Disseminating news content has undergone a series of reformations during the last decade. With technological advancements, New media is taking over conventional media platforms. So, it is high time we start evaluating the effectiveness of news media on the overall framework of journalism. Also, must we analyze the user’s perspective on this transitioned phase of media content consumption?
Recommendation algorithm is an integral part of the new media industry and all the popular recommendation algorithms perform the task of filtering out the content based on user’s searches and preferences. So, the next time you browse about a certain event or latest short news, you get news articles about them popping up on the screens of your devices. Do not think that you are under surveillance, but the algorithm picks the searches and presents the information accordingly.
The emergence of micro media and the concept of miniaturization of news content:
Micromedia came into existence due to the full-fledged implementation of the internet era because people depend on internet-based services to complete their regular tasks. Be it shopping, traveling, paying utility bills, or any other activity, going online is the new norm nowadays, and with the rise of micromedia, miniaturization comes into play. It is the process of trimming down the length and depth of any information or news content into a crisp format, such as a short 60 word news article or 60 seconds video.
This is what most short text news or video news apps do today to stay relevant because the concise and condensed format of news summaries designed by highlighting features and bullet points successfully grabs the user’s attention within a limited period. The concept is highly acceptable nowadays because everyone needs to stay updated and aware of current events, but without investing much time in reading long news articles or watching live news telecasts on TV.
In this way, miniaturization works for them perfectly. News dissemination in a micromedia environment is led by the process of personalized recommendation algorithms, which is nothing but user preferences sorted according to their interaction with the platform. It forms the basis of all web-based applications, be it a video news app or an OTT platform, to enhance user experience and establish a connection between them. Let us decipher the possible reasons for the increased popularity of personalized recommendation algorithms:
- The breeding ground for this concept is the internet era, where information is transmitted at lightning speed and in bulk. The amount of information uploaded on the internet in a second is nearly impossible for a person to read in several years. With such an influx of data, information or text news in short format is likely to be tainted sometimes to build a false narrative and mislead the consumers. It is the biggest challenge a new form of internet media faces, and organizations are working leaps and bounds to eliminate this loophole.
- The dissemination process, which incorporated manual data collection, editing, and printing, shifted to electronic data mining, editing, and online publishing. This shift in the process is very much responsible for implementing the recommendation algorithm.
- User perception and requirement is the sole driving cause of incorporating this technology because, ultimately, the user’s convenience and satisfaction matter to these internet media agencies.