Analysis of referral channels on online news consumption
AbstractWhen users visit a page, the browser records the referrer that sent the user to the page. If no referrer is recorded, it means that the user typed in the url of the page. Referrer can comes from various sites such as search engine site, social media sites or other sites. In this paper, we analyze how referrals have any impact on news consumption. We use a dataset of web server logs from an online newspaper for 14 days from 13-27 January 2017. We found that half of the referrals are from Facebook. In terms of contents, there is a significant strong relationship between referrer and article content. The Facebook referrals use Android devices to access the pages and Sunday has the highest number of page accessed. Our findings can be an input for the news organization in their strategy to position themselves as the leader in online news
Submission of an original manuscript to the Journal of Computing Technologies and Creative Content (JTeC) will be taken to mean that it represents original work not previoussly published, that it is not being considered elsewhere for publication. All submitted articles that are published by JTeC cannot be published anywhere by the authors unless with the permission by JTeC Editors. JTeC reserves the right to the publications of the articles it published, and reserves the right to reuse the articles elsewhere for academic purposes, while still retaining the names of the original authors with the original articles.
JTeC takes the stance that the publication of scholarly research is meant to disseminate knowledge and in a not-for-profit regime, benefits neither publisher nor author financially. It sees itself as having obligation to its author and to society to make content available online now that the technology allows for such possibility.