Introduction to Print & Electronic Journalism (5) PDF

Introduction to Print & Electronic Journalism (5)  Characteristics of online news  All the four identified types of online journalism, to some extent make use of the key characteristics of the networked computer environment in which they operate in: such as hypertextuality, multimediali...

Introduction to Print & Electronic Journalism (5)  Characteristics of online news  All the four identified types of online journalism, to some extent make use of the key characteristics of the networked computer environment in which they operate in: such as hypertextuality, multimediality and interactivity which operates in its own paradigms and own types in its current status.  Hypertextuality  The problem with hypertext was that it creates “a delivery system for separate closed units a system which allows only embedded links pointing outward”.  At this point one has to comprehend that the texts interconnected through links hyperlinks can refer internally to other texts within the text’s domain or externally to texts located elsewhere on the Internet.  Multimodality  Multimodality is an inter-disciplinary approach that recognizes communication and representation to be more than concerning language.  If multimedia is used with no thought as to the reasons why it is being used, or it has poor layout or content it can result in a pointless aesthetic fiasco that needlessly hogs bandwidth”  Multimodality  Ithad been developed over the past decade to methodically address much-debated questions about changes in society, for example in relation to new media and technologies.  Multimodal approaches have supplied concepts, methods and a framework for the compilation and analysis of visual, aural, personified, and spatial aspects of interaction and their environment, and the relationships between these.  Multimodality  Numerous media critics have put across doubts regarding the industry’s drive to media convergence (multimedia) stating that it could be merely an alternative way of producing more content with less number of news people, and highlighting the impact of these technologies on the culture of online journalism.  Interactivity  Three categories of interactivity options on Web sites were classified as: navigational interactivity via “Next Page” and “Back to Top” buttons or scrolling menu bars, functional interactivity via direct mail to: links, Bulletin or adaptive inter activity.  By means of scrutinizing several interactive options in news sites, a number of scholars have noted that most sites do not develop interactivity beyond functional and navigational level.  Interactivity  The more interactive opportunities given by the websites to users, the more involved the users will feel about the website.  Comments would work even though the surfers really do not use all these interactive “Bells and Whistles”. “Interactivity was much more vibrant when the news was fresh”  Filtering and Editing  With the abundance of availability of information, and competing demands of media attention, a new alternative form of editing - filtering, sorting, ranking and linking was opening up.  This process was similar to editing as in the editorial judgment and selection.  Filtering and Editing  The online participants help their community, immaterial of how big the community was to valued news and information. Filtering and ranking was influenced both by singular or collective participation.  For example, "best-of" list of links to news and information about cutting-edge consumer electronics.  Filtering and Editing  Severalnews sites, such as MSNBC.com and CNN.com, make use of a similar "Most Read Top 10," where all site visitors' choices were accumulated into a popularity ranking.  Otherinteresting examples of filtering systems include Google's Page Rank algorithms, Yahoo's Buzz - based on popular searches - and The New York Times‘ "most e-mailed stories."  Filtering and Editing  On the other hand, filtering doesn’t have to come from explicit activities, such as connecting or favorite lists. It can also have inherent origins, such as Amazon's well-known "People who bought this item also bought..." feature.  It can be considered as an example of collaborative filtering, in which Amazon utilizes information in relation to previous sales and browsing in order to suggest potentially relevant products to returning customers. Thank you!