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The aim of this study is to analyze the reasons behind users’ selection of news results on the news aggregator website, Google News, and the role that news factors play in this selection. We assume that user’s cognitive elaboration of users influences their news selection. In this study, a multi-method approach is used to obtain a complete picture of the users’ news selection reasoning: an open survey, a closed survey, and a content analysis of screen recording data. The results were determined from online news selection of 90 news results from 47 users on Google News. Different news values could be identified as relevant for selection: time-referenced news factors and news factors of social significance were shown to be more important than the news factors of deviance. News cues (presence of a picture, position of a news result, source) were identified as selection reasons regardless of the level of cognitive elaboration during the online browsing process.

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Vignette research uses short descriptions of hypothetical situations, objects, or persons (vignettes) that are presented to respondents in order to receive judgments or to simulate decisions concerning these scenarios. Vignette research is applied in various disciplines. In some disciplines it is referred to as conjoint analysis; in other disciplines as factorial survey. This method enables simultaneously manipulating various factors and factor levels in text or visual vignettes. The vignette method has been a promising approach in quantitative research, because it combines advantages of traditional surveys and classical experimental designs without integrating the weaknesses of these two approaches.