Numbers, Facts and Trends Shaping Your World

Search results for: “smartphone”


  • report

    1. The American public shows mixed familiarity with new and evolving forms of news

    One major challenge researchers may encounter in designing surveys about news consumption: Does the U.S. public understand the range of concepts being measured – concepts that are constantly evolving as news organizations adapt to the ever-changing digital landscape? This chapter examines this question from several angles, including the public’s overall familiarity with – and use […]

  • report

    1. The innovations these experts predict by 2030

    Americans and many around the world are not terribly satisfied with the state of democracy and the institutions that undergird it. Experts who were canvassed about the relationship between people’s technology use and democracy also expressed serious concerns about how things will unfold in the next decade. At the same time, the experts responding to […]

  • report

    Appendix A: How smartphone and social media use relate to social network diversity

    Regularly interacting with people of different religious views is the dichotomous dependent variable, where 1 denotes someone who frequently or occasionally interacts with people who hold different religious views than they do, and 0 means they rarely or never do so. The independent, or predictor, variables include age, gender, education level, income level and whether […]

  • report

    Appendix B: About the focus groups

    In each country, the groups were structured according to the following criteria: Group 1, “basic phone” – all participants either owned or shared a basic phone that could not connect to the internet and were 36 years old or older; Group 2, “younger, smartphone” – all participants owned or shared a smartphone and were under […]

  • report

    Appendix D: Older people, more affluent tend to have fewer hardships using mobile devices

    In this report, we explored demographic differences associated with mobile phone use and hardships. To do this, we used a hierarchical linear regression to predict the total number of hardships people experience, controlling for other factors that affect mobile phone use. We used Stata’s mixed function to estimate a weighted, mixed-effect linear model with random […]

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