• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.19 no.6
• /
• pp.1-8
• /
• 2019

Recently, consumer distrust has deepened due to blog posts focusing only on public relations due to 'viral marketing'. In addition, marketing projects such as false writing or exaggerated use of the latter phase are one of the most popular programs in 2016 as they are cheaper and more effective than newspaper and TV ads, and the size of advertising costs is set to be a major means of advertising at '3 trillion 394.1 billion won. From this 'viral marketing,' it has become an Internet environment that needs tools to filter information. The fake review filtering application ADDAVICHI presented in this paper extracts, analyzes, and presents blog keywords, total number of searches, reliability and satisfaction when users search for content such as "event" and "taste restaurant." Reliability shows the number of ad posts on a blog, the total number of posts, and satisfaction shows a clean post with confidence divided into positive and negative posts. Finally, the keyword shows a list of the top three words in the review from a positive post. In this way, it helps users interpret information away from advertising.

• Journal of Korean Medical Science
• /
• v.33 no.46
• /
• pp.287.1-287.14
• /
• 2018

Integrity of authorship and peer review practices are important considerations for ethical publishing. Criteria for authorship, as delineated in the guidelines by the International Committee of Medical Journal Editors (ICMJE), have undergone evolution over the decades, and now require fulfillment of four criteria, including the need to be able to take responsibility for all aspects of the manuscript in question. Although such updated authorship criteria were published nearly five years ago, still, many major medical and specialist journals have yet to revise their author instructions to conform to this. Inappropriate authorship practices may include gift, guest or ghost authorship. Existing literature suggests that such practices are still widely prevalent, especially in non-English speaking countries. Another emerging problem is that of peer review fraud, mostly by authors, but also rarely by handling editors. There is literature to suggest that a proportion of such fake peer review may be driven by the support of some unscrupulous external editing agencies. Such inappropriate practices with authorship malpractices or disagreement, or peer review fraud, have resulted in more than 600 retractions each, as identified on the retractions database of Retractionwatch.com. There is a need to generate greater awareness, especially in authors from non-English speaking regions of the world, about inappropriate authorship and unethical practices in peer review. Also, support of any external editing agency should be clearly disclosed by authors at the time of submission of a manuscript.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.12 no.10
• /
• pp.5120-5142
• /
• 2018

Social media enables customers to share their views, opinions and experiences as product reviews. These product reviews facilitate customers in buying quality products. Due to the significance of online reviews, fake reviews, commonly known as spam reviews are generated to mislead the potential customers in decision-making. To cater this issue, review spam detection has become an active research area. Existing studies carried out for review spam detection have exploited feature engineering approach; however limited number of features are considered. This paper proposes a Feature-Centric Model for Review Spam Detection (FMRSD) to detect spam reviews. The proposed model examines a wide range of feature sets including ratings, sentiments, content, and users. The experimentation reveals that the proposed technique outperforms the baseline and provides better results.

• Information Systems Review
• /
• v.18 no.2
• /
• pp.199-223
• /
• 2016

As social networking services (SNS) become widely used tools for maintaining social relationships, people use SNS to express themselves online. Users are free to form multiple characters in SNS because of online anonymity. This phenomenon causes SNS users to easily demonstrate multiple personas that are different from their identities in the real world. Therefore, this study focuses on online multi-personas that establish multiple fake identities in the SNS environment. The main objective of this study is to investigate factors that affect online multi-personas. Fake online identities can have various negative consequences such as cyber bullying, cyber vandalism, or antisocial behavior. Since the boundary between the online and offline worlds is fading fast, these negative aspects of online behavior may influence offline behaviors as well. This study focuses on teenagers who often create multi-personas online. According to previous studies, personal identities are usually established during a person's youth. Based on data on 664 teenage users, this study identifies four emotional factors, namely, closeness with others, relative deprivation, peer pressure and social norms. According to data analysis results, three factors (except closeness with others) have positive correlations with users' multi-personas. This study contributes to the literature by identifying the factors that cause young people to form online multi-personas, an issue that has not been fully discussed in previous studies. From a practical perspective, this study provides a basis for a safe online environment by explaining the reasons for creating fake SNS identities.

• Journal of Sensor Science and Technology
• /
• v.32 no.6
• /
• pp.487-495
• /
• 2023

Over the past few decades, considerable research has been conducted on field-effect transistor (FET) biosensors; however, other than electrochemical sensors for pH, they have not reached the commercialization stage and still remain at the basic research level. Although several reports have been published on experiments with real biological samples, no reports exist of developments that have reached commercialization or finalized approval for use. In this paper, we explain the reason for the experiments of FET biosensors to induce spurious signals in an experimental setup and explain the existence of misunderstandings regarding the operating principle of FET biosensors owing to the spurious signals. Based on the thoughtful review of the results of previously published papers, we show that the electrochemical read-out principle of FET biosensors requires our intensive understanding of the interfacial potential between the solution and the sensor electrode for further progress in the FET biosensor research.

• Journal of Research and Publication Ethics
• /
• v.1 no.1
• /
• pp.17-22
• /
• 2020

Purpose: This study is to develop managerial implications for JSAS for advancing to highly qualified journal and achieving its goals. Furthermore, the study sough to deduce implications of ethical issues of JSAS and to generate insights and future directions for JSAS management. Research design, data and methodology: This study employed a qualitative approach to review the current status of JSAS including its aims, managerial strategies and ethical systems. The study discussed ethical issues about fake journals and predatory journals to analyze the current states of JSAS's ethical system and to compare with each other. Results: Results indicated that JSAS has abided ethical requirements of common journals and established strict criteria, yet it should continuously observe blind peer-review systems to avoid unnecessary risks of being perceived as predatory journals. The rigorous ethical obedience will help JSAS to effectively perform its managerial strategies and to achieve its goals: Increasing submissions, inviting prestigious scholars to board member, and advance to high quality of journal. Conclusions: Continuous efforts of JSAS for ethical management is the most effective method to move to a high qualified international journal with reputation in academia. With the consideration of Korean journal society, ethical studies need to be further conducted.

• Management & Information Systems Review
• /
• v.2
• /
• pp.311-334
• /
• 1998

By decreasing in CPU price and development of computer assembling technology, personal computer fake a good chance to accelerate its supply. Recently, as being introduced new computing technology so called multi media, teaming assist system which is based on single media such as studying book, cassette tape, video tape, or something else is rapidly being replaced by new assist education system based on multi media in which it is operated by the personal computer. In the computer assist education system, there is an evaluation module which appraise learner's study level into the next study strategy. At the view of this point, this part is very important. In this part, there are some factors like Importance, complexity, or difficulty which commonly include fuzzy factors in our surrounding. But until now, we are still out of the level to handle the evaluation module adequately among the some studies. In this study, we would like to suggest a new module that evaluate learning achievement of ICAI which have a variety of fuzzy environment. We combine Independent fuzzy environment like importance, complexity, difficulty into making total evaluation of learner's achievement. By the result, with expressing by linguistic form, this study can provide the theoretical basis in which we will be able to carry out sentence toward evaluation among elementary school.

• Journal of Animal Science and Technology
• /
• v.62 no.2
• /
• pp.111-120
• /
• 2020

The definition of meat analog refers to the replacement of the main ingredient with other than meat. It also called a meat substitute, meat alternatives, fake or mock meat, and imitation meat. The increased importance of meat analog in the current trend is due to the health awareness among consumers in their diet and for a better future environment. The factors that lead to this shift is due to low fat and calorie foods intake, flexitarians, animal disease, natural resources depletion, and to reduce greenhouse gas emission. Currently, available marketed meat analog products are plant-based meat in which the quality (i.e., texture and taste) are similar to the conventional meat. The ingredients used are mainly soy proteins with novel ingredients added, such as mycoprotein and soy leghemoglobin. However, plant-based meat is sold primarily in Western countries. Asian countries also will become a potential market in the near future due to growing interest in this product. With the current advance technology, lab-grown meat with no livestock raising or known as cultured meat will be expected to boost the food market in the future. Also, insect-based products will be promising to be the next protein resource for human food. Nevertheless, other than acceptability, cost-effective, reliable production, and consistent quality towards those products, product safety is the top priority. Therefore, the regulatory frameworks need to be developed alongside.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.11
• /
• pp.3723-3737
• /
• 2022

Google Play is one of the largest Android phone app markets and it contains both free and paid apps. It provides a variety of categories for every target user who has different needs and purposes. The customer's rate every product based on their experience of apps and based on the average rating the position of an app in these arch varies. Fraudulent behaviors emerge in those apps which incorporate search rank maltreatment and malware proliferation. To distinguish the fraudulent behavior, a novel framework is structured that finds and uses follows left behind by fraudsters, to identify both malware and applications exposed to the search rank fraud method. This strategy correlates survey exercises and remarkably joins identified review relations with semantic and behavioral signals produced from Google Play application information, to distinguish dubious applications. The proposed model accomplishes 90% precision in grouping gathered informational indexes of malware, fakes, and authentic apps. It finds many fraudulent applications that right now avoid Google Bouncers recognition technology. It also helped the discovery of fake reviews using the reviewer relationship amount of reviews which are forced as positive reviews for each reviewed Google play the android app.

• Management & Information Systems Review
• /
• v.38 no.1
• /
• pp.63-81
• /
• 2019

In order to overcome the disadvantages of banner ad, pop-up ad, interstitial ad, which are existing web advertisement forms, native ad is actively utilized. Native advertising is considered to be a useful advertising technique in that it can reduce users' rejection and attract attention. However, in recent years, there have been a lot of fake news and fake contents that have turned articles or video contents into advertisements. The purpose of this study is to understand how firms can coordinate and control native advertisements in a rational way. For this analysis, we conducted a survey of 308 social media users using quota sampling method. As a result of the verification, it was found that the more negative the perception of the evaluation of the advertisement, the less the level of persuasion about the advertisement and the negative impact on the website where the advertisement is exposed. In addition, this study examined the influence of the negative stimulus factors on the qualitative performance of the firm. As a result, it was found that source non-expert had the highest effect on skepticism on ad. Also, platform overflow has a direct effect on the evaluation of the website as well as the negative evaluation of the advertisement. Moreover, this study provides concrete implications for the subdivision market by verifying the differences between the paths according to the level of website involvement.