| Summary: | This study examines women's representation in Spanish national online newspapers. For this purpose, we developed an automatic content analysis method to analyze an extensive sample of 34,235 news articles gathered from March to May 2006. Our general objective was to investigate possible gender bias in Spanish online news. To do so we focused on three journalistic routines, one at the individual level of the reporter (gender) and two at the media routine level (sections, publication day, and article length). The results of the estimated multivariate models revealed that women are still linked to traditionally 'female' sections, such as people, society, and culture. Analysis of article length and publication day showed that women appear more frequently in shorter news items and in the Sunday news, which we interpreted as indicators of male association with newsworthiness. We also found differences in gender reporting since female journalists tend to include more women in the news they report than their male peers. These results provide evidence that online newspapers continue to perpetuate underrepresentation, stereotyping, and discrimination of women in web news thereby reinforcing gender inequality.
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