• Asian Journal for Public Opinion Research
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• v.1 no.4
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• pp.234-248
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• 2014

A telephone survey was conducted in a metropolitan city in 2012 to examine people's credibility ratings of different media outlets, in particular, Weibo - one of the most popular social media platforms in China. Our findings suggest: First, people place more trust in traditional news media than in online sources by a significant margin. Second, demographic influences on media trust seem to be minimal. Only age and gender were related to some credibility measures. Third, Weibo use was not related to one's credibility perception toward traditional media but interestingly, Weibo use showed different impacts on people's evaluation of Weibo's credibility. Commenting frequency was negatively related to one's trust in Weibo, while retweeting frequency was positively related to one's trust in Weibo.

• Korean journal of communication and information
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• v.26
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• pp.259-289
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• 2004

In this study, the use of mainstream online news site and alternative online news site were compared in the aspects of users' characteristics, attitude on online news sites, and using pattern. A survey was conducted for 182 mainstream-only users, 46 alternative online news users, and 47 both sites users, Also, their traffic data of online news sites were analyzed during the 16th presidential election. As a result, it was found that both sites users had the highest political interest and the most progressive political position among the user groups. In the aspect of users' attitude, mainstream-only users were most positive to the mainstream online news site and both sires users were most positive and more involved in alternative online news site. But all user groups set higher credibility on alternative online news site than mainstream online news sire. In the comparison of user size, mainstream online news site has larger user size than alternative online site. However, the user royalty, such as time per person, pages per person, and visiting days per person, was lower than that of the latter. These results suggest thar small but differentiated news sires have royal users, and online news users be segmented according to news contents.

• International Journal of Knowledge Content Development & Technology
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• v.11 no.4
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• pp.35-51
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• 2021

This study measured the effects of fake news and propaganda on managing information on COVID-19 among the Nigerian citizenry. This study examined sources of information on COVID-19 available to the people, evaluated reasons behind spreading fake news, examined how fake news has affected the spread of COVID-19 pandemic in Nigeria, established the consequences of fake news on managing COVID-19 pandemic and as well identified ways to contain fake news at a time like this in Nigeria.It is a survey with a sample size of 375 participants selected using simple random technique. Instrument of data gathering was questionnaire widely distributed in the six geo-political zones of Nigeria using Survey monkey. Data was analysed using frequencies, counts and percentages, tables and charts. Findings revealed that people rely more on radio, television, and social media for information on COVID-19. Fake news is spread by people mostly for political reasons and intention to cause panic. In Nigeria, fake news has led to disbelief of the existence of the virus thereby leading to violation of precautionary measures among the citizenry and lack of trust in the government. Concerted effort on the part of the government is required to give public enlightenment on the danger of fake news. Also, directorate of anti-fake news should be established to censor and reprimand sources of fake news. People should always check source of information to confirm its credibility and be weary of sharing unconfirmed information especially on the social media.

• Korean journal of communication and information
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• v.42
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• pp.249-279
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• 2008

This study tried to examine the effect of reading replies on the changes of attitudes towards the subject of online news articles. For that purpose, an experiment was conducted in which participants were asked to read an article and the replies attached. Attitudes were measured before and after reading replies. Another interest of this research was to examine factors affecting the attitude change after reading replies. It was found that while credibility of replies and efficacy belief of the news subject had negative impacts on the attitudes, individuals' information seeking characteristics gave positive impacts on the attitudes after reading replies. This study concludes with discussion and implications of the findings.

• Journal of the Korean Society for information Management
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• v.27 no.1
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• pp.7-24
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• 2010

This study tried to develop the confidence indicators and evaluation factors of credibility according to the types of online information by nationwide large scale online survey. The main results are summarized as follows: i) confidence indicators by types of online information: information on news sites(72.553), financial companies(68.894), government sites(67.938), cafe(66.464), portal sites(65.001), collective intelligence sites(63.489), nonprofit organization (63.392), company/corporation sites(59.789), blog(59.066), online community sites(55.609), e-commerce sites(55.118), mini-homepage(50.695). ii) 'Widely known site' or 'famous site' is the most important factor for all types of online information. User opinions like as posting or comment are major factors for sites of cafe, blog, mini-homepage, online community, collective intelligence etc. and 'name recognition' and 'reputation' are main factors for site of financial company, corporation, government, nonprofit organization.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.9
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• pp.1275-1278
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• 2021

Nowadays, fake news from newspapers and social media is a serious issue in news credibility. Some of machine learning methods (such as LSTM, logistic regression, and Transformer) has been applied for fact checking. In this paper, we present Transformer-based fact checking model which improves computational efficiency. Locality Sensitive Hashing (LSH) is employed to efficiently compute attention value so that it can reduce the computation time. With LSH, model can group semantically similar words, and compute attention value within the group. The performance of proposed model is 75% for accuracy, 42.9% and 75% for Fl micro score and F1 macro score, respectively.

• Korean journal of communication and information
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• v.42
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• pp.44-78
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• 2008

The present study explored the agenda setting effects of replies called "Daet-Gul", and perception of the news replies. This study has established three research questions: 1) the recognition of the online communication 2) the degree of the reading and writing on online spare 3) the amount of the effects on the online communication. This study is performed using survey method. The survey results indicated in that the participants are very passive readers and writers on the online spare. In addition, the survey repliers evaluated that replies' mechanical device and antigravitational speed have high score, whereas they marked low store in the content and credibility of 'the replies. Therefore, they did not estimate the effects of the replies highly. All the results indicate that 'the replies' is not the fundamental factors of the deliberative democracy. It's because online communication with 'the replies' are thought to be fated the abuse and slander. Therefore, it's essential to improve the online communication with 'the replies', through the introduction of the 'trackback', which is a sort of the 'remote replies'

• Journal of Korean Library and Information Science Society
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• v.38 no.3
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• pp.53-72
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• 2007

The Internet is now an integral part of the everyday lives of a majority of people. They are demanding web sites that offer credible information - Just as much as they want sites that are easy to navigate. But the online reality today is that few Internet users say they can trust the web sites that have products for sale or the sites that offer advice about which products and services to buy. Users want the web sites they visit to provide clear information to allow them to judge the site's credibility. Users want to know who runs the site; how to reach those people; the site's privacy policy; and how the site deals with mistakes. In the eyes of users all sites ate not equal. Users have different credibility standards for different types of sites. For news and information sites users want advertising clearly labeled as advertising. And users want the site to provide a list of the editors responsible for the site's contents, including the editor's email address. For e-commerce sites, user expectations and demands are just about as high as they can be. They say that it is very important that these sites provide specific, accurate information about the site's policies and practices.

• Journal of Science and Technology Studies
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• v.20 no.1
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• pp.39-85
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• 2020

With the development of information technology, fake news is becoming a serious social problem. Individual measures to manage the problem, such as fact-checking by the media, legal regulation, or technical solutions, have not been successful. The flood of fake news has undermined not only trust in the media but also the general credibility of social institutions, and is even threatening the foundations of democracy. This is why one cannot leave fake news unchecked, though it is certainly a difficult task to accomplish. The problem of fake news is not about simply judging its veracity, as no news is completely fake or unquestionably real and there is much uncertainty. Therefore, managing fake news does not mean removing them completely. Nor can the problem be left to individuals' capacity for rational judgment. Recurring fake news can easily disrupt individual decision making, which raises the need for socio-technical measures and multidisciplinary collaboration. In this study, we introduce a new public online platform for fake news management, which incorporates a multidimensional and multidisciplinary approach based on citizen science. Our proposed platform will fundamentally redesign the existing process for collecting and analyzing fake news and engaging with user reactions. People in various fields would be able to participate in and contribute to this platform by mobilizing their own expertise and capability.

• Korean journal of communication and information
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• v.46
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• pp.177-211
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• 2009

The purpose of this study is to investigate how portal users recognize the role and function of the portal as a press. Furthermore, this study aims to analyze the pattern of portal news use among portal users and their recognition about replies to news. For this, we conducted online survey of 1,036 people aged from 15 to 45, who used portal site at least once a week. As a result, most users(70.8%) agreed that portal news played a role as a press with other media. In addition, six out of ten agreed that portal news set the agenda of society. These results suggest that portal users think highly of the social impact and responsibility of portal in society. However, about 40 percent of respondents said that they did not trust in information shown in replies to news and many replies to news were written by albeit. Six out of ten thought that replies to news were written by intention. Therefore, to manage the quality of replies to news is necessary to secure the credibility of portal news. As respondents use portal news often, they tend to think that portals are convenient to use and their social impact is very large, at the same time considering their sensation and commercialization. On the other hand, as portal users use the internet often, they tend to think that portals are convenient to use and their social impact is immense. However, there was no significant relationship between income and portal users' recognition of portals as the press.