors' recognition degree of cancer and cancer patients had an overall average of 3.86 at the 5 point-scale. The items that received an average of 4.0 or more included 'Medical personnel should explain about the cancer cure plans to the cancer patient and his or her family', 'A patient whose case has been diagnosed as a terminal cancer should be notified of it, 'If I were a cancer patient, I would want to get informed of it,' and 'Cancer shall be conquered whenever it is'. In the meantime, the items that received an average of 3.0 or less was 'My relationship with the cancer patient's family has gotten worse since I announced his or her impending death.' And according to the general characteristics and the difference test, the recognition degree of cancer and cancer patient was high among the subgroups of nurses, females, married persons, who were in their 30s, who had a family member that was a cancer patient, and who received a hospice education. The biggest number of the nurses and doctors saw 'a gradual approach over several days'(68.8%) as a method to tell a cancer patient about his or her cancer diagnosis or impending death. Those who usually tell tragic news were the physician in charge(62.8%), the family members or relatives(32.1%) and the clergymen(3.8%) in the order. The greatest number of them recommended a cancer patient's home as the place where he or she should face death because they thought 'it would stabilize his or her mentality'(91.9%) while a number of them recommended the hospital because they 'should give the psychological satisfaction to the patient'(40%) or 'should try their best until the last moment of the patient's death'(30%). A majority of the medical personnel regarded 'smoking or drinking' and 'diet' as the causes of cancer. The biggest symptom of a cancer patient was 'pain' and the pain management of a cancer patient was mostly impeded by the 'excessive fear of drug addiction, tolerance to drugs and side effects of drugs' by medical personnel, the patient, and his or her family. The most frequently adopted treatment plan of a terminal cancer patient was 'to do whatever the patient or his or her family wants' to resort to a hospice' and 'to continue active treatment efforts' in the order. The biggest reasons why a terminal cancer patient went to see a doctor were 'pain alleviation' 'control of symptoms other than pain(intravenous supply)' and 'incapability of the patient's family' in the order. Terminal cancer patients placed their major concern in 'spiritual(religious) matter' 'emotional matters' their family' 'existence' and 'physical matters' in the order. 113(58.5%) of the whole medical personnel answered they 'would recommend' an alternative treatment to a terminal cancer patient mostly because they assumed it would 'stabilize the patient's mentality.' Meanwhile, 80(41.5%) of them chose 'not to recommend it mostly due to the unverified effects and high cost of it(78.7%). A majority of them, I. e. 190(94.1%) subjects said they 'would recommend' a hospice to a terminal cancer patient mostly because they thought it would help the patient to 'mentally prepare'(66.6%) Only 17.3% of them, however, had received a hospice education, most of which was done through the hospital duty education(41.4%) and volunteer training(34.5%). The follows are results of this study: 1. The nurses and the doctors turned out to be still passive and experience confusion in dealing with a cancer patient despite their great sense of responsibility for him or her. 2.Nurses and Doctors realize the need of a hospice, but an extremely small number of them participate in a hospice education or performance. Thus, a whole recognition of a hospice should be changed, for which purpose a hospice education for nurses and doctors should be provided. 3.Terminal cancer patients preferred their home to a hospital as the place to face their impending death because they felt it would bring 'mental stability.' And most of nurses and doctors think it would be unnecessary for them to be hospitalized just for control of their symptoms. Accordingly a terminal cancer patient can be cared at home, and a home hospice care needs to be activated.