Storytelling is shown as an effective approach to humanize information perception. However, its potential to build a biased view of the information contents is often neglected. Moreover, narrative understanding and emotion may interfere with data visualization comprehension. In this research, we evaluated how users perceived the information in two different configurations: One with a report with graphs and narrative side notes texts, and the second with a redesigned fully annotated content. The test compared the two groups in both qualitative and quantitative methods. The quantitative results were obtained by a survey and statistically analyzed with a T-Test. This indicated that the condescending storytelling approach augmented the perception of the effect signaled by the presented narrative. Also, the qualitative results collected afterward by interview and focus group have shown that, as the readers of narrative models perceived a higher intensity of the effect, they have also expected an even higher result from the selected data. The final analysis of the experiment helped to indicate that ordering, highlights, and semantics have a strong role in how the narrative influences the perception of the reader.

O mundo contemporâneo é caracterizado por um amplo volume de informações produzidas. Contudo, proceder a seleção e leitura dessas informações por meio de relatos de pesquisa ou de notícias ainda é um desafio. Entre os obstáculos presentes se destacam os vieses da informação, originados por tratamentos de jornalistas ou pesquisadores, ou mesmo provocados intencionalmente para subverter a representação da realidade a partir dos dados obtidos. Assim, o presente estudo visa discutir a interpretação de informações visuais em representações gráficas de cálculos estatísticos de modo a contextualizar alguns dos principais recursos visuais de enviesamento de pesquisa. Para tanto, aborda os principais modos de enviesamento em pesquisas a partir das representações da estatística e da visualização de dados e identifica alguns passos nos quais o enviesamento se traduz em informações visuais. A partir do levantamento realizado, sugere-se que a compreensão visual dos recursos de visualização de dados pode ao menos instigar a indagação do leitor acerca do possível viés.*****The contemporary world is characterized by a large volume of produced information. However, selecting and reading this information through research reports or news is still a challenge. Among the present obstacles stand out the information bias, originated by treatments of journalists or researchers, or even intentionally provoked to subvert the representation of reality from the obtained data. Thus, the present study aims to discuss the interpretation of visual information in graphical representations of statistical calculations in order to contextualize some of the main visual bias features of research. To this end, it addresses the main modes of search bias from statistical representations and data visualization and identifies some steps in which bias translates into visual information. From the study, it is suggested that the visual understanding of data visualization resources may at least instigate the reader's question about the possible bias.