• Journal of Information Science Theory and Practice
• /
• v.10 no.2
• /
• pp.86-101
• /
• 2022

This research aimed at studying the factors that influence new media exposure of political news by youths in Isan society in Thailand. The target group comprised 1,200 individuals, obtained from multi-stage sampling from undergraduate students in Isan's autonomous universities, governmental universities, and private institutions. The data collection tool was a questionnaire, the content of which was validated by experts. The reliability of the tool was tested by the formula for Cronbach's alpha coefficient, which yielded a reliability of 0.83. Multiple regression analysis was applied to analyze the data. The results, regarding factors influencing the channels for political news exposure, showed that channels for political news exposure were mostly influenced by inner drives, followed by importance in political news exposure, influence from social networks, and specific characteristics of the Internet. This could explain the variation of channels for political news exposure at 46.5%. In terms of factors influencing political news selection, it was found that political news selection was influenced mostly from social networks, followed by inner drives, benefits from political news exposure, specific characteristics of the Internet, and the field of study. The variation of the political news selection could be explained at 44.6%. These results elaborate on the current situation in Thailand, especially in Isan region, where youths in higher education are playing an increasing role in demonstrating their political stance through various political activities.

• Korean journal of communication and information
• /
• v.66
• /
• pp.5-27
• /
• 2014

The past, present, and future of online journalism in Korea are inextricably bound up with the portal site news services. In traditional journalism, finite news media took hold on news consumption completely because of performing news production and distribution simultaneously. Since then, in the age of multi-media and multi-channel, the audience selection has become more important because of greatly increasing news media and then exploding news production. In online journalism, the news distribution have emerged as the most important field because of the intensive consuming the portal site news services making use of various news easier, the characteristic of news consumption focusing on not news media brands but news media contents, etc. Therefore, the news present landscape of Korean journalism oriented news distribution has been completed by that the portal site news services became the symbol of online journalism. That the portal site news services performing only news distribution have more influence than the paper based online newspapers and Internet based online newspapers producing news means the change of media power. By this, a conflict between news media and portal site news services appears at all times.

• The KIPS Transactions:PartB
• /
• v.8B no.6
• /
• pp.609-616
• /
• 2001

Today, as the Internet is popularized, information and news retrieval are generalized. However due to the tremendous amount and variety of information, many users appeal the difficulties of information retrieval. Thus in this paper, we propose a news retrieval system, which filters news articles using an intelligent agent with the learning ability of BPN (back propagation neural network). This system also uses a profile to accomodate the personalized news retrieval. This system consists of two major agents, collection agent and learning agent. The collection agent gathers the articles from several news sites, analyzes them, and stores into a database. The learning agent builds the BPN based on the personalized data. In addition, considering the popularity of the wireless internet due to the rapid development of communication technologies, we made this system provide the service through the wireless internet.

• Journal of Internet Computing and Services
• /
• v.21 no.1
• /
• pp.87-93
• /
• 2020

The popularity of social media has led to a variety of communicative behaviors among users. This study targeted Facebook as a representative social medial platform because it has the most subscribers in order to investigate factors that influence Facebook usage. In particular, because a person's behavior is based on how they are perceived by others, self-conscious behavior was examined in the study. Facebook usage and news consumption were examined to ascertain the effects of self-consciousness. An online survey was conducted to examine how private SC and public SC (SCs), affects Facebook usage (profiles and writing posts) and news consumption (clicking "like" and sharing news). 616 participants completed the survey, and results indicated that public SC was positively related to the degree of profile updating and post writing. On the other hand, private SC was positively related to the degree of news sharing. These results suggest that psychological elements significantly predict a user's behavior on Facebook.

• International Journal of Computer Science & Network Security
• /
• v.21 no.2
• /
• pp.229-237
• /
• 2021

Our modern 'information-hungry' age demands delivery of information at unprecedented fast rates. Timely delivery of noteworthy information about recent events can help people from different segments of life in number of ways. As world has become global village, the flow of news in terms of volume and speed demands involvement of machines to help humans to handle the enormous data. News are presented to public in forms of video, audio, image and text. News text available on internet is a source of knowledge for billions of internet users. Urdu language is spoken and understood by millions of people from Indian subcontinent. Availability of online Urdu news enable this branch of humanity to improve their understandings of the world and make their decisions. This paper uses available online Urdu news data to train machines to automatically categorize provided news. Various machine learning algorithms were used on news headline for training purpose and the results demonstrate that Bernoulli Naïve Bayes (Bernoulli NB) and Multinomial Naïve Bayes (Multinomial NB) algorithm outperformed other algorithms in terms of all performance parameters. The maximum level of accuracy achieved for the dataset was 94.278% by multinomial NB classifier followed by Bernoulli NB classifier with accuracy of 94.274% when Urdu stop words were removed from dataset. The results suggest that short text of headlines of news can be used as an input for text categorization process.

• Ocean and Polar Research
• /
• v.35 no.4
• /
• pp.465-489
• /
• 2013

We collected references on South Pacific Studies from several resources: mainly internet resources and periodicals. Internet resources include associations, organizations and societies; cultural resources; environmental issues; government data; information resources; journals and news letters; libraries, archives, publishers; news sources; other sources; regional issues; selected full text documents and digital resources; and statistics. Periodicals include news and popular interest magazines; regional magazines and general interest publications; and scholarly and professional journals.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.22 no.4
• /
• pp.23-28
• /
• 2022

Recently smart device(such as smart phone and tablet PC) become a role as an information gateway, using of the web news by multiple users from the web portal has been more important things. However, the quantity of creating web news on the web makes hard to catch the information which the user wants and confuse the users cause of the similar and repeated contents. In this paper, we propose the news recommend system using the document summarization based on KoBART which gives the selected news to users from the candidate news on the news portal. As a result, our proposed system shows higher performance and recommending the news efficiently by pre-training and fine-tuning the KoBART using collected news data.

• Journal of Digital Convergence
• /
• v.10 no.9
• /
• pp.253-262
• /
• 2012

This study tries to find the differences in attitude towards advertisement and corporate image according to the context of article in web contents, banner advertisement exposure and news type. The findings of this study are as follows. First, interaction effect between the context of Internet article on social contribution activity and attitude towards advertisement was confirmed. When the context of Internet article was negative, the news type that provides a photo with the article was more effective for the attitude towards advertisement. It is estimated that when a photo is provided with an Internet article for social contribution activity, the level of crowdedness increases and accordingly the negative context of the Internet article is cancelled out. Second, interaction effect between news type and advertisement type of social contribution activity article and attitude towards advertisement was confirmed. In the news type that provides a photo with an Internet article, corporate advertisement was more effective for attitude towards advertisement than product advertisement. Third, interaction effect between the news type of social contribution activity and corporate image according to advertisement type was confirmed. In the news type that provides a photo with an Internet article, product advertisement was more effective for corporate image than corporate advertisement.

• Korean journal of communication and information
• /
• v.30
• /
• pp.35-87
• /
• 2005

This research explores the empirical confirmation of the Internet development including from the period of innovation to the time of social-cultural use in today. The research focused on how tradition news media rover about the Internet developed from early to today, and understanding the media characteristics on the each stages from news frame. The research Is designed to conduit content analysis from 1989 to 2004, then this research is divided four(4) stages of the Internet development: innovation, diffusion, commercial usage, social-cultural usage. The results shows that there are significant different coverage by the stages. First of all, the news coverage pattern shift from technology focused on early stages to social usage focused on the later stages. This research confirms that the ratio of the seriation(technology) coverage defined when social usage is increased, on the other hand skeumorphs(social usage and content) coverage is increased in the commercial and social usage stages. This coverage pattern among news media does not such a big different and there is no competitive coverage. Moreover, the news coverage shifted from thematic coverage on early stages to episodic coverage while the number of usage increasing. In addition, the tone of coverage has not been changed significantly.

• Journal of Internet Computing and Services
• /
• v.18 no.2
• /
• pp.105-111
• /
• 2017

This paper explores the characteristics of curated news content. With content analysis of 1020 news clips, the study found that news values immersed in card news differed from those of traditional news. Specifically, timeliness was not regarded as a key factor in newsworthiness. Rather, information and social impacts were highly emphasized. Considering news consumers depend on traditional news for timely news, curated news content was not a replacement for traditional news but a supplement. By refurbishing photos from previous news reports and googling the web for related information, curated news reiterates social meaning and provides relevant information. Furthermore, salience of human interest can be explained by entertaining characteristics of curated news. In story forms, the list technique has several important points to stress, and was more frequently used than inverted pyramids. Another key finding of this study is man-on-the street as the most quoted main sources in the curatorial context.