Table 3 Predictors of press coverage - summary of the OLS regression modeling the relationship between legality, scale, target, NE, partisanship and newspaper coverage for 1) all coverage of climate actions and 2) coverage of XR actions, including effect sizes and unconditional robust standard errors in parentheses.

From: The power of protest in the media: examining portrayals of climate activism in UK news

Variable

All coverage

Focused on XR

Legal (Illegal)

157.145 (74.319)

164.376 (107.325)

Scale (Local)

London

99.411 (50.283)

246.481 (109.615)

National, Coordinated

−180.955 (73.613)

−72.842 (200.270)

Target (Public)

Government

−1.307 (93.219)

−163.488 (125.769)

Elite

−16.808 (75.015)

223.284 (137.159)

Industry

375.710 (165.326)

173.053 (103.270)

National Event (not targeting a sporting event)

National

−45.579 (61.527)

−171.236 (79.323)

Non-National

136.161 (186.196)

NA

Partisanship (Neutral)

conservative

129.668 (50.456)

129.773 (84.731)

liberal

124.830 (58.947)

156.666 (90.134)

Month

49.901 (26.048)

29.114 (46.123)

Intercept

−93.437 (131.012)

−140.878 (208.902)

Observations

192

103

  1. Left column is all articles that mention XR, right is all articles that are focused (>50% of coverage) on XR. For categorical variables, the reference category is indicated in parentheses. Bold terms denotes p < 0.05, bold terms with a * denotes p < 0.01.
  2. Regression specification: \(Press\,Coverage = \beta _0 + \beta _1Legality + \beta _2Scale + \beta _3Target + \beta _4NE + \beta _5Cons + \beta _6Month + \beta _6Day + {\it{\epsilon }}_i\).