• Journal of Internet Computing and Services
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• v.21 no.6
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• pp.57-69
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• 2020

As more people share their opinions in online communities, such as Internet portals and social networking services, more opinions are manipulated for the benefit of particular individuals and groups. In particular, when manipulations occur for political purposes, they influence election results as well as government policies and the quality of life. This type of manipulation has targeted the general public, and their analysis and detection has also focused on such manipulation. However, to more efficiently spread propaganda, recent manipulations have targeted common interest groups(e.g., a group of those interested in real estate) and propagated information whose content and style are customized to those groups. This work characterizes such manipulations on common interest groups and proposes method to detect manipulations. To this end, we collected and analyzed opinions posted on 10 common interest groups before and after an election. As a result, we found that manipulations on common interest groups indeed occurred and were gradually increasing toward the election date. We also proposed a detection system that examines individual opinions, their authors, and their collaborators. Using the collected opinions, we demonstrated that the proposed system can accurately classify more than 90% of manipulated opinions and that many of these opinions were posted by multiple collaborators. We believe that regular audits of opinions using the proposed system can quickly isolate manipulations and decrease their impact. Moreover, the proposed features can be used to identify manipulations in domains other than politics.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.366-371
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• 2008

In this paper, we suggest a haptic interface and a framework of interaction with haptic feedback based Windows graphical user interface (GUI) in a computing device with touch screen. The events that occur during a user interacts with Windows interfaces through a touch screen are filtered out by the Windows Interface Message Filter (WIMF) and converted into appropriate haptic feedback information by the Haptic Information Provider (HIP). The haptic information are conveyed to users through a stylus-like haptic interface interacting with a touch screen. Major Windows interaction schemes including button click, menu selection/pop-up, window selection/movement, icon selection/drag & drop and scroll have been implemented and user tests show the improved usability since the haptic feedback helps intuition and precise manipulation.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.2
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• pp.335-343
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• 2014

It is more important to ensure the credibility of internet media which influence the public opinion. However, there are vague suspicions in public from the examples of manipulation of online reviews with anonymity. In this study, we explore the possibility of manipulating public opinion in online web sites. We investigate the characteristics of comments posted by users on web sites and compare each comments by using the cosine similarity function. Our result shows followings. First, we found a correlation between the similarities of comments and the article ranks in the web sites. Second, it is possible to identify abnormal user activities indicating excessive multiple posting, double posting and astroturf activities.

• Asia pacific journal of information systems
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• v.31 no.4
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• pp.472-490
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• 2021

The detection of products with manipulated reviews has received widespread research attention, given that a truthful, informative, and useful review helps to significantly lower the search effort and cost for potential customers. This study proposes a method to recognize products with manipulated online customer reviews by examining the sequence of each review's sentiment, readability, and rating scores by product on randomness, considering the example of a Russian online retail site. Additionally, this study aims to examine the association between brand awareness and existing manipulation with products' reviews. Therefore, we investigated the difference between well-known and unknown brands' products online reviews with and without manipulated reviews based on the average star rating and the extremely positive sentiment scores. Consequently, machine learning techniques for predicting products are tested with manipulated reviews to determine a more useful one. It was found that about 20% of all product reviews are manipulated. Among the products with manipulated reviews, 44% are products of well-known brands, and 56% from unknown brands, with the highest prediction performance on deep neural network.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.526-530
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• 2009

In this paper, we propose a contextual information and physics-based contents manipulation method for a mobile augmented reality authoring system. Due to proliferation of ubiquitous computing in information technology(IT) and advances in sensor technology and mobile devices, AR systems that were only possible in PC can be now feasible on mobile devices. In addition, many AR systems have been proposed that utilize sensory data and reflect them into. Thus, the proposed method provides appropriate visual cues for 3D manipulations of the augmented contents. In addition, uses can manipulate the augmented contents with sensory information through the assignment of sensors to the contents. Moreover, it supports not only a physics-based contents loader that enables users to specify physics properties into the contents, but also the transform matrix between AR and physics engine coordinates. To show the feasibility of the proposed method, we implemented a mobile augmented reality authoring system. We believe that the proposed method can be a key factor for context-aware mobile AR authoring system.

• Korean Journal of Acupuncture
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• v.27 no.1
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• pp.159-168
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• 2010

Objective: ZhangJinYoPian(藏珍要編, ZJYP) is a book witten by Song-WooGe in the late 19th century. While Korea has lost this book to tell us Korea traditional acupuncture treatment in the late 19th century, This book appeared as a manuscript in Japan. There is no reaserch or study carried out for this book. Furthermore, a few people know existence of this book. So I analyzed acupuncture treatment of the ZJYP and sort out the distinctive feature of it. Method: For that, I studied bibliographic information of this book and classified contents of it into three parts - medical thought, needle manipulation and acupoint selection to consider it's caracteristics. Results and Conclusions: 1. The author of ZJYP thought that weakness of good power in the body and strongness of evil power out of the body cause a disease. so Doctor should examine quality of both to care patient's pain. 2. The author of ZJYP thought that needle manipulation is one of the most important thing. Doctors can use needle manipulation to control patient condition. Especially, he suggested cooling and heating manipulation except reinforcement and reduction. 3. He stressed viscera and bowels. he located viscera and bowels theory in front of the book to explain relationship of these. It shows us that ZJYP maintained academic characteristics of acupuncture in Chosun-Korea. 4. While He minimized the number of acupoints used in treatment, he multiplied its combination. He selected one or two acupoints from each meridian pathway. It include Eight Confluent points(八脈交會穴). But these points were used in different ways to control the viscera and bowels, not to care the eight extra meridians.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.2
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• pp.379-398
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• 2014

This pilot study explored the effect of mental demand on a Web searcher's thoughts, emotions, efforts, and performance in Web searches in order to address whether or not there is any difference between searchers exposed to mental demand manipulation and searchers not exposed. Research data were collected via think-aloud protocol (TAP) with a dual-task in experiments and interviews with 10 subjects who participated in this study. For the searcher's thoughts, relevance judgment was found to be hindered by mental demand. For the searcher's emotions, the experimental group was more frustrated than the control group. With respect to the searcher's efforts, searchers for the experimental group with mental demand manipulation were more likely to spend more time, make fewer queries, and visit fewer pages but work harder to find more relevant information that they needed. Lastly, with regard to the searcher's performance, it is likely that performance was highly dependent upon the completion of the search tasks for both groups. The NASA-TLX six components and cognitive load scores of searchers did not make a significant difference in the outcome. The findings support the use of a dual-task methodology as a promising approach for the assessment of cognitive load induced by complex Web searches.

• Journal of the Society of Naval Architects of Korea
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• v.30 no.2
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• pp.1-12
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• 1993

The role of product model in CIM environemt(where such heterogenous application programs as CAD, CAE, CAM, Database, and Expert Systems are included) is system integration. Product model manages all the information related to manufacuring activities. This information includes shapes, operation, process, scheduling, quality, and mangement. Product model architecture includes product model kernel, object schema, model manipulation language, and user interface. Objects to be shared are defined using the model manipulation luage and the defintions are saved in the object schema. In this paper, we present the design and implementation of a prototype. In this prototype, application programs for CAPP(Computer Aided Process Planning) are used.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.540-542
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• 2023

Due to the serious issues posed by facial manipulation technologies, many researchers are becoming increasingly interested in the identification of face forgeries. The majority of existing face forgery detection methods leverage powerful data adaptation ability of neural network to derive distinguishing traits. These deep learning-based detection methods frequently treat the detection of fake faces as a binary classification problem and employ softmax loss to track CNN network training. However, acquired traits observed by softmax loss are insufficient for discriminating. To get over these limitations, in this study, we introduce a novel discriminative feature learning based on Vision Transformer architecture. Additionally, a separation-center loss is created to simply compress intra-class variation of original faces while enhancing inter-class differences in the embedding space.

• Journal of Internet Computing and Services
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• v.21 no.3
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• pp.29-39
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• 2020

Online communities, such as Internet portal sites and social media, have become popular since they allow users to share opinions and to obtain information anytime, anywhere. Accordingly, an increasing number of opinions are manipulated to the advantage of particular groups or individuals, and these opinions include falsified product reviews and political propaganda. Existing detection systems are built upon the characteristics of manipulated opinions for one particular time period. However, manipulation tactics change over time to evade detection systems and to more efficiently spread information, so detection systems should also evolve according to the changes. We therefore propose a system that helps observe and trace changes in manipulation tactics. This system classifies opinions into clusters that represent different tactics, and changes in these clusters reveal evolving tactics. We evaluated the system with over a million opinions collected during three election campaigns and found various changes in (i) the times when manipulations frequently occur, (ii) the methods to manipulate recommendation counts, and (iii) the use of multiple user IDs. We suggest that the operators of online communities perform regular audits with the proposed system to identify evolutions and to adjust detection systems.