The Dynamics of Information-Seeking Repertoires: A Cross-Sectional Latent Class Analysis of Information-Seeking During the COVID-19 Pandemic

Figures & data

Figure 1. Item response probabilities: alternative pluralists (wave 1).

Note: Range is from high to low: dark = high use; light = low use. Missing data modeled at listwise deletion. Total N = 9240.

Figure 2. Item response probabilities: mainstream pluralists (LFU) (wave 1).

Note: Range is from high to low: dark = high use; light = low use. Missing data modeled at listwise deletion. Total N = 9240.

Figure 3. Item response probabilities: mainstream pluralists (FU) (wave 1).

Note: Range is from high to low: dark = high use; light = low use. Missing data modeled at listwise deletion. Total N = 9240.

Figure 4. Item response probabilities: news junkies (wave 1).

Note: Range is from high to low: dark = high use; light = low use. Missing data modeled at listwise deletion. Total N = 9240.

Figure 5. Item response probabilities: minimalists (wave 2).

Note: Range is from high to low: dark = high use; light = low use. Missing data modeled at listwise deletion. Total N = 8790.

Figure 6. Item response probabilities: selective minimalists (wave 2).

Note: Range is from high to low: dark = high use; light = low use. Missing data modeled at listwise deletion. Total N = 8790.

Figure 7. Item response probabilities: news-oriented traditionalists (wave 1).

Note: Range is from high to low: dark = high use; light = low use. Missing data modeled at listwise deletion. Total N = 9240.

Figure 8. Item response probabilities: socially-oriented traditionalists (wave 4).

Note: Range is from high to low: dark = high use; light = low use. Missing data modeled at listwise deletion. Total N = 7898.

Figure 9. Timeline of identified information-seeking repertoires according to phases.

Data availability statement

Data is available on request from the corresponding author due to privacy/ethics restrictions.