In recent years, data visualization has become increasingly prominent in journalism, extending its influence beyond specialized media to general news platforms. This article explores the differences between traditional news formats and those incorporating data visualization, focusing on their effects on reader interest, comprehension, and attitudes toward data visualization. The study involved 700 participants and employed experimental conditions to analyze these variables, revealing significant insights into how data visualization impacts public understanding and attitudes.
Introduction
The digital age has transformed media practices, with a notable shift towards visual and mobile content driven by changing audience preferences (Pérez-Montoro & Veira-González, 2018). As audiences increasingly seek out visually engaging content, media professionals are adapting by producing more innovative and accessible news formats. This shift includes the integration of data visualization tools such as infographics, diagrams, and interactive elements to enhance the clarity and appeal of news (Baker et al., 2001; Bounegru & Gray, 2021).
The COVID-19 pandemic highlighted the importance of data visualization in conveying complex information about health and science (Bao et al., 2020). Despite its growing use, the effectiveness of data visualization in news remains underexplored. This study aims to address this gap by comparing the effects of traditional news and data visualization on public comprehension and attitudes.
Theoretical Framework and State of the Art
Data journalism involves the collection, analysis, and presentation of quantitative information within news stories (Veglis & Bratsas, 2017). Data visualization, a key component of data journalism, leverages visual representation to enhance cognitive processing and understanding of data (Friendly & Denis, 2001; Kirk, 2012). Visualization techniques range from simple graphs to complex simulations, all designed to clarify relationships within data (Manovich, 2011; Pérez-Montoro & Veira-González, 2018).
Historically, data visualization was prevalent in fields like finance and mapping but has more recently expanded into general journalism (Weber & Rall, 2012; Franklin, 2014). Research suggests that combining text with visual elements improves comprehension compared to text alone (Moreno & Valdez, 2005; Bucher & Schumacher, 2006). The advent of interactive and dynamic visualizations has further enhanced their effectiveness, making complex information more accessible (Liu, 2021; Ma, 2021).
The dual-coding theory posits that processing information through both visual and verbal channels enhances memory and comprehension (Paivio, 1971). This theory supports the idea that data visualization can facilitate better understanding by engaging multiple cognitive pathways (Paivio, 1990).
Despite these benefits, there are concerns that excessive or poorly designed visualizations can complicate understanding (Lester, 2000; Brescani & Eppler, 2009). Effective communication of data requires careful design and an understanding of how audiences interact with visual information (Holsanova et al., 2008).
Objectives and Hypotheses
The study’s primary objective is to evaluate the impact of data visualization on public interest, comprehension, and attitudes toward news. Specific hypotheses include:
- H1: Data visualization positively affects news interest, leading to improved comprehension.
- H1A: This effect is moderated by prior attitudes toward science, data visualization, and data journalism.
- H1B: This effect is moderated by prior interest in these topics.
- H2: Data visualization enhances news comprehension, leading to more positive attitudes toward data visualization.
Procedure and Sample
The study, conducted in Spain, involved 700 participants. The sample was evenly split by gender, with a mean age of 45.03 years. Participants were randomly assigned to read either a traditional news article or one with data visualization.
The experimental news items focused on COVID-19, with one version featuring interactive graphs and visuals and the other presenting the same information in a traditional text format. Post-reading surveys assessed interest, comprehension, and attitudes toward data visualization.
Results and Discussion
The findings indicated that data visualization significantly enhances news comprehension and fosters more positive attitudes toward the use of data in journalism. Participants exposed to visualized news demonstrated greater understanding and expressed more favorable views on data visualization compared to those who read traditional news.
These results align with the dual-coding theory, highlighting the benefits of engaging both visual and verbal processing systems. The study also underscores the role of prior attitudes and interests in shaping how audiences respond to data visualization, suggesting that tailored visual content can improve news engagement and comprehension.
Conclusion
This research contributes to the understanding of how data visualization influences public comprehension and attitudes toward news. The positive effects observed suggest that incorporating data visualization into news formats can enhance the clarity and appeal of complex information, offering valuable insights for journalists and media professionals aiming to improve audience engagement and understanding.
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