Automated content analysis for the elecronic-newspapers studies

Abstract EN

The digital age has brought about fundamental changes in the field of media, so studies have shown that many researchers from different scientific fields have already begun to analyze the contents of digital media and social networks, including researchers in the field of computers, who created research in the field of electronic newspapers analysis.

The availability and volume of data in digital media, in parallel, has transformed its contents into a rich research subject in psychology, media, sociology, political science, and others.

However, when analyzing the content of digital media, one faces Researchers have a number of fundamental differences compared to traditional content.

The vast amount of data and unique features of digital content require the application of new technologies of value associated with the transformations taking place in the digital environment.

But despite the advantages that new methods of digital content analysis enjoy at the expense of traditional content analysis methods, they are not common in digital media research, despite the increasing rates of spread, in an environment dominated by the features of continuous information flow, and big data (Big Data).

) available to users with ease and ease, but the question that arises in this field is whether it is possible to analyze the contents of the Internet and its various platforms with the same ease of accessing the content therein? Or is there a clear difference, which requires researchers in the field of electronic media to pay attention to it? Will the huge data resulting from the digital press.