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In the last decade, online newspapers have become a viable alternative to conventional hardcopy papers. Many studies have shown that digital media have increased their share of Internet audience. In this study, we use time series analysis to investigate the user behavior in accessing online newspapers and to describe the important features of the time series pattern. Data was gathered from the daily Malaysian newspaper, Berita Harian for the month of April 2012. In the initial phase, we carried out a basic analysis of time series analysis to identify user access behavior in terms of the days and hours of access. In the next stage, we conducted analysis on the user agent, that is, the different types of browser, devices and external links. This analysis could reveal whether the ubiquitous communication and computing has any effect to the online newspaper industry.