| Literature DB >> 35531266 |
Shelley Boulianne1, Adam Shehata2.
Abstract
Younger and older generations are differently motivated in relation to news consumption and online political expression. In this paper, we suggest that different modes of citizenship characterize younger and older generations. To test the differential role of political interest in news consumption and online political expression, we use a survey of 3,210 people from the United States, 3,043 from the United Kingdom, and 3,031 from France. Our findings suggest that young citizens are more frequent users of online news overall and that the rank order of different news activities replicates cross-nationally. The frequency of online political expression is negatively related to age, with older people less likely to post online. Age moderates the relationship between political interest and news consumption as well as news consumption and online political expression. The correlations of these sets of variables are stronger for younger respondents compared to older respondents. These findings hold across the three countries under study. We explain these patterns in terms of changing citizenship norms and discuss the implications for democracy.Entities:
Keywords: cross-national; online news; political expression; youth
Year: 2021 PMID: 35531266 PMCID: PMC9058403 DOI: 10.1177/19401612211060271
Source DB: PubMed Journal: Int J Press Polit ISSN: 1940-1612
Figure 3.The marginal effect of political interest on online news use across age groups.
Political Interest on Online News (OLS Estimates).
| All countries | United States | United Kingdom | France | |
|---|---|---|---|---|
| Political interest | 0.60*** (0.02) | 0.65*** (0.04) | 0.59*** (0.04) | 0.49*** (0.04) |
| Age (18–75 years) | −0.00** (0.00) | −0.01** (0.00) | −0.01* (0.00) | −0.00 (0.00) |
| Interest × age | −0.00*** (0.00) | −0.00*** (0.00) | −0.00** (0.00) | −0.00 (0.00) |
| Controls | ||||
| Female | −0.05*** (0.01) | −0.06* (0.02) | −0.00 (0.02) | −0.08** (0.02) |
| Education (ref. = 1: high school or less) | ||||
| Lower college | 0.07*** (0.02) | 0.08* (0.03) | 0.05 (0.04) | 0.12*** (0.03) |
| Bachelor's | 0.15*** (0.02) | 0.20*** (0.03) | 0.08** (0.03) | 0.20*** (0.03) |
| More than bachelor's | 0.15*** (0.02) | 0.24*** (0.04) | 0.12* (0.05) | 0.13*** (0.03) |
| Country (ref. = USA) | ||||
| UK | −0.06** (0.02) | – | – | – |
| France | 0.01 (0.02) | – | – | – |
| Year (ref. = 2017) | ||||
| 2019 | 0.34*** (0.01) | 0.20*** (0.02) | 0.33*** (0.02) | 0.48*** (0.02) |
| 0.38 | 0.44 | 0.36 | 0.37 | |
|
| 8,947 | 3,017 | 2,945 | 2,985 |
Note. Estimates are unstandardized b-values with robust standard errors in parentheses. The model without an interaction term is available in the Supplementary Information file, Appendix C. The model in Appendix C includes unstandardized and standardized coefficients as well as exact p-values. OLS = ordinary least squares.
*p < .05, **p < .01, ***p < .001.
Online News on Online Political Expression (OLS Estimates).
| All countries | United States | United Kingdom | France | |
|---|---|---|---|---|
| Online news | 1.04*** (0.02) | 1.00*** (0.04) | 1.09*** (0.04) | 1.05*** (0.04) |
| Age (18–75 years) | 0.01*** (0.00) | 0.01*** (0.00) | 0.01*** (0.00) | 0.01*** (0.00) |
| Online news × age | −0.01*** (0.00) | −0.01*** (0.00) | −0.01*** (0.00) | −0.01*** (0.00) |
| Controls | ||||
| Female | −0.06*** (0.01) | −0.11*** (0.02) | −0.05* (0.02) | −0.02 (0.02) |
| Education (ref. = 1: high school or less) | ||||
| Lower college | 0.02 (0.02) | −0.01 (0.03) | 0.09** (0.03) | −0.00 (0.03) |
| Bachelor's | 0.00 (0.01) | 0.02 (0.03) | 0.01 (0.02) | −0.02 (0.03) |
| More than bachelor's | −0.03 (02) | −0.01 (0.03) | −0.01 (0.04) | −0.07* (0.03) |
| Political interest (ref. = 1: not at all interested) | ||||
| Not very interested | −0.09*** (0.01) | −0.15*** (0.02) | −0.09*** (0.02) | −0.06** (0.02) |
| Fairly interested | −0.15*** (0.02) | −0.20*** (0.03) | −0.15*** (0.03) | −0.12*** (0.03) |
| Very interested | −0.03 (0.02) | 0.01 (0.04) | −0.08* (0.04) | −0.04 (0.04) |
| Country (ref. = USA) | ||||
| UK | −0.08*** (0.01) | – | – | – |
| France | 0.01 (0.01) | – | – | – |
| Year (ref. = 2017) | ||||
| 2019 | −0.08*** (0.01) | −0.08*** (0.02) | −0.07** (0.02) | −0.09*** (0.02) |
| 0.59 | 0.62 | 0.55 | 0.57 | |
| N | 8,940 | 3,016 | 2,944 | 2,980 |
Note. Estimates are unstandardized b-values with robust standard errors in parentheses. The model without an interaction term is available in the Supplementary Information file, Appendix D. The model in Appendix D includes unstandardized and standardized coefficients as well as exact p-values. OLS = ordinary least squares.
*p < .05, **p < .01, ***p < .001.
Figure 1.Use of online news by age (mean values).
Figure 2.Online political expression by age (mean values).
Figure 4.The marginal effect of news use on online political expression across different age groups.