Chapter 2: Research Methodology. 1.Introduction. In This

The case is important because it belongs in a very new category of journalism. Online journalism, which has been established with vast technological advancements, poses many different advantages and disadvantages

Though journalists main goal is to expose the whole truth, to do this they must be open on their methods of acquiring information. With the use of transparency in news articles, the journalists do just this. One major point in the

In our society, science and technology is becoming more advanced and accurate throughout the years. We use this technology each and every day of our lives. In some cases we use this technology to solve criminal investigations. However, there are other ways to solve a case. Although eye witness testimonies can be helpful, scientific data is more effective if it’s used correctly.

Secondary data will be collected from news papers, other related researches, internet, journals and text books.

Online broadcasts is an effective platform for media houses to present information to people nowadays, because stories can be easily updated and accessed by people globally. However it is challenging for journalist to get credible sources online to verify most stories.

In recent years, it appears that social media use has risen immensely. Due to new technological advancements, people have taken it to their advantage to report misleading or misguided information throughout the internet. To prevent getting fooled by fake information, one should do additional research, avoid any evidence of truthiness and look carefully for bias. To begin, when seeking information online, it can be difficult to identify between true fact and false data; therefore, using a tool to eliminate the chances of obtaining false information will be beneficial when researching. “Is it a primary or secondary source? … Are methods or references provided?... Who published the information?... Was it peer-reviewed” (Gratz). These questions

First, large amounts of data are non-searchable because their contents cannot be readily searched with keywords or other-automated methods. To render the material searchable or to manually search it requires enormous resources. Next, backup tapes and other duplicative data can incur significant costs given archived information cannot be immediately searched as they require transcription to a computer first. In fact, the problems with searching this data are so immense courts have treated backup tapes as inaccessible. Another common form of electronic data, databases, also poses significant issues given the cost and feasibility of actually searching through the data. The metadata associated with stored data also poses a number of problems. These problems include: whether the metadata is actually part of the discovery request, insuring the metadata is not modified during production, and actually reviewing the data given the difficulty of accessing and aggregating it. Finally, given many companies have automated deletion policies and producers bear “the burden of proving all readily accessible sources of the requested ESI have been adequately searched”, the restoration of deleted data can often aggravate discovery costs. Thus in many cases, the very nature of electronic data defies efforts to cabin its production

The newspaper industry is undergoing a radical change in three primary areas caused by technology. First, the underlying two-sided business model is changing. With the Advent of internet, news content is easily and freely available from various sources but lacks quality journalism and credibility. Revenues from online advertising are not large enough to compensate for decline in revenues from print advertising & subscription. Newspaper industry is experiencing new realm of new content delivery and in process of understanding and establishing sustainable sources and

Research methodology is a way how the research is conducted step by step and in order. There are two methods used for data collection which is the primary data and secondary data. These data can be obtained and used many ways. The data is taken and analyzed in advance to produce a result that we can use for research and future reference. This study will relate to the objective we want to achieve and finding the answer to every objective we seek. In order to successfully achieve the objectives we seek, we must know

Provenance (aka lineage) is a descriptive metadata (i.e. data about data). It specifies not only the properties of an object but also the history of deriving this object. As provenance touches many different domains and applications, it has different definitions that represent different views of provenance such as “Description of the origins of data and the process by which it arrived at the database” [20],”Metadata recording the process of experiment workflows, annotations, and notes about experiments” [50].

Content mining is tied in with recovering important data from information or content accessible in accumulations of reports through the recognizable proof and investigation of fascinating examples. This procedure is particularly beneficial when a client needs to locate a specific kind of incredible data on the web. Content mining is focusing on the record accumulation. The greater part of content mining calculation and methods are gone for finding designs crosswise over extensive record accumulations. The quantity of records can extend from the large number to millions. This paper goes for talking about some essential content mining strategies, calculation, and apparatuses.

So, it makes perfect sense of going in flow and introducing subsequent topics. Another strength I noticed that when authors wanted to introduce new architecture they don’t jump directly on to explain it. Authors analyzed existing architectures like SAM, AA-Dedupe, CABdedupe and SHHC, they mentioned benefits and shortcoming of each and every one. After that they reached on finding that these all architectures are lacking to consider dynamic nature of data during duplication. So this is how they reached on necessity of their architecture and introduced it. Two big strength of the architecture are handling issue of dynamicity and consider quality of service as they decide how many copy of a file and chunk should be replicated. This paper also holds very strong on experimental results of proposed solution. The authors experimented the model with many possible set ups like changing number of deduplicators, changing type of operation, and change in the value of the quality of service factor. So overall they touched upon every possible setup to conclude that more than 90% of time savings can be achieved. Another strong point about paper is that authors are very clear about what factors are being compromised in the study and they discussed scope of it. For example, a possible monitor access patter can be implemented where system will

Furthermore, the target user group of this news system would have different news-related behaviours. To catch up the target users’ needs and enhance the usability of the whole system, the news system would support some specific new-related behaviours. One of specific news-related behaviours supported by the system is that the target users would look through some popular or hot news listed on the homepage of the system in order to spend less time on searching for the news or information which they want because many target users would want to catch up the trend and collect a large amount of information in a short time. As a result of this, many target users would through viewing the news listed on homepage to grasp some latest news or events happened in their countries or in the worldwide. Another news-related behaviour is that while the target users use the news system to encounter different news or information, they would share the links of news or information to other people on different social media platforms. Because of

bitts.beans@gmail.com ABSTRACT In this paper we are going to illustrate a way to cluster similar news articles based on their term frequency. We will using python and nltk to recognize keywords and subsequently using hierarchical clustering algorithm. This method can be used to build news aggregation backends. Aggregation means clustering like documents from different sources.

Interactivity is what most separates on line news from traditional news. Indexicality (using hypertext links) is an important aspect of on-line journalism because it frees up space and time for the reader. People can explore international news and easily access the latest stories before the papers get to print, all at the click of a mouse.